IoT Coffee Talk: Episode 204 - Privacy First is Citizen First

computer all right okay we got computer all right okay we got uh we got Leonard in remote location uh we got Leonard in remote location uh we got Leonard in remote location here in an airport beautiful feix here in an airport beautiful feix here in an airport beautiful feix airport and Debbie as well so that's airport and Debbie as well so that's airport and Debbie as well so that's awes oh so let me start with my my awes oh so let me start with my my awes oh so let me start with my my little musical so obviously Leonard little musical so obviously Leonard little musical so obviously Leonard doesn't have his guitar with him so you doesn't have his guitar with him so you doesn't have his guitar with him so you everyone's now listen to me you're my everyone's now listen to me you're my everyone's now listen to me you're my backup I'm the back my back back all backup I'm the back my back back all backup I'm the back my back back all right here we [Music] [Music] [Applause] [Applause] [Applause] [Music] [Music] [Music] [Applause] [Applause] [Applause] w w w yeah little way a little way in the yeah little way a little way in the yeah little way a little way in the morning little way I don't know I kind morning little way I don't know I kind morning little way I don't know I kind of get the feeling that Pete likes of get the feeling that Pete likes of get the feeling that Pete likes guitars maybe oh yes maybe yeah you have guitars maybe oh yes maybe yeah you have guitars maybe oh yes maybe yeah you have that beautiful white one man yeah that that beautiful white one man yeah that that beautiful white one man yeah that is a 7 79 Strat back is a 7 79 Strat back is a 7 79 Strat back there uh I was telling Leonard that was there uh I was telling Leonard that was there uh I was telling Leonard that was actually I got that for my bar mitzvah actually I got that for my bar mitzvah actually I got that for my bar mitzvah that's how old it is and uh yeah no it's

that's how old it is and uh yeah no it's that's how old it is and uh yeah no it's it's a that's that's a nice one back it's a that's that's a nice one back it's a that's that's a nice one back there and then there's a little Martin a there and then there's a little Martin a there and then there's a little Martin a Martin dreadn next to it oh my God are Martin dreadn next to it oh my God are Martin dreadn next to it oh my God are you serious yeah that's you know the you serious yeah that's you know the you serious yeah that's you know the Martin are so amazing I love going to Martin are so amazing I love going to Martin are so amazing I love going to the N show and hanging out in their the N show and hanging out in their the N show and hanging out in their stand and just checking out I just stand and just checking out I just stand and just checking out I just playing I mean their guitars sound so playing I mean their guitars sound so playing I mean their guitars sound so great oh yeah you no it's amazing it's great oh yeah you no it's amazing it's great oh yeah you no it's amazing it's they're artists they're artists you know they're artists they're artists you know they're artists they're artists you know so yeah so um really quick we got to do so yeah so um really quick we got to do so yeah so um really quick we got to do our disclaimer hey everybody uh welcome our disclaimer hey everybody uh welcome our disclaimer hey everybody uh welcome to iot copy talk uh just a gentle to iot copy talk uh just a gentle to iot copy talk uh just a gentle reminder reminder reminder it you take us seriously at your own it you take us seriously at your own it you take us seriously at your own risk people do not like do Investments risk people do not like do Investments risk people do not like do Investments or any of this crap that's right uh or any of this crap that's right uh or any of this crap that's right uh based on what we say don't do the based on what we say don't do the based on what we say don't do the opposite don't you know do for it just opposite don't you know do for it just opposite don't you know do for it just you know we're having fun and just want you know we're having fun and just want you know we're having fun and just want to say uh it's just absolute pleasure to to say uh it's just absolute pleasure to to say uh it's just absolute pleasure to have Debbie reyolds on he is the data have Debbie reyolds on he is the data have Debbie reyolds on he is the data Diva you know she's been on my podcast Diva you know she's been on my podcast Diva you know she's been on my podcast several times we have a collaboration several times we have a collaboration several times we have a collaboration going on and um man I you know talk going on and um man I you know talk going on and um man I you know talk about somebody who's a Pioneer that about somebody who's a Pioneer that about somebody who's a Pioneer that really uh you know dug deep leaned into really uh you know dug deep leaned into really uh you know dug deep leaned into to privacy early on before anybody was to privacy early on before anybody was to privacy early on before anybody was really talking about it and I'm a big really talking about it and I'm a big really talking about it and I'm a big fan of uh Debbie and Debbie welcome this fan of uh Debbie and Debbie welcome this fan of uh Debbie and Debbie welcome this so good to have you on iot Coffee Talk so good to have you on iot Coffee Talk so good to have you on iot Coffee Talk of all places thank you I'm so it took of all places thank you I'm so it took of all places thank you I'm so it took me a long time to get my schedule so I

me a long time to get my schedule so I me a long time to get my schedule so I could be on one of these so I was happy could be on one of these so I was happy could be on one of these so I was happy to jump into to jump into to jump into yeah that's awesome Bill Bill Bill's yeah that's awesome Bill Bill Bill's yeah that's awesome Bill Bill Bill's wanted you on and I don't know why he's wanted you on and I don't know why he's wanted you on and I don't know why he's not here you can give him a hard time not here you can give him a hard time not here you can give him a hard time when he comes on though that's right you when he comes on though that's right you when he comes on though that's right you should should should totally no you can you can give him a totally no you can you can give him a totally no you can you can give him a you can give them a you know you can you can give them a you know you can you can give them a you know you can raise them uh you know public here on raise them uh you know public here on raise them uh you know public here on iot coffee toop right in the face if you iot coffee toop right in the face if you iot coffee toop right in the face if you don't I will yeah I can do that I can do don't I will yeah I can do that I can do don't I will yeah I can do that I can do that yeah yeah so so Leonard where are that yeah yeah so so Leonard where are that yeah yeah so so Leonard where are you where are you coming from where are you where are you coming from where are you where are you coming from where are you going what what is your Transit you going what what is your Transit you going what what is your Transit situation yeah this week is crazy right situation yeah this week is crazy right situation yeah this week is crazy right um we have um Intel Innovation so that's um we have um Intel Innovation so that's um we have um Intel Innovation so that's what I was what I was what I was attending um past couple of days um that attending um past couple of days um that attending um past couple of days um that conference um hopefully obviously by conference um hopefully obviously by conference um hopefully obviously by Intel um there's embedded world going on Intel um there's embedded world going on Intel um there's embedded world going on a lot of news coming out of embedded a lot of news coming out of embedded a lot of news coming out of embedded world yeah I you know I was just like world yeah I you know I was just like world yeah I you know I was just like triple book so I'm just like attending triple book so I'm just like attending triple book so I'm just like attending virtually certain uh conf because virtually certain uh conf because virtually certain uh conf because there's Googled Cloud next or next cloud there's Googled Cloud next or next cloud there's Googled Cloud next or next cloud or whatever they call it or whatever they call it or whatever they call it right um and I'm missing something else right um and I'm missing something else right um and I'm missing something else um I'm sure there's a few there's um I'm sure there's a few there's um I'm sure there's a few there's probably a half a dozen other ones going probably a half a dozen other ones going probably a half a dozen other ones going on at the same time yeah yeah so yeah on at the same time yeah yeah so yeah on at the same time yeah yeah so yeah it's it's been really it's been really it's it's been really it's been really it's it's been really it's been really um uh insane week and um it at in it's um uh insane week and um it at in it's um uh insane week and um it at in it's funny I mentioned to this to you guys

funny I mentioned to this to you guys funny I mentioned to this to you guys earlier but um you know of course I hang earlier but um you know of course I hang earlier but um you know of course I hang out with a bunch of analysts and we see out with a bunch of analysts and we see out with a bunch of analysts and we see each other at all these each other at all these each other at all these conferences conferences conferences and I think all collectively all of us and I think all collectively all of us and I think all collectively all of us have like AI fatigue you know and it's have like AI fatigue you know and it's have like AI fatigue you know and it's really you know it's weird because the really you know it's weird because the really you know it's weird because the term AI the acronym AI has been term AI the acronym AI has been term AI the acronym AI has been appropriated by generative AI so now appropriated by generative AI so now appropriated by generative AI so now when people give onage indidual when people give onage indidual when people give onage indidual AI they're I they're really kind of AI they're I they're really kind of AI they're I they're really kind of talking about generative AI right and so talking about generative AI right and so talking about generative AI right and so um I feel really bad for all the other um I feel really bad for all the other um I feel really bad for all the other AI stuff out there that actually works AI stuff out there that actually works AI stuff out there that actually works um and uh that you know Enterprises have um and uh that you know Enterprises have um and uh that you know Enterprises have been using industrial uh companies and been using industrial uh companies and been using industrial uh companies and Manufacturing have been using for a long Manufacturing have been using for a long Manufacturing have been using for a long time primarily computer vision right time primarily computer vision right time primarily computer vision right yeah um but yeah uh it is kind of well I yeah um but yeah uh it is kind of well I yeah um but yeah uh it is kind of well I think now that AI has kind of become a think now that AI has kind of become a think now that AI has kind of become a you know 6:00 news story uh in the you know 6:00 news story uh in the you know 6:00 news story uh in the public Consciousness it's been you know public Consciousness it's been you know public Consciousness it's been you know obviously a little bit oversimplified obviously a little bit oversimplified obviously a little bit oversimplified when they talk about it they talk about when they talk about it they talk about when they talk about it they talk about generative AI or chat Bots or things generative AI or chat Bots or things generative AI or chat Bots or things like that but as we know there's been like that but as we know there's been like that but as we know there's been you know anomaly detection and AI Vision you know anomaly detection and AI Vision you know anomaly detection and AI Vision using cnns all kinds of stuff but you using cnns all kinds of stuff but you using cnns all kinds of stuff but you know that's like a level of detail that know that's like a level of detail that know that's like a level of detail that tends to not uh get focused I I think tends to not uh get focused I I think tends to not uh get focused I I think actually it's good oh Bill's here uh I actually it's good oh Bill's here uh I actually it's good oh Bill's here uh I think it's good certain extent it's like think it's good certain extent it's like think it's good certain extent it's like um all this attention all this Main

um all this attention all this Main um all this attention all this Main Street attention to AI I think is Street attention to AI I think is Street attention to AI I think is helping a lot of the more obscure helping a lot of the more obscure helping a lot of the more obscure applications of AI over the years that applications of AI over the years that applications of AI over the years that are now getting a little more attention are now getting a little more attention are now getting a little more attention which is good but at the same time they which is good but at the same time they which is good but at the same time they tend to be a little tend to be a little tend to be a little oversimplified um yeah but that's part oversimplified um yeah but that's part oversimplified um yeah but that's part of our job right is to help explain to of our job right is to help explain to of our job right is to help explain to folks where where is AI really folks where where is AI really folks where where is AI really applicable to help businesses and where applicable to help businesses and where applicable to help businesses and where is it maybe more of a science experiment is it maybe more of a science experiment is it maybe more of a science experiment or a cool demo U so beware of the cool or a cool demo U so beware of the cool or a cool demo U so beware of the cool demo you know well yeah at least kick demo you know well yeah at least kick demo you know well yeah at least kick the tires on the tires on the tires on you know hard hey Bill what's up there's you know hard hey Bill what's up there's you know hard hey Bill what's up there's Bill what's upy Guess Who on hey Debbie Bill what's upy Guess Who on hey Debbie Bill what's upy Guess Who on hey Debbie hey Bill thank you for bringing your hey Bill thank you for bringing your hey Bill thank you for bringing your radio voice I love it oh well you know I radio voice I love it oh well you know I radio voice I love it oh well you know I I I've been carrying this with me since I I've been carrying this with me since I I've been carrying this with me since I was 13 I was 13 I was 13 so are you serious you're a 13y old with so are you serious you're a 13y old with so are you serious you're a 13y old with that voice I was 13 and no get this I that voice I was 13 and no get this I that voice I was 13 and no get this I would go like I might have friends a would go like I might have friends a would go like I might have friends a female friend I'd go to her house and my female friend I'd go to her house and my female friend I'd go to her house and my voice is deeper than are fathers oh my God I mean I was told I fathers oh my God I mean I was told I don't know how many times you know you don't know how many times you know you don't know how many times you know you better take some of that baritone out of better take some of that baritone out of better take some of that baritone out of your voice and I'm like your voice and I'm like your voice and I'm like uh hi I think you might want to gain some I can only imagine that hi Mommy I some I can only imagine that hi Mommy I had a good day at school had a good day at school had a good day at school today orange today orange today orange juice but it it's worked out well it's juice but it it's worked out well it's juice but it it's worked out well it's worked out well good yeah yeah well

worked out well good yeah yeah well worked out well good yeah yeah well you're on iot coffee talk just it's the you're on iot coffee talk just it's the you're on iot coffee talk just it's the next best thing to being on radio right next best thing to being on radio right next best thing to being on radio right so that's right yeah there you so that's right yeah there you so that's right yeah there you go W so we're we're we're just so go W so we're we're we're just so go W so we're we're we're just so excited so Debbie what's up what you excited so Debbie what's up what you excited so Debbie what's up what you been up to lately yeah I mean no doubt been up to lately yeah I mean no doubt been up to lately yeah I mean no doubt we're gonna be talking about privacy and we're gonna be talking about privacy and we're gonna be talking about privacy and security to some degree right so yeah security to some degree right so yeah security to some degree right so yeah wow wow see let people let the people wow wow see let people let the people wow wow see let people let the people know why get well I do a lot of speaking know why get well I do a lot of speaking know why get well I do a lot of speaking uh about AI um because you know my uh about AI um because you know my uh about AI um because you know my background a tech you know I'm a background a tech you know I'm a background a tech you know I'm a technologist and I've helped companies technologist and I've helped companies technologist and I've helped companies for many years around digital for many years around digital for many years around digital transformation so a lot of it is you transformation so a lot of it is you transformation so a lot of it is you know what is this g b stuff uh how do I know what is this g b stuff uh how do I know what is this g b stuff uh how do I use it should I use it what are the not use it should I use it what are the not use it should I use it what are the not only the the benefits which we hear a only the the benefits which we hear a only the the benefits which we hear a lot of that right but what are kind of lot of that right but what are kind of lot of that right but what are kind of the risk and why should I should I the risk and why should I should I the risk and why should I should I should I not use it so you know I've should I not use it so you know I've should I not use it so you know I've been talking to you know teeny weeny been talking to you know teeny weeny been talking to you know teeny weeny companies like you know PayPal and companies like you know PayPal and companies like you know PayPal and cocacola and Uber about these things uh yeah Coca-Cola chat I can use things uh yeah Coca-Cola chat I can use one of those yeah absolutely so you know one of those yeah absolutely so you know one of those yeah absolutely so you know it's one of those things where you know it's one of those things where you know it's one of those things where you know it's a tool and it's like so a lot of it's a tool and it's like so a lot of it's a tool and it's like so a lot of companies who want to use it they start companies who want to use it they start companies who want to use it they start with yeah let's let's you know we want with yeah let's let's you know we want with yeah let's let's you know we want to adopt Ai and they spend money and to adopt Ai and they spend money and to adopt Ai and they spend money and they get this tool and then they can't they get this tool and then they can't they get this tool and then they can't use it right like they don't know first use it right like they don't know first use it right like they don't know first of all they may not have a skill and how of all they may not have a skill and how of all they may not have a skill and how to use it it may not be the right tool a

to use it it may not be the right tool a to use it it may not be the right tool a lot of companies their data isn't any in lot of companies their data isn't any in lot of companies their data isn't any in any shape whatsoever for them to even any shape whatsoever for them to even any shape whatsoever for them to even adopt any AI at all right so a lot of adopt any AI at all right so a lot of adopt any AI at all right so a lot of that is you know I guess if you wanted that is you know I guess if you wanted that is you know I guess if you wanted to nail um put a nail in the wall you to nail um put a nail in the wall you to nail um put a nail in the wall you could use a wrench but it's probably not could use a wrench but it's probably not could use a wrench but it's probably not the best thing you know maybe get a the best thing you know maybe get a the best thing you know maybe get a hammer for that so I think so many hammer for that so I think so many hammer for that so I think so many people unfortunately are leading with people unfortunately are leading with people unfortunately are leading with the technology and not really thinking the technology and not really thinking the technology and not really thinking about what they're true problems are and about what they're true problems are and about what they're true problems are and not all their problems need AI right you not all their problems need AI right you not all their problems need AI right you can to me a lot of a lot can to me a lot of a lot can to me a lot of a lot of I get concerned when companies say of I get concerned when companies say of I get concerned when companies say you know in order for us to solve our you know in order for us to solve our you know in order for us to solve our problems we need more data right I'm problems we need more data right I'm problems we need more data right I'm like you have data you you don't even like you have data you you don't even like you have data you you don't even know how to manage right now right so know how to manage right now right so know how to manage right now right so you probably have the answers that you you probably have the answers that you you probably have the answers that you need in the data that you have right now need in the data that you have right now need in the data that you have right now so more data is not the solution and a so more data is not the solution and a so more data is not the solution and a lot of times more technology not be the lot of times more technology not be the lot of times more technology not be the solution as well so just really thinking solution as well so just really thinking solution as well so just really thinking through what those problems are and a through what those problems are and a through what those problems are and a lot of people are going to you know get lot of people are going to you know get lot of people are going to you know get a hard wake up call on that right where a hard wake up call on that right where a hard wake up call on that right where they spent a lot of money and you know I they spent a lot of money and you know I they spent a lot of money and you know I see a lot of money going into tools I'm see a lot of money going into tools I'm see a lot of money going into tools I'm not seeing enough money going into not seeing enough money going into not seeing enough money going into training and education because you know training and education because you know training and education because you know we have upskill people as well so yeah we have upskill people as well so yeah we have upskill people as well so yeah there's a lot of things converging right there's a lot of things converging right there's a lot of things converging right now my impression is is that there's a now my impression is is that there's a now my impression is is that there's a lot of people talking about you know gen lot of people talking about you know gen lot of people talking about you know gen transformation number one let's remember transformation number one let's remember transformation number one let's remember this is new hardly any companies have

this is new hardly any companies have this is new hardly any companies have ever done it there's not a lot of ever done it there's not a lot of ever done it there's not a lot of Consultants out there that know even Consultants out there that know even Consultants out there that know even what the path to value is okay that is what the path to value is okay that is what the path to value is okay that is straight up so when you you know um when straight up so when you you know um when straight up so when you you know um when you get these guys coming up to you and you get these guys coming up to you and you get these guys coming up to you and saying hey we can help you reinvent your saying hey we can help you reinvent your saying hey we can help you reinvent your business with d business with d business with d AI I mean that's red flag time that's AI I mean that's red flag time that's AI I mean that's red flag time that's where you need to get your ceso your CIO where you need to get your ceso your CIO where you need to get your ceso your CIO your domain experts I mean not forget your domain experts I mean not forget your domain experts I mean not forget them for the moment get them to keep the them for the moment get them to keep the them for the moment get them to keep the tires on these these uh company it tires on these these uh company it tires on these these uh company it doesn't matter at what scale even the doesn't matter at what scale even the doesn't matter at what scale even the biggest guys they they don't have that biggest guys they they don't have that biggest guys they they don't have that kind of scaled out you know um mature kind of scaled out you know um mature kind of scaled out you know um mature experience actually they call themselves experience actually they call themselves experience actually they call themselves Consultants I mean that's one of the Consultants I mean that's one of the Consultants I mean that's one of the things that you I go around and I I talk things that you I go around and I I talk things that you I go around and I I talk to I talk to a lot of to I talk to a lot of to I talk to a lot of companies that's what I get from the companies that's what I get from the companies that's what I get from the temperature check that I get so you know temperature check that I get so you know temperature check that I get so you know the right now everyone's doing Discovery the right now everyone's doing Discovery the right now everyone's doing Discovery and Debbie you're right it's not just and Debbie you're right it's not just and Debbie you're right it's not just data people have crappy information and data people have crappy information and data people have crappy information and they really have terrible knowledge they really have terrible knowledge they really have terrible knowledge bases Knowledge Management historically bases Knowledge Management historically bases Knowledge Management historically has been really really challenging for has been really really challenging for has been really really challenging for any Enterprise and that is really what any Enterprise and that is really what any Enterprise and that is really what you need to feed into these large you need to feed into these large you need to feed into these large language models if you're going to do language models if you're going to do language models if you're going to do fine tuning or you're going to do a rag fine tuning or you're going to do a rag fine tuning or you're going to do a rag or whatever and um you know uh if you or whatever and um you know uh if you or whatever and um you know uh if you shortcut this stuff you're really G to shortcut this stuff you're really G to shortcut this stuff you're really G to get a lot of junk yeah you know because get a lot of junk yeah you know because get a lot of junk yeah you know because there's a whole life cycle that people there's a whole life cycle that people there's a whole life cycle that people have largely ignored until now and even have largely ignored until now and even have largely ignored until now and even I think that life cycle conversation is

I think that life cycle conversation is I think that life cycle conversation is still really immature and I talked to a still really immature and I talked to a still really immature and I talked to a couple of vendor I'm not going to name couple of vendor I'm not going to name couple of vendor I'm not going to name names but they they are they are names but they they are they are names but they they are they are basically positioned some of their let's basically positioned some of their let's basically positioned some of their let's say conventional AI management life say conventional AI management life say conventional AI management life cycle management tools whether it's AI cycle management tools whether it's AI cycle management tools whether it's AI Ops or you know they're trying to call Ops or you know they're trying to call Ops or you know they're trying to call it gen um geni Ops stuff and then geni m it gen um geni Ops stuff and then geni m it gen um geni Ops stuff and then geni m management these conventional governance management these conventional governance management these conventional governance tools and Deb tools and Frameworks tools and Deb tools and Frameworks tools and Deb tools and Frameworks they're trying to transpose that onto J they're trying to transpose that onto J they're trying to transpose that onto J Ai and when you ask the questions that I Ai and when you ask the questions that I Ai and when you ask the questions that I usually ask you find out wait a minute usually ask you find out wait a minute usually ask you find out wait a minute okay this this stuff is not going to okay this this stuff is not going to okay this this stuff is not going to work like that right you know and so work like that right you know and so work like that right you know and so there's going to be a ton of learning there's going to be a ton of learning there's going to be a ton of learning but most of the learning is going to be but most of the learning is going to be but most of the learning is going to be not you know what these things can do is not you know what these things can do is not you know what these things can do is what they can't do and what people what they can't do and what people what they can't do and what people really uh really know about you know how really uh really know about you know how really uh really know about you know how value these tools you know yeah I think value these tools you know yeah I think value these tools you know yeah I think also the I was going to say the also the I was going to say the also the I was going to say the definition of terms like you know definition of terms like you know definition of terms like you know generative AI usually that refers to generative AI usually that refers to generative AI usually that refers to like Transformer model architecture like Transformer model architecture like Transformer model architecture right which is different than a large right which is different than a large right which is different than a large language model and so you could use language model and so you could use language model and so you could use generative Ai and like Vision generative Ai and like Vision generative Ai and like Vision Transformers right to analyze complex Transformers right to analyze complex Transformers right to analyze complex images and it's really valuable like you images and it's really valuable like you images and it's really valuable like you can use very low lowcost image can use very low lowcost image can use very low lowcost image collection and then use generative AI as collection and then use generative AI as collection and then use generative AI as an image trans former to describe what's an image trans former to describe what's an image trans former to describe what's in that scene or what's happening and so in that scene or what's happening and so in that scene or what's happening and so it's Way Beyond sort of the traditional it's Way Beyond sort of the traditional it's Way Beyond sort of the traditional sort of hot dog not hot dog you know um sort of hot dog not hot dog you know um sort of hot dog not hot dog you know um kind of vision AI but then there's like

kind of vision AI but then there's like kind of vision AI but then there's like the actual chat Bots and things when the actual chat Bots and things when the actual chat Bots and things when people think of generative AI they think people think of generative AI they think people think of generative AI they think of chatbots and like you were saying of chatbots and like you were saying of chatbots and like you were saying Leonard and also Debbie like a lot of Leonard and also Debbie like a lot of Leonard and also Debbie like a lot of these companies think they'll just sort these companies think they'll just sort these companies think they'll just sort of throw up a chatbot based on their of throw up a chatbot based on their of throw up a chatbot based on their corporate data and the fact is the heavy corporate data and the fact is the heavy corporate data and the fact is the heavy lifting is the corporate data is kind of lifting is the corporate data is kind of lifting is the corporate data is kind of a mess um it's in no position to be a mess um it's in no position to be a mess um it's in no position to be indexed and you know training to be indexed and you know training to be indexed and you know training to be training a chatbot and that's you know training a chatbot and that's you know training a chatbot and that's you know if there's some money to be made for if there's some money to be made for if there's some money to be made for Consultants it's working with companies Consultants it's working with companies Consultants it's working with companies to get their data in shape um existing to get their data in shape um existing to get their data in shape um existing data so that they could then do things data so that they could then do things data so that they could then do things with it but you know when people take a with it but you know when people take a with it but you know when people take a look at their corporate data remember look at their corporate data remember look at their corporate data remember when I was at Microsoft we always had uh when I was at Microsoft we always had uh when I was at Microsoft we always had uh corporate search at mssw and it would corporate search at mssw and it would corporate search at mssw and it would search across all these SharePoint at search across all these SharePoint at search across all these SharePoint at Microsoft for for your answer and it was Microsoft for for your answer and it was Microsoft for for your answer and it was always a mess like you would it would always a mess like you would it would always a mess like you would it would just be random share points from like just be random share points from like just be random share points from like you know 100,000 employees you'd be like you know 100,000 employees you'd be like you know 100,000 employees you'd be like I'm not finding anything of value in I'm not finding anything of value in I'm not finding anything of value in this at all so that's kind of where it's this at all so that's kind of where it's this at all so that's kind of where it's at with a lot of companies it's a bunch at with a lot of companies it's a bunch at with a lot of companies it's a bunch of share points with a bunch of data on of share points with a bunch of data on of share points with a bunch of data on it someone needs to go in there and it someone needs to go in there and it someone needs to go in there and clean it up and make sense of it so you clean it up and make sense of it so you clean it up and make sense of it so you can train it if you're gonna use it can train it if you're gonna use it can train it if you're gonna use it that's that's heavy lifting it's not that's that's heavy lifting it's not that's that's heavy lifting it's not glamorous I guess two two things glamorous I guess two two things glamorous I guess two two things governance within data governance has governance within data governance has governance within data governance has been woefully been woefully been woefully under um undervalued and under resourced under um undervalued and under resourced under um undervalued and under resourced uh within organizations and so and order uh within organizations and so and order uh within organizations and so and order for companies to be in a position to for companies to be in a position to for companies to be in a position to even do stuff that they're they're even do stuff that they're they're even do stuff that they're they're dreaming of they have to have their dreaming of they have to have their dreaming of they have to have their house in order on the data governance house in order on the data governance house in order on the data governance side and a lot of people don't have it side and a lot of people don't have it side and a lot of people don't have it and to Pete's idea as soon as I heard

and to Pete's idea as soon as I heard and to Pete's idea as soon as I heard people trying to do you know uh use G of people trying to do you know uh use G of people trying to do you know uh use G of AI as some type like Enterprise search AI as some type like Enterprise search AI as some type like Enterprise search you know I thought around what a you know I thought around what a you know I thought around what a disaster Enterprise search was uh disaster Enterprise search was uh disaster Enterprise search was uh because a lot of people like yeah let's because a lot of people like yeah let's because a lot of people like yeah let's just search everything and then they just search everything and then they just search everything and then they were like oh my God why is that and you were like oh my God why is that and you were like oh my God why is that and you know they don't have the permissions are know they don't have the permissions are know they don't have the permissions are not right this is all types of stuff so not right this is all types of stuff so not right this is all types of stuff so there you know there are things that are there you know there are things that are there you know there are things that are um you you know so many companies have um you you know so many companies have um you you know so many companies have done uh security by obscurity right done uh security by obscurity right done uh security by obscurity right where stuff is out there it's not where stuff is out there it's not where stuff is out there it's not properly secure but they're like no properly secure but they're like no properly secure but they're like no one's going to look at that no one cares one's going to look at that no one cares one's going to look at that no one cares about that but then now you have about that but then now you have about that but then now you have something that's actively sucking data something that's actively sucking data something that's actively sucking data into it and it's putting it out and it's into it and it's putting it out and it's into it and it's putting it out and it's like okay well you know marketing wasn't like okay well you know marketing wasn't like okay well you know marketing wasn't supposed to see the HR stuff or you know supposed to see the HR stuff or you know supposed to see the HR stuff or you know all this other type stuff or that secret all this other type stuff or that secret all this other type stuff or that secret project you know that's and the project you know that's and the project you know that's and the Enterprise search results at the top of Enterprise search results at the top of Enterprise search results at the top of this thing and it's like yeah yeah so I this thing and it's like yeah yeah so I this thing and it's like yeah yeah so I mean we still haven't solved those mean we still haven't solved those mean we still haven't solved those foundational base problem so trying to foundational base problem so trying to foundational base problem so trying to add something new on top is is is you add something new on top is is is you add something new on top is is is you know huge huge red flag that's a big know huge huge red flag that's a big know huge huge red flag that's a big Band-Aid right at the end of the day I Band-Aid right at the end of the day I Band-Aid right at the end of the day I mean for for for 12 years every single mean for for for 12 years every single mean for for for 12 years every single City that I've worked with has had the City that I've worked with has had the City that I've worked with has had the same issue they have tons of data they same issue they have tons of data they same issue they have tons of data they don't it's not contextualized it's not don't it's not contextualized it's not don't it's not contextualized it's not organized organized organized it's dirty data and it's in a multitude it's dirty data and it's in a multitude it's dirty data and it's in a multitude of of of of of of formats um and and I mean so yes the formats um and and I mean so yes the formats um and and I mean so yes the data problem is going to exist until

data problem is going to exist until data problem is going to exist until they take it serious enough and they're they take it serious enough and they're they take it serious enough and they're ignoring the Brownfield issues and ignoring the Brownfield issues and ignoring the Brownfield issues and looking towards field opportunities and looking towards field opportunities and looking towards field opportunities and saying oh well we can get out of our saying oh well we can get out of our saying oh well we can get out of our Tech debt by doing this and I mean it Tech debt by doing this and I mean it Tech debt by doing this and I mean it again it's it's I mean I all the digital again it's it's I mean I all the digital again it's it's I mean I all the digital twins that have been built use machine twins that have been built use machine twins that have been built use machine learning they they just do and to say learning they they just do and to say learning they they just do and to say that we transform from machine learning that we transform from machine learning that we transform from machine learning into the AI part of it I have an issue into the AI part of it I have an issue into the AI part of it I have an issue when it comes to when it comes to when it comes to trust I have an issue when it comes to trust I have an issue when it comes to trust I have an issue when it comes to governance Providence and mutability I governance Providence and mutability I governance Providence and mutability I have an issue across all those things so have an issue across all those things so have an issue across all those things so how about we go back look at what the how about we go back look at what the how about we go back look at what the foundation needs to be secure that foundation needs to be secure that foundation needs to be secure that foundation and start to work forward foundation and start to work forward foundation and start to work forward from there um that I mean all of this from there um that I mean all of this from there um that I mean all of this every single company every single CSP every single company every single CSP every single company every single CSP has AI oh you should come and try our AI has AI oh you should come and try our AI has AI oh you should come and try our AI platform get the hell out of here with platform get the hell out of here with platform get the hell out of here with that how about how about we go solve that how about how about we go solve that how about how about we go solve some real problems and make sure that some real problems and make sure that some real problems and make sure that log 4J doesn't happen again yeah I mean log 4J doesn't happen again yeah I mean log 4J doesn't happen again yeah I mean you you you know I I you're you know your comment know I I you're you know your comment know I I you're you know your comment about actually it was odd we had a lot about actually it was odd we had a lot about actually it was odd we had a lot of conversations at Intel innovation of conversations at Intel innovation of conversations at Intel innovation about Greenfield and about Greenfield and about Greenfield and Brownfield uh I had a you know I was at Brownfield uh I had a you know I was at Brownfield uh I had a you know I was at a dinner with some animals who were a dinner with some animals who were a dinner with some animals who were talking talking talking about uh you know about uh you know about uh you know um we were talking about AI um that

um we were talking about AI um that um we were talking about AI um that whole process of getting it to Value whole process of getting it to Value whole process of getting it to Value right so the propit value you know a lot right so the propit value you know a lot right so the propit value you know a lot of people don't talk about how these of people don't talk about how these of people don't talk about how these things have to things have to things have to learn you just assume hey you go and you learn you just assume hey you go and you learn you just assume hey you go and you set up a vector database and get set up a vector database and get set up a vector database and get freaking plug it into every single thing freaking plug it into every single thing freaking plug it into every single thing you have in your Enterprise and next day you have in your Enterprise and next day you have in your Enterprise and next day this thing is going to do you know this thing is going to do you know this thing is going to do you know exponential stuff for your business exponential stuff for your business exponential stuff for your business that's like no that's not how it works that's like no that's not how it works that's like no that's not how it works it's going to get a crap ton of stuff it's going to get a crap ton of stuff it's going to get a crap ton of stuff wrong there's going to have to be human wrong there's going to have to be human wrong there's going to have to be human reinforcement live on your reinforcement live on your reinforcement live on your business and you're gonna have to business and you're gonna have to business and you're gonna have to freaking teach this thing babysit this freaking teach this thing babysit this freaking teach this thing babysit this thing until it gets to a point where thing until it gets to a point where thing until it gets to a point where it's actually effective why people don't it's actually effective why people don't it's actually effective why people don't understand this it just is a test it's a understand this it just is a test it's a understand this it just is a test it's a testament to how little people actually testament to how little people actually testament to how little people actually understand Ai and there's so many people understand Ai and there's so many people understand Ai and there's so many people talking about it and but you have to talking about it and but you have to talking about it and but you have to understand it you know holistically how understand it you know holistically how understand it you know holistically how Solutions come to Market and you know I Solutions come to Market and you know I Solutions come to Market and you know I had a really interesting conversation had a really interesting conversation had a really interesting conversation with with one of the um analysts who with with one of the um analysts who with with one of the um analysts who from one of the big firms who actually from one of the big firms who actually from one of the big firms who actually has a technical background like me right has a technical background like me right has a technical background like me right actually have to deliver stuff and you actually have to deliver stuff and you actually have to deliver stuff and you know more than to trench it and we say know more than to trench it and we say know more than to trench it and we say yeah you know that's the problem with yeah you know that's the problem with yeah you know that's the problem with you know we have a lot of folks in the you know we have a lot of folks in the you know we have a lot of folks in the industry who never actually delivered industry who never actually delivered industry who never actually delivered crap putting ridiculous Notions of how crap putting ridiculous Notions of how crap putting ridiculous Notions of how Technologies translate into business Technologies translate into business Technologies translate into business value they've never seen or experienced

value they've never seen or experienced value they've never seen or experienced that Cy that they've read maybe read that Cy that they've read maybe read that Cy that they've read maybe read about it it's usually wrong it's about it it's usually wrong it's about it it's usually wrong it's academic that's not how stuff works academic that's not how stuff works academic that's not how stuff works that's not how [ __ ] works as they say that's not how [ __ ] works as they say that's not how [ __ ] works as they say right or as Bill would say and you know right or as Bill would say and you know right or as Bill would say and you know get the hell out out of here with that get the hell out out of here with that get the hell out out of here with that stuff because without these kind of stuff because without these kind of stuff because without these kind of nuanced um you know perspectives on how nuanced um you know perspectives on how nuanced um you know perspectives on how things actually work um you know it's things actually work um you know it's things actually work um you know it's all just yeah the expectations are all just yeah the expectations are all just yeah the expectations are misset and uh the CEO is wondering why misset and uh the CEO is wondering why misset and uh the CEO is wondering why their chatbot doesn't work right and you their chatbot doesn't work right and you their chatbot doesn't work right and you know that's part of the learning curve I know that's part of the learning curve I know that's part of the learning curve I think what you know the places where think what you know the places where think what you know the places where I've seen the the large language models I've seen the the large language models I've seen the the large language models be more successful in generative AI is be more successful in generative AI is be more successful in generative AI is in when they're sort of co-pilots of in when they're sort of co-pilots of in when they're sort of co-pilots of existing Solutions so you know the co existing Solutions so you know the co existing Solutions so you know the co pilot for GitHub for example things like pilot for GitHub for example things like pilot for GitHub for example things like that where you've got a you got a that where you've got a you got a that where you've got a you got a platform that's pretty focused and now platform that's pretty focused and now platform that's pretty focused and now you're supercharging it with with some you're supercharging it with with some you're supercharging it with with some you know generative AI to help people you know generative AI to help people you know generative AI to help people who are using that platform do more get who are using that platform do more get who are using that platform do more get more out of it I think that that's a more out of it I think that that's a more out of it I think that that's a much better return on value than some of much better return on value than some of much better return on value than some of the more generic Enterprise enablement the more generic Enterprise enablement the more generic Enterprise enablement stuff I've seen but you know we'll see stuff I've seen but you know we'll see stuff I've seen but you know we'll see yeah yeah also I think companies should yeah yeah also I think companies should yeah yeah also I think companies should start small right so smart those start start small right so smart those start start small right so smart those start with those smaller lowrisk things but with those smaller lowrisk things but with those smaller lowrisk things but don't start to slide into those higher don't start to slide into those higher don't start to slide into those higher risk areas right so I don't think risk areas right so I don't think risk areas right so I don't think anybody cares if you use it for a anybody cares if you use it for a anybody cares if you use it for a lowrisk you know item you're not going lowrisk you know item you're not going lowrisk you know item you're not going to hurt anybody U maybe you hurt your to hurt anybody U maybe you hurt your to hurt anybody U maybe you hurt your pocketbook because you spent a lot of pocketbook because you spent a lot of pocketbook because you spent a lot of money um on a tool or or a Consulting money um on a tool or or a Consulting money um on a tool or or a Consulting but you at least you're not going to

but you at least you're not going to but you at least you're not going to harm anyone um you know their rights and harm anyone um you know their rights and harm anyone um you know their rights and things like that and that's an things like that and that's an things like that and that's an interesting comment um D because you interesting comment um D because you interesting comment um D because you know you and I have talked about this know you and I have talked about this know you and I have talked about this before right but a lot of the Valu comes before right but a lot of the Valu comes before right but a lot of the Valu comes from more narrow applications it have from more narrow applications it have from more narrow applications it have narrow AI but it the the scope of the narrow AI but it the the scope of the narrow AI but it the the scope of the the application what it does how it's the application what it does how it's the application what it does how it's designed and the boundaries that you designed and the boundaries that you designed and the boundaries that you give it in terms of how it can impact give it in terms of how it can impact give it in terms of how it can impact your business uh is narrow and then you your business uh is narrow and then you your business uh is narrow and then you know you can manage it you can channel know you can manage it you can channel know you can manage it you can channel uh what it does govern what it does so uh what it does govern what it does so uh what it does govern what it does so that it helps the that it helps the that it helps the organization and there's a lot more talk organization and there's a lot more talk organization and there's a lot more talk about that yeah about that yeah about that yeah how about definition I mean can we talk how about definition I mean can we talk how about definition I mean can we talk about definition I about definition I about definition I mean what I mean yeah I mean real right mean what I mean yeah I mean real right mean what I mean yeah I mean real right so look every every organization says so look every every organization says so look every every organization says they'll say oh we're experimenting with they'll say oh we're experimenting with they'll say oh we're experimenting with AI okay so the very first question I AI okay so the very first question I AI okay so the very first question I have is what does that mean to you yeah have is what does that mean to you yeah have is what does that mean to you yeah oh my God what does that mean to you oh my God what does that mean to you oh my God what does that mean to you you're experimenting with AI okay in you're experimenting with AI okay in you're experimenting with AI okay in what capacity in what way shape and what what capacity in what way shape and what what capacity in what way shape and what is your desired outcome right less labor is your desired outcome right less labor is your desired outcome right less labor cost you know I mean because so many cost you know I mean because so many cost you know I mean because so many times they're like oh well we're doing times they're like oh well we're doing times they're like oh well we're doing this and we're I'm like Splunk does that this and we're I'm like Splunk does that this and we're I'm like Splunk does that oh well we're doing this and we're doing oh well we're doing this and we're doing oh well we're doing this and we're doing that I'm like spreadsheets do that I that I'm like spreadsheets do that I that I'm like spreadsheets do that I mean there's there right name something mean there's there right name something mean there's there right name something that this thing is doing that I can't do

that this thing is doing that I can't do that this thing is doing that I can't do with a spreadsheet well so you know one of my spreadsheet well so you know one of my my favorite scenario this week I use my favorite scenario this week I use my favorite scenario this week I use streamyard to record and we're recording streamyard to record and we're recording streamyard to record and we're recording this Windows Phone Microsoft mobile this Windows Phone Microsoft mobile this Windows Phone Microsoft mobile series and we record video Snippets and series and we record video Snippets and series and we record video Snippets and of the cool things that they've added of the cool things that they've added of the cool things that they've added into streamyard for free apparently so into streamyard for free apparently so into streamyard for free apparently so they're not even charging extra for it they're not even charging extra for it they're not even charging extra for it now is it'll generate like video now is it'll generate like video now is it'll generate like video highlights of one minute video highlight highlights of one minute video highlight highlights of one minute video highlight from your recording so it'll analyze the from your recording so it'll analyze the from your recording so it'll analyze the content it'll use generative AI to sort content it'll use generative AI to sort content it'll use generative AI to sort of analyze what's being said and it'll of analyze what's being said and it'll of analyze what's being said and it'll come up with some nice and it that work come up with some nice and it that work come up with some nice and it that work works like pretty darn good so for me works like pretty darn good so for me works like pretty darn good so for me like that's a great example where I've like that's a great example where I've like that's a great example where I've just saved like an hour and if they to just saved like an hour and if they to just saved like an hour and if they to be honest with you if they charge me be honest with you if they charge me be honest with you if they charge me extra for it I would pay it I would pay extra for it I would pay it I would pay extra for it I would pay it I would pay it but they don't they just thrown it in it but they don't they just thrown it in it but they don't they just thrown it in there so I think we're going to see a there so I think we're going to see a there so I think we're going to see a lot more these AI capabilities added lot more these AI capabilities added lot more these AI capabilities added into existing systems and Business into existing systems and Business into existing systems and Business Systems too sap and payroll and all Systems too sap and payroll and all Systems too sap and payroll and all kinds of stuff where it'll give you more kinds of stuff where it'll give you more kinds of stuff where it'll give you more analysis of the content uh but isn't analysis of the content uh but isn't analysis of the content uh but isn't that just isn't that just glorified that just isn't that just glorified that just isn't that just glorified indexing well it's indexing but it's indexing well it's indexing but it's indexing well it's indexing but it's also analyzing the index and like giving also analyzing the index and like giving also analyzing the index and like giving you the the it's really is kind of like you the the it's really is kind of like you the the it's really is kind of like almost like labor replacement right so almost like labor replacement right so almost like labor replacement right so it's like instead of someone doing the it's like instead of someone doing the it's like instead of someone doing the work the computer's doing the work for work the computer's doing the work for work the computer's doing the work for you or for that person so Final Cut does you or for that person so Final Cut does you or for that person so Final Cut does that Final Cut is is is hard though that Final Cut is is is hard though that Final Cut is is is hard though Final Cuts yeah harder yeah it's Final Cuts yeah harder yeah it's Final Cuts yeah harder yeah it's complicated right my pay gr yeah right complicated right my pay gr yeah right complicated right my pay gr yeah right yeah right I mean we're talking about yeah right I mean we're talking about yeah right I mean we're talking about things that do exist so we're talking

things that do exist so we're talking things that do exist so we're talking about simplification of workflows yep about simplification of workflows yep about simplification of workflows yep and okay perfect so do more with less and okay perfect so do more with less and okay perfect so do more with less save save time save money maybe a save save save time save money maybe a save save save time save money maybe a save labor costs labor costs labor costs um now the question is is it as good I um now the question is is it as good I um now the question is is it as good I mean I always say like AI on one hand mean I always say like AI on one hand mean I always say like AI on one hand supercharges the employee and makes them supercharges the employee and makes them supercharges the employee and makes them so much better that's the best way in so much better that's the best way in so much better that's the best way in the worst case it replaces that employee the worst case it replaces that employee the worst case it replaces that employee with something that's like kind of 80% with something that's like kind of 80% with something that's like kind of 80% as good you know which is bad so you as good you know which is bad so you as good you know which is bad so you know different companies are going to know different companies are going to know different companies are going to embrace different strategies with it embrace different strategies with it embrace different strategies with it yeah but then there's the other part of yeah but then there's the other part of yeah but then there's the other part of the equation and Debbie and I talked the equation and Debbie and I talked the equation and Debbie and I talked about this very early on on the podcast about this very early on on the podcast about this very early on on the podcast we did is the the you know the 20% where we did is the the you know the 20% where we did is the the you know the 20% where it actually causes harm and where it can it actually causes harm and where it can it actually causes harm and where it can actually inject you know um bad actually inject you know um bad actually inject you know um bad information and um disrupt the business information and um disrupt the business information and um disrupt the business right um and we've already seen examples right um and we've already seen examples right um and we've already seen examples of that uh and then you know who do you of that uh and then you know who do you of that uh and then you know who do you blame do you blame the person do you blame do you blame the person do you blame do you blame the person do you blame the AI but these are like these blame the AI but these are like these blame the AI but these are like these are things that constructs that were I are things that constructs that were I are things that constructs that were I mean you know usually mean you know usually mean you know usually don't produce right it's like um and and don't produce right it's like um and and don't produce right it's like um and and so that that's the other thing that that so that that's the other thing that that so that that's the other thing that that has to be factored in is you have to has to be factored in is you have to has to be factored in is you have to look at um the risk aspect and you know look at um the risk aspect and you know look at um the risk aspect and you know Debbie I think uh that that's what we

Debbie I think uh that that's what we Debbie I think uh that that's what we were trying to we we consistently and were trying to we we consistently and were trying to we we consistently and even on iot cofy talk keep getting even on iot cofy talk keep getting even on iot cofy talk keep getting people to understand and understand the people to understand and understand the people to understand and understand the risk side of things don't just focus on risk side of things don't just focus on risk side of things don't just focus on the shiny object and no we don't need to the shiny object and no we don't need to the shiny object and no we don't need to go and experiment and get things wrong go and experiment and get things wrong go and experiment and get things wrong you can understand you can do a little you can understand you can do a little you can understand you can do a little bit of homework understand or talk to bit of homework understand or talk to bit of homework understand or talk to pros and pros and pros and experts uh and understand how you get to experts uh and understand how you get to experts uh and understand how you get to a path of value and not spend a ton of a path of value and not spend a ton of a path of value and not spend a ton of money on stuff that you're going to money on stuff that you're going to money on stuff that you're going to eventually just throw away and could eventually just throw away and could eventually just throw away and could potentially even do more I mean there's potentially even do more I mean there's potentially even do more I mean there's things called best practices right and things called best practices right and things called best practices right and and um you know people just tend to lose and um you know people just tend to lose and um you know people just tend to lose their minds and forget but there's no their minds and forget but there's no their minds and forget but there's no best practices around AI yeah I always best practices around AI yeah I always best practices around AI yeah I always like to tell people there is when we're like to tell people there is when we're like to tell people there is when we're thinking about Ai and this like speed of thinking about Ai and this like speed of thinking about Ai and this like speed of AI adoption it really is profit for the AI adoption it really is profit for the AI adoption it really is profit for the companies that are selling it but the companies that are selling it but the companies that are selling it but the risk is all of all of yours right so you risk is all of all of yours right so you risk is all of all of yours right so you what you purchase is what you purchase is what you purchase is risk so uh you need to really figure out risk so uh you need to really figure out risk so uh you need to really figure out you know how are you going to that risk you know how are you going to that risk you know how are you going to that risk because that company that that is because that company that that is because that company that that is selling you that tool they're not going selling you that tool they're not going selling you that tool they're not going to be responsible right they're not to be responsible right they're not to be responsible right they're not going to be called in the court uh they going to be called in the court uh they going to be called in the court uh they were like hey you know Leonard bought were like hey you know Leonard bought were like hey you know Leonard bought this tool and this is what he deal with this tool and this is what he deal with this tool and this is what he deal with it you know shame on you Leonard you it you know shame on you Leonard you it you know shame on you Leonard you shouldn't have done that right so they shouldn't have done that right so they shouldn't have done that right so they have indemnification Clauses built in

have indemnification Clauses built in have indemnification Clauses built in heavily on that stuff yeah um or at heavily on that stuff yeah um or at heavily on that stuff yeah um or at least they they try they try least they they try they try least they they try they try yeah right right but it's all about the yeah right right but it's all about the yeah right right but it's all about the use of those tools and so you don't use of those tools and so you don't use of those tools and so you don't really understand that I tell people you really understand that I tell people you really understand that I tell people you know if you don't understand it don't know if you don't understand it don't know if you don't understand it don't use it use it use it right practices right yeah education I right practices right yeah education I right practices right yeah education I think Debbie you mentioned is really key think Debbie you mentioned is really key think Debbie you mentioned is really key I think you know there's no shortage of I think you know there's no shortage of I think you know there's no shortage of opportunities to get educated on the web opportunities to get educated on the web opportunities to get educated on the web about you know these types of AI about you know these types of AI about you know these types of AI techniques and you know getting a little techniques and you know getting a little techniques and you know getting a little bit of uh you know understanding of the bit of uh you know understanding of the bit of uh you know understanding of the taxonomy and so when you are talking taxonomy and so when you are talking taxonomy and so when you are talking with your suppliers you know you're with your suppliers you know you're with your suppliers you know you're coming at it with you know a decent coming at it with you know a decent coming at it with you know a decent amount of understanding to begin with amount of understanding to begin with amount of understanding to begin with right you're not getting don't get right you're not getting don't get right you're not getting don't get educated by your suppliers get educated educated by your suppliers get educated educated by your suppliers get educated and then talk to your suppliers and and then talk to your suppliers and and then talk to your suppliers and figure out a solution so there's lots of figure out a solution so there's lots of figure out a solution so there's lots of great resources on the web to get great resources on the web to get great resources on the web to get educated about all these different types educated about all these different types educated about all these different types of AI not just the generative Ai and if of AI not just the generative Ai and if of AI not just the generative Ai and if you look at I mean here's the here's one you look at I mean here's the here's one you look at I mean here's the here's one of the issues that I have about how it's of the issues that I have about how it's of the issues that I have about how it's being applied where it's being applied being applied where it's being applied being applied where it's being applied the experimentation of it and who the experimentation of it and who the experimentation of it and who they're experimenting on and and if you they're experimenting on and and if you they're experimenting on and and if you look at some of the larger more look at some of the larger more look at some of the larger more informative posts on informative posts on informative posts on LinkedIn there's a little thing LinkedIn there's a little thing LinkedIn there's a little thing underneath that this ISS underneath that this ISS underneath that this ISS takeaways and it's going to summarize takeaways and it's going to summarize takeaways and it's going to summarize that entire thing for you and I'm like that entire thing for you and I'm like that entire thing for you and I'm like well I didn't ask for the cliff notes well I didn't ask for the cliff notes well I didn't ask for the cliff notes version oh is that a LinkedIn feature version oh is that a LinkedIn feature version oh is that a LinkedIn feature form an opinion or perspective I saw form an opinion or perspective I saw form an opinion or perspective I saw that yeah I haven't seen that oh so that yeah I haven't seen that oh so that yeah I haven't seen that oh so LinkedIn is doing running like a LinkedIn is doing running like a LinkedIn is doing running like a generative AI on your post to summarize

generative AI on your post to summarize generative AI on your post to summarize it for people yeah yeah I think that's it for people yeah yeah I think that's it for people yeah yeah I think that's really dangerous I mean yeah it really dangerous I mean yeah it really dangerous I mean yeah it is I I I wouldn't want to be is I I I wouldn't want to be is I I I wouldn't want to be misrepresent by LinkedIn you know I have misrepresent by LinkedIn you know I have misrepresent by LinkedIn you know I have a public Persona that I want to control a public Persona that I want to control a public Persona that I want to control I want people to know me um with my full I want people to know me um with my full I want people to know me um with my full conscious awareness of what is out there conscious awareness of what is out there conscious awareness of what is out there and I don't want anything doctoring and and I don't want anything doctoring and and I don't want anything doctoring and interpreting what I said if you want to interpreting what I said if you want to interpreting what I said if you want to know what I said and something you come know what I said and something you come know what I said and something you come and freaking ask me you paid me money and freaking ask me you paid me money and freaking ask me you paid me money you don't pay LinkedIn money you know you don't pay LinkedIn money you know you don't pay LinkedIn money you know you know you know you know you know what I'm saying it's like don't you know what I'm saying it's like don't you know what I'm saying it's like don't go and then LinkedIn don't go messing go and then LinkedIn don't go messing go and then LinkedIn don't go messing with my business don't be messing with with my business don't be messing with with my business don't be messing with me yeah because if you misrepresent me me yeah because if you misrepresent me me yeah because if you misrepresent me and this is going to be a new thing I and this is going to be a new thing I and this is going to be a new thing I bet you a million bucks that's going to bet you a million bucks that's going to bet you a million bucks that's going to start happening is you see these passive start happening is you see these passive start happening is you see these passive generative AI tools misrepresenting generative AI tools misrepresenting generative AI tools misrepresenting people and then people are going to uh people and then people are going to uh people and then people are going to uh sue the platforms for slander and liel sue the platforms for slander and liel sue the platforms for slander and liel well there's bias based into the model well there's bias based into the model well there's bias based into the model built into the model yeah and it could built into the model yeah and it could built into the model yeah and it could be material because we like for instance be material because we like for instance be material because we like for instance with LinkedIn we got we e on LinkedIn um with LinkedIn we got we e on LinkedIn um with LinkedIn we got we e on LinkedIn um for professional reason this isn't for for professional reason this isn't for for professional reason this isn't for we can get on and say a bunch of we can get on and say a bunch of we can get on and say a bunch of nonsense about politics and you know you nonsense about politics and you know you nonsense about politics and you know you know Taylor Swift and crap like that for know Taylor Swift and crap like that for know Taylor Swift and crap like that for livelihood do you know what I'm saying livelihood do you know what I'm saying livelihood do you know what I'm saying yeah I don't think the you know and

yeah I don't think the you know and yeah I don't think the you know and that's the thing that scares the crap that's the thing that scares the crap that's the thing that scares the crap out of me I mean I do go to these I talk out of me I mean I do go to these I talk out of me I mean I do go to these I talk to all these companies that that are in to all these companies that that are in to all these companies that that are in the Gen game the lack of thought in the the Gen game the lack of thought in the the Gen game the lack of thought in the regards that you know uh in terms of regards that you know uh in terms of regards that you know uh in terms of responsible safe responsible safe responsible safe AI is astonishing and a lot of these are AI is astonishing and a lot of these are AI is astonishing and a lot of these are still evolving because a lot of them still evolving because a lot of them still evolving because a lot of them have not they have not thought forward have not they have not thought forward have not they have not thought forward in terms of what are those responsible in terms of what are those responsible in terms of what are those responsible and ethical principles we need to adhere and ethical principles we need to adhere and ethical principles we need to adhere to it's literally Innovation first who to it's literally Innovation first who to it's literally Innovation first who cares about all this stuff and harm cares about all this stuff and harm cares about all this stuff and harm we'll figure out the harm part later we'll figure out the harm part later we'll figure out the harm part later we're a trillion dollar company so we're a trillion dollar company so we're a trillion dollar company so whatever they can sue us and right whatever they can sue us and right whatever they can sue us and right whatever growth at any cost right yeah whatever growth at any cost right yeah whatever growth at any cost right yeah we we'll let the shareholders pay for it we we'll let the shareholders pay for it we we'll let the shareholders pay for it you know what I'm saying yeah one thing you know what I'm saying yeah one thing you know what I'm saying yeah one thing also I've seen is you know people there also I've seen is you know people there also I've seen is you know people there was a whole trend for it's kind of like was a whole trend for it's kind of like was a whole trend for it's kind of like you're saying with LinkedIn Bill like you're saying with LinkedIn Bill like you're saying with LinkedIn Bill like the danger is AI kind of waters down the danger is AI kind of waters down the danger is AI kind of waters down everyone's language and genericize it everyone's language and genericize it everyone's language and genericize it and then like you get your profile and then like you get your profile and then like you get your profile picture through Microsoft designer and picture through Microsoft designer and picture through Microsoft designer and everyone ends up looking basically like everyone ends up looking basically like everyone ends up looking basically like the same cartoon you know so it's just a the same cartoon you know so it's just a the same cartoon you know so it's just a bunch of similar carto tun saying bunch of similar carto tun saying bunch of similar carto tun saying similar things you know because it's all similar things you know because it's all similar things you know because it's all going through the same AI engine that's going through the same AI engine that's going through the same AI engine that's kind of a worst case scenario I guess kind of a worst case scenario I guess kind of a worst case scenario I guess yeah sort of is a it's a sort of a muted yeah sort of is a it's a sort of a muted yeah sort of is a it's a sort of a muted sameness of things so I think strip mall sameness of things so I think strip mall sameness of things so I think strip mall of chain stores you know yeah totally of chain stores you know yeah totally of chain stores you know yeah totally you see in every city yeah right all

you see in every city yeah right all you see in every city yeah right all right well I think that's that's right well I think that's that's right well I think that's that's important that we do original content important that we do original content important that we do original content right because it'll will definitely right because it'll will definitely right because it'll will definitely stick out and stand out from kind of stick out and stand out from kind of stick out and stand out from kind of that samess the Sea of sameness I would that samess the Sea of sameness I would that samess the Sea of sameness I would say yeah well there's probably I think say yeah well there's probably I think say yeah well there's probably I think there's I mean I'd read that there's you there's I mean I'd read that there's you there's I mean I'd read that there's you know different like propaganda know different like propaganda know different like propaganda newspapers and stuff and news sources newspapers and stuff and news sources newspapers and stuff and news sources being generated on the web that are being generated on the web that are being generated on the web that are totally AI generated to you know push totally AI generated to you know push totally AI generated to you know push out stories and then they get picked up out stories and then they get picked up out stories and then they get picked up by social media and quoted and requoted by social media and quoted and requoted by social media and quoted and requoted and so this the whole area of and so this the whole area of and so this the whole area of disinformation is just it's uh you know disinformation is just it's uh you know disinformation is just it's uh you know very ripe right now for for these very ripe right now for for these very ripe right now for for these engines to sort of just generate content engines to sort of just generate content engines to sort of just generate content that sort of looks somewhat accurate and that sort of looks somewhat accurate and that sort of looks somewhat accurate and it gets picked up so that's that's and it gets picked up so that's that's and it gets picked up so that's that's and there's no transparency that's I mean to there's no transparency that's I mean to there's no transparency that's I mean to your to your idea of ethics and best your to your idea of ethics and best your to your idea of ethics and best practices there's no regulations on practices there's no regulations on practices there's no regulations on transparency of where this what's AI transparency of where this what's AI transparency of where this what's AI generated and stuff I know when I upload generated and stuff I know when I upload generated and stuff I know when I upload videos to YouTube it asks me like is videos to YouTube it asks me like is videos to YouTube it asks me like is this AI generated and I can either click this AI generated and I can either click this AI generated and I can either click the box or not but I don't know yeah the box or not but I don't know yeah the box or not but I don't know yeah it's like a pinky swear sure sure of it's like a pinky swear sure sure of it's like a pinky swear sure sure of course I did it of course I did it of course I did it of course yeah but you know I mean yeah course yeah but you know I mean yeah course yeah but you know I mean yeah there there's no there's no I mean so there there's no there's no I mean so there there's no there's no I mean so again we're back to the trust piece of again we're back to the trust piece of again we're back to the trust piece of it for me there's you know there's that it for me there's you know there's that it for me there's you know there's that that trust piece and and I don't have that trust piece and and I don't have that trust piece and and I don't have any proof that you know there's no any proof that you know there's no any proof that you know there's no auditability of that content that I'm auditability of that content that I'm auditability of that content that I'm looking at to say that yes this actually looking at to say that yes this actually looking at to say that yes this actually came from this how was it actually came from this how was it actually came from this how was it actually generated who generated it when was it

generated who generated it when was it generated who generated it when was it generated how was it manipulated or generated how was it manipulated or generated how was it manipulated or edited and uh yeah now that's all on the edited and uh yeah now that's all on the edited and uh yeah now that's all on the you know I think on the on the you know I think on the on the you know I think on the on the commercial side like we were talking commercial side like we were talking commercial side like we were talking originally about I love the the use of originally about I love the the use of originally about I love the the use of AI for like anomaly detection and other AI for like anomaly detection and other AI for like anomaly detection and other optimizations in the warehouse and optimizations in the warehouse and optimizations in the warehouse and Manufacturing and inspecting quality and Manufacturing and inspecting quality and Manufacturing and inspecting quality and abolutely you know route route abolutely you know route route abolutely you know route route optimization I mean there's so many optimization I mean there's so many optimization I mean there's so many things and so I don't want people to things and so I don't want people to things and so I don't want people to take away that you know AI is take away that you know AI is take away that you know AI is necessarily bad what we're talking about necessarily bad what we're talking about necessarily bad what we're talking about the applicability of this generative AI the applicability of this generative AI the applicability of this generative AI in more of the language space facing out in more of the language space facing out in more of the language space facing out that can be really kind of a mess and that can be really kind of a mess and that can be really kind of a mess and unfortunately it's getting a lot of the unfortunately it's getting a lot of the unfortunately it's getting a lot of the press but there's a lot of other stuff press but there's a lot of other stuff press but there's a lot of other stuff around AI probably 90% of the that's around AI probably 90% of the that's around AI probably 90% of the that's actually pretty pretty yeah and that I actually pretty pretty yeah and that I actually pretty pretty yeah and that I think that that's the tragedy of the think that that's the tragedy of the think that that's the tragedy of the approp you know the misappropriation approp you know the misappropriation approp you know the misappropriation really of the term AI you're absolutely really of the term AI you're absolutely really of the term AI you're absolutely right we need to be specific let's talk right we need to be specific let's talk right we need to be specific let's talk about the problem at hand which is about the problem at hand which is about the problem at hand which is generative AI don't mix it with all the generative AI don't mix it with all the generative AI don't mix it with all the you know deep learning you know you know deep learning you know you know deep learning you know classical stuff people working for for a classical stuff people working for for a classical stuff people working for for a long time to embedded into their long time to embedded into their long time to embedded into their applications to augment things right and applications to augment things right and applications to augment things right and that's been the primary role of AI in that's been the primary role of AI in that's been the primary role of AI in general but you know here's a here's a I general but you know here's a here's a I general but you know here's a here's a I just want to go back to one of the just want to go back to one of the just want to go back to one of the things that we were talking about things that we were talking about things that we were talking about earlier about you know this you know earlier about you know this you know earlier about you know this you know mass production of same stuff you know mass production of same stuff you know mass production of same stuff you know so I I used to work with the the so I I used to work with the the so I I used to work with the the early.com companies a lot of search early.com companies a lot of search early.com companies a lot of search engine companies so I saw how all the

engine companies so I saw how all the engine companies so I saw how all the dirty laundry in the back okay and you dirty laundry in the back okay and you dirty laundry in the back okay and you get a glimpse at of humanity and let's get a glimpse at of humanity and let's get a glimpse at of humanity and let's put this put this put this uh the stuff that actually is going to uh the stuff that actually is going to uh the stuff that actually is going to make money is a lot of really dirty make money is a lot of really dirty make money is a lot of really dirty stuff it's not Bible stuff it's not Bible stuff it's not Bible quotes don't count on that and it's quotes don't count on that and it's quotes don't count on that and it's already starting to happen if you go already starting to happen if you go already starting to happen if you go you're getting you're getting pushed a you're getting you're getting pushed a you're getting you're getting pushed a lot of synthetic like suggestive stuff lot of synthetic like suggestive stuff lot of synthetic like suggestive stuff now on YouTube and other now on YouTube and other now on YouTube and other platforms and that is what makes money platforms and that is what makes money platforms and that is what makes money because that is what people are because that is what people are because that is what people are attracted to I I mean yeah and and think attracted to I I mean yeah and and think attracted to I I mean yeah and and think about that for a moment when you give about that for a moment when you give about that for a moment when you give everybody the ability to you know create everybody the ability to you know create everybody the ability to you know create massive amounts of defecation content massive amounts of defecation content massive amounts of defecation content defecation what defecation what defecation what is you know there are you know regular is you know there are you know regular is you know there are you know regular pattern that we''re seeing through pattern that we''re seeing through pattern that we''re seeing through history yeah of unun with that we now history yeah of unun with that we now history yeah of unun with that we now have the tools to measure the engagement have the tools to measure the engagement have the tools to measure the engagement of that content and reinforce to create of that content and reinforce to create of that content and reinforce to create more of that content and it's a spiral more of that content and it's a spiral more of that content and it's a spiral downward uh culturally downward uh culturally downward uh culturally unforunately yeah and you know unforunately yeah and you know unforunately yeah and you know um it's not knowledge enhancing stuff um it's not knowledge enhancing stuff um it's not knowledge enhancing stuff it's not productivity related stuff it it's not productivity related stuff it it's not productivity related stuff it not that arguably goes completely the not that arguably goes completely the not that arguably goes completely the opposite opposite opposite direction um and and that's a sad direction um and and that's a sad direction um and and that's a sad reality and but then that's that's a reality and but then that's that's a reality and but then that's that's a dynamic and a risk that um you know

dynamic and a risk that um you know dynamic and a risk that um you know people should factor in and they haven't people should factor in and they haven't people should factor in and they haven't done that yet right and I've had I had a done that yet right and I've had I had a done that yet right and I've had I had a couple couple couple conversations um with actually some of conversations um with actually some of conversations um with actually some of the big companies about that and um they the big companies about that and um they the big companies about that and um they will not deny yes that is how a lot of will not deny yes that is how a lot of will not deny yes that is how a lot of the stuff whether it's the internet or the stuff whether it's the internet or the stuff whether it's the internet or Ecommerce or mobile you know like online Ecommerce or mobile you know like online Ecommerce or mobile you know like online payments crypto was what kind of fueled payments crypto was what kind of fueled payments crypto was what kind of fueled a lot of these things um in the a lot of these things um in the a lot of these things um in the beginning and beginning and beginning and so you know I think on the risk side so you know I think on the risk side so you know I think on the risk side those are things that we have to manage those are things that we have to manage those are things that we have to manage but then making things the thing that I but then making things the thing that I but then making things the thing that I think a lot of folks are realizing we think a lot of folks are realizing we think a lot of folks are realizing we have to go narrow with these solution have to go narrow with these solution have to go narrow with these solution and you have to manage the risk and you have to manage the risk and you have to manage the risk otherwise you cannot Channel value otherwise you cannot Channel value otherwise you cannot Channel value through these through these through these Technologies um and be educated about it Technologies um and be educated about it Technologies um and be educated about it if you ignore the risk side you cannot if you ignore the risk side you cannot if you ignore the risk side you cannot you cannot get value because it will you cannot get value because it will you cannot get value because it will just corrupt everything along the way just corrupt everything along the way just corrupt everything along the way and so again best practice right um and and so again best practice right um and and so again best practice right um and we've been saying that from the very we've been saying that from the very we've been saying that from the very beginning yeah so looked like we had Rob beginning yeah so looked like we had Rob beginning yeah so looked like we had Rob on for about five minutes he was driving on for about five minutes he was driving on for about five minutes he was driving and then he might oh really yeah he's and then he might oh really yeah he's and then he might oh really yeah he's he's heading out he's heading out San he's heading out he's heading out San he's heading out he's heading out San Antonio way oh oh wow he's spending Antonio way oh oh wow he's spending Antonio way oh oh wow he's spending Texas yeah long time all right I'm about Texas yeah long time all right I'm about Texas yeah long time all right I'm about to I'm about to pull into a bies oh to I'm about to pull into a bies oh to I'm about to pull into a bies oh there's Rob Rob is still with us where there's Rob Rob is still with us where there's Rob Rob is still with us where is he we're gonna drop we're going to is he we're gonna drop we're going to is he we're gonna drop we're going to drop some Texas love on our audience

drop some Texas love on our audience drop some Texas love on our audience disembodied voice of Rob disembodied voice of Rob disembodied voice of Rob exactly de exactly de exactly de exmachina it is exmachina that's exmachina it is exmachina that's exmachina it is exmachina that's right oh my God oh my God how's it going right oh my God oh my God how's it going right oh my God oh my God how's it going how's it going it's good just yeah just how's it going it's good just yeah just how's it going it's good just yeah just driving from Houston to San Antonio so driving from Houston to San Antonio so driving from Houston to San Antonio so we're Luling almost there almost there we're Luling almost there almost there we're Luling almost there almost there we're gonna stop at bies because you we're gonna stop at bies because you we're gonna stop at bies because you have to do that when you're in Texas you have to do that when you're in Texas you have to do that when you're in Texas you know you must do that that is mandatory know you must do that that is mandatory know you must do that that is mandatory it is mandatory it's the coolest thing it is mandatory it's the coolest thing it is mandatory it's the coolest thing ever you know you stuck in there for ever you know you stuck in there for ever you know you stuck in there for like two to three hours easy I'll have like two to three hours easy I'll have like two to three hours easy I'll have to look that up because I never been to to look that up because I never been to to look that up because I never been to a buckes but I don't hold it against me a buckes but I don't hold it against me a buckes but I don't hold it against me think about the ultimate biggest gas think about the ultimate biggest gas think about the ultimate biggest gas station in the world station in the world station in the world okay thing and then almost a small kind okay thing and then almost a small kind okay thing and then almost a small kind of Walmart of Walmart of Walmart inside the building you know that you inside the building you know that you inside the building you know that you would nor think little convenience store would nor think little convenience store would nor think little convenience store and then it's all cool Texas stuff to and then it's all cool Texas stuff to and then it's all cool Texas stuff to buy okay like you know you might need a buy okay like you know you might need a buy okay like you know you might need a Texas chery board for instance I don't Texas chery board for instance I don't Texas chery board for instance I don't know all right we're going in we're know all right we're going in we're know all right we're going in we're going massive rhinestone belt buckle going massive rhinestone belt buckle going massive rhinestone belt buckle yeah belck or just flat out food because yeah belck or just flat out food because yeah belck or just flat out food because I'm they they're they're in there I'm they they're they're in there I'm they they're they're in there barbecuing briskets pork you name it barbecuing briskets pork you name it barbecuing briskets pork you name it really yes Rob's taking us taking us into the

yes Rob's taking us taking us into the bies what else is happening with iot bies what else is happening with iot bies what else is happening with iot this week uh well we talked about this week uh well we talked about this week uh well we talked about embedded worlds happening I haven't seen embedded worlds happening I haven't seen embedded worlds happening I haven't seen any a lot of news yet out of embedded any a lot of news yet out of embedded any a lot of news yet out of embedded world but uh it should be quite a show I world but uh it should be quite a show I world but uh it should be quite a show I think especially on the heels of the think especially on the heels of the think especially on the heels of the Nvidia GTC conference there seems to be Nvidia GTC conference there seems to be Nvidia GTC conference there seems to be a Resurgence of these inperson events um a Resurgence of these inperson events um a Resurgence of these inperson events um yeah so we'll see what happens yeah so we'll see what happens yeah so we'll see what happens there I um so I'm working I'm one of 16 there I um so I'm working I'm one of 16 there I um so I'm working I'm one of 16 Americans on a iot Advisory Board uh for Americans on a iot Advisory Board uh for Americans on a iot Advisory Board uh for the Department of Commerce and our the Department of Commerce and our the Department of Commerce and our sub our um Advisory Board uh report will sub our um Advisory Board uh report will sub our um Advisory Board uh report will be out I think at the end of May and the be out I think at the end of May and the be out I think at the end of May and the beginning of June so I'll share that on beginning of June so I'll share that on beginning of June so I'll share that on LinkedIn when it comes out so cool oh LinkedIn when it comes out so cool oh LinkedIn when it comes out so cool oh that be is that the same one is that the that be is that the same one is that the that be is that the same one is that the same one that Vinson's on yeah okay Bon same one that Vinson's on yeah okay Bon same one that Vinson's on yeah okay Bon Chan y nice yep y for it'll be out but I Chan y nice yep y for it'll be out but I Chan y nice yep y for it'll be out but I I'll release it to everyone when it I'll release it to everyone when it I'll release it to everyone when it comes out because it'll be comes out because it'll be comes out because it'll be public be great wow that's awesome public be great wow that's awesome public be great wow that's awesome that's awesome looks like anything you that's awesome looks like anything you that's awesome looks like anything you can share or you just gonna oh I'm sorry can share or you just gonna oh I'm sorry can share or you just gonna oh I'm sorry um yeah there's some good stuff in there um yeah there's some good stuff in there um yeah there's some good stuff in there around privacy uh I mean it's a lot around privacy uh I mean it's a lot around privacy uh I mean it's a lot there's a lot of stuff in the report there's a lot of stuff in the report there's a lot of stuff in the report right so you know because we're supposed right so you know because we're supposed right so you know because we're supposed to look at a lot of different Industries to look at a lot of different Industries to look at a lot of different Industries different crosssections so there's kind different crosssections so there's kind different crosssections so there's kind of vertical and horizontal stuff I work of vertical and horizontal stuff I work of vertical and horizontal stuff I work more in the horizontal privacy stuff so more in the horizontal privacy stuff so more in the horizontal privacy stuff so there are some recommendations in there there are some recommendations in there there are some recommendations in there around cars and transparency around around cars and transparency around

around cars and transparency around privacy for car privacy for car privacy for car we're advocating for a universal opt out we're advocating for a universal opt out we're advocating for a universal opt out uh for data sale from iot devices um as uh for data sale from iot devices um as uh for data sale from iot devices um as well as possibly having some type of well as possibly having some type of well as possibly having some type of privacy notice on a sticker for cars to privacy notice on a sticker for cars to privacy notice on a sticker for cars to get sold um either you new or used get sold um either you new or used get sold um either you new or used actually we have some um uh there's some actually we have some um uh there's some actually we have some um uh there's some lobbyist groups that are trying to lobbyist groups that are trying to lobbyist groups that are trying to squash that that's not going to work uh squash that that's not going to work uh squash that that's not going to work uh so that'll be in a report as well uh but so that'll be in a report as well uh but so that'll be in a report as well uh but yeah there's quite a few things yeah there's quite a few things yeah there's quite a few things obviously we're saying hey we need a obviously we're saying hey we need a obviously we're saying hey we need a federal Privacy Law yeah and we need to federal Privacy Law yeah and we need to federal Privacy Law yeah and we need to make sure that is make sure iot is in make sure that is make sure iot is in make sure that is make sure iot is in that as well did you so did you address that as well did you so did you address that as well did you so did you address that whole issue that we have with you that whole issue that we have with you that whole issue that we have with you know that don't sell my data uh toggle know that don't sell my data uh toggle know that don't sell my data uh toggle opt in opt out toggle how they make it opt in opt out toggle how they make it opt in opt out toggle how they make it super confusing so that you don't know super confusing so that you don't know super confusing so that you don't know whether or not no no well you didn't put whether or not no no well you didn't put whether or not no no well you didn't put anything no we didn't put anything in anything no we didn't put anything in anything no we didn't put anything in there about that it should be all op you there about that it should be all op you there about that it should be all op you know it should be you're it should be op know it should be you're it should be op know it should be you're it should be op in right it should be opt in instead of in right it should be opt in instead of in right it should be opt in instead of opting out yeah default opted out and opting out yeah default opted out and opting out yeah default opted out and then they have to they have to prompt then they have to they have to prompt then they have to they have to prompt you to opt into anything yeah that you to opt into anything yeah that you to opt into anything yeah that forces people to read stuff right but forces people to read stuff right but forces people to read stuff right but then also forces forces the um the then also forces forces the um the then also forces forces the um the service provider or whoever yeah um to service provider or whoever yeah um to service provider or whoever yeah um to explain the value yeah of exchanging explain the value yeah of exchanging explain the value yeah of exchanging your information yeah the other way your information yeah the other way your information yeah the other way doesn't make any fre

doesn't make any fre doesn't make any fre that would that would kill their that would that would kill their that would that would kill their business I mean I commented on something business I mean I commented on something business I mean I commented on something like that well so you know you know I'm like that well so you know you know I'm like that well so you know you know I'm doing the whole smart home thing and and doing the whole smart home thing and and doing the whole smart home thing and and they were gonna they were like okay well they were gonna they were like okay well they were gonna they were like okay well we're gonna run Roku and I'm like no we're gonna run Roku and I'm like no we're gonna run Roku and I'm like no you're not no not Roku had over 300 you're not no not Roku had over 300 you're not no not Roku had over 300 third party that they were sharing data third party that they were sharing data third party that they were sharing data and they're like this if you want to opt and they're like this if you want to opt and they're like this if you want to opt out now I got to go through each one of out now I got to go through each one of out now I got to go through each one of them to opt out M and in some of them I them to opt out M and in some of them I them to opt out M and in some of them I couldn't opt out and I was like that couldn't opt out and I was like that couldn't opt out and I was like that ain't happening I'm I'm done with this ain't happening I'm I'm done with this ain't happening I'm I'm done with this we're going to figure out another wave we're going to figure out another wave we're going to figure out another wave to do uh video distribution and to do uh video distribution and to do uh video distribution and everything because I'm not I don't trust everything because I'm not I don't trust everything because I'm not I don't trust you don't even know 300 people like that you don't even know 300 people like that you don't even know 300 people like that right sure yeah right that's why it's right sure yeah right that's why it's right sure yeah right that's why it's important the universal opt out is very important the universal opt out is very important the universal opt out is very important all of us would like to see important all of us would like to see important all of us would like to see the opt in but that it's so hard to get the opt in but that it's so hard to get the opt in but that it's so hard to get that I mean so many people come out the that I mean so many people come out the that I mean so many people come out the woodwork even you know there's an brand woodwork even you know there's an brand woodwork even you know there's an brand new proposal for privacy regulation in new proposal for privacy regulation in new proposal for privacy regulation in the US so I don't know how it's going to the US so I don't know how it's going to the US so I don't know how it's going to work but even there it's like that's work but even there it's like that's work but even there it's like that's almost like the third wheel the third almost like the third wheel the third almost like the third wheel the third rail asking for but I mean we can we'll rail asking for but I mean we can we'll rail asking for but I mean we can we'll get there but there are so many gaps and get there but there are so many gaps and get there but there are so many gaps and holes already in privacy we're just holes already in privacy we're just holes already in privacy we're just trying to build a better Foundation that trying to build a better Foundation that trying to build a better Foundation that we can build on so yeah I think that'd we can build on so yeah I think that'd we can build on so yeah I think that'd be good well you heard this the news be good well you heard this the news be good well you heard this the news this week from uh Google that the Chrome this week from uh Google that the Chrome this week from uh Google that the Chrome browser incognito mode actually you were browser incognito mode actually you were browser incognito mode actually you were actually not Incognito when you were in actually not Incognito when you were in actually not Incognito when you were in incognito mode and I think Google uh had

incognito mode and I think Google uh had incognito mode and I think Google uh had to sort of fess up to that so sometimes to sort of fess up to that so sometimes to sort of fess up to that so sometimes not a while back that was a while back not a while back that was a while back not a while back that was a while back right I read about it like this past right I read about it like this past right I read about it like this past well yeah they right so two months ago well yeah they right so two months ago well yeah they right so two months ago well they the the settlements have well they the the settlements have well they the the settlements have become become become public so like the actions they have to public so like the actions they have to public so like the actions they have to take like they had to delete a lot of take like they had to delete a lot of take like they had to delete a lot of data there's a lot of money they had to data there's a lot of money they had to data there's a lot of money they had to pay and different things like that so pay and different things like that so pay and different things like that so that I think that part of that story that I think that part of that story that I think that part of that story came out recently yes exactly yes so came out recently yes exactly yes so came out recently yes exactly yes so yeah no there's a lot of work to do yeah no there's a lot of work to do yeah no there's a lot of work to do there for sure especially in the US I there for sure especially in the US I there for sure especially in the US I think maybe maybe Europe's a little think maybe maybe Europe's a little think maybe maybe Europe's a little ahead Debbie I don't know do you think ahead Debbie I don't know do you think ahead Debbie I don't know do you think the EU is uh kind of showing the way the EU is uh kind of showing the way the EU is uh kind of showing the way here in terms of data privacy and sort here in terms of data privacy and sort here in terms of data privacy and sort of little more Universal the EU is about of little more Universal the EU is about of little more Universal the EU is about 25 plus years ahead of us 25 plus years ahead of us 25 plus years ahead of us yes privacy yeah so a generation yes privacy yeah so a generation yes privacy yeah so a generation basically an entire generation they're basically an entire generation they're basically an entire generation they're all paranoid about each other so yeah so all paranoid about each other so yeah so all paranoid about each other so yeah so they're they're way way far ahead so they're they're way way far ahead so they're they're way way far ahead so they had a data directive that came out they had a data directive that came out they had a data directive that came out in 1995 in the EU um and so we haven't in 1995 in the EU um and so we haven't in 1995 in the EU um and so we haven't even gotten there yet wow where they even gotten there yet wow where they even gotten there yet wow where they were in 1995 so yeah that's yeah we got were in 1995 so yeah that's yeah we got were in 1995 so yeah that's yeah we got we got a while to go uh but you know all we got a while to go uh but you know all we got a while to go uh but you know all these efforts you know sometimes it's these efforts you know sometimes it's these efforts you know sometimes it's baby steps so for us true you know it's baby steps so for us true you know it's baby steps so for us true you know it's sort of like us trying to pave a road sort of like us trying to pave a road sort of like us trying to pave a road that is not yet paved right so we had to that is not yet paved right so we had to that is not yet paved right so we had to knock those Hill those down and sounds

knock those Hill those down and sounds knock those Hill those down and sounds like you're still sort of making the like you're still sort of making the like you're still sort of making the road the dirt ro we're making the road road the dirt ro we're making the road road the dirt ro we're making the road we're making a road moving the boulders we're making a road moving the boulders we're making a road moving the boulders out of the road and trying to PVE a road out of the road and trying to PVE a road out of the road and trying to PVE a road that's try you know but we we we've kind that's try you know but we we we've kind that's try you know but we we we've kind of invented the surveillance economy of invented the surveillance economy of invented the surveillance economy right and it's totally right and it's totally right and it's totally anti- um you know opt in it's all it's anti- um you know opt in it's all it's anti- um you know opt in it's all it's default you are opted in yeah well the default you are opted in yeah well the default you are opted in yeah well the advertis based internet the internet is advertis based internet the internet is advertis based internet the internet is Advertising based well think about it if Advertising based well think about it if Advertising based well think about it if you're in digital marketing that is your you're in digital marketing that is your you're in digital marketing that is your currency that's your economy and you currency that's your economy and you currency that's your economy and you know uh privacy policies and P privacy know uh privacy policies and P privacy know uh privacy policies and P privacy rights should be Citizens First not you rights should be Citizens First not you rights should be Citizens First not you know uh digital marketers first right I know uh digital marketers first right I know uh digital marketers first right I mean I I think that's just the mean I I think that's just the mean I I think that's just the perspective I want to put out there and perspective I want to put out there and perspective I want to put out there and to go weak on that I think any to go weak on that I think any to go weak on that I think any government agency or you know government government agency or you know government government agency or you know government or uh regulator is really not looking or uh regulator is really not looking or uh regulator is really not looking after the citizen right right I mean after the citizen right right I mean after the citizen right right I mean yeah okay sure it's going to help it's yeah okay sure it's going to help it's yeah okay sure it's going to help it's going to hurt digital markets but you going to hurt digital markets but you going to hurt digital markets but you know you can adapt maybe actually it'll know you can adapt maybe actually it'll know you can adapt maybe actually it'll create more human jobs because it'll create more human jobs because it'll create more human jobs because it'll take all this massive automation that's take all this massive automation that's take all this massive automation that's been happening that sits on top of this been happening that sits on top of this been happening that sits on top of this massive you know public but UNC massive you know public but UNC massive you know public but UNC consented um you know Corpus of data consented um you know Corpus of data consented um you know Corpus of data about people it'll it will make that about people it'll it will make that about people it'll it will make that illegal then people actually have to illegal then people actually have to illegal then people actually have to work really hard to get the message out

work really hard to get the message out work really hard to get the message out right I think that'll create that'll right I think that'll create that'll right I think that'll create that'll create jobs you got to think about it create jobs you got to think about it create jobs you got to think about it like that unfortunately I think the like that unfortunately I think the like that unfortunately I think the consumer Tech world is addicted to free consumer Tech world is addicted to free consumer Tech world is addicted to free and uh because of the ad subsidies and and uh because of the ad subsidies and and uh because of the ad subsidies and the data selling and you know the whole the data selling and you know the whole the data selling and you know the whole soil and green you are the product soil and green you are the product soil and green you are the product approach for Consumer on the commercial approach for Consumer on the commercial approach for Consumer on the commercial side I think people are used to paying side I think people are used to paying side I think people are used to paying and pay pay appropriately but the and pay pay appropriately but the and pay pay appropriately but the consumer one that's going to be like consumer one that's going to be like consumer one that's going to be like Debbie said it's going to take a while Debbie said it's going to take a while Debbie said it's going to take a while to sort of Bend things and I think more to sort of Bend things and I think more to sort of Bend things and I think more the again gets back to education the the again gets back to education the the again gets back to education the more the people are educated about the more the people are educated about the more the people are educated about the the privacy and their data and how the privacy and their data and how the privacy and their data and how they're being monetized the more they'll they're being monetized the more they'll they're being monetized the more they'll insist on these types of you know opt-in insist on these types of you know opt-in insist on these types of you know opt-in mechanisms but there's a lot of money at mechanisms but there's a lot of money at mechanisms but there's a lot of money at stake so I can imagine there's a lot of stake so I can imagine there's a lot of stake so I can imagine there's a lot of lobbying oh yeah yeah yeah me kind of lobbying oh yeah yeah yeah me kind of lobbying oh yeah yeah yeah me kind of how we run our business so I don't know how we run our business so I don't know how we run our business so I don't know I don't know do you and Debbie maybe you I don't know do you and Debbie maybe you I don't know do you and Debbie maybe you have have seen this because I'm curious have have seen this because I'm curious have have seen this because I'm curious j z does not seem to care about that end j z does not seem to care about that end j z does not seem to care about that end of the game they're like you whatever it of the game they're like you whatever it of the game they're like you whatever it is accept except except and I just gave is accept except except and I just gave is accept except except and I just gave away all of my data yeah I think you away all of my data yeah I think you away all of my data yeah I think you know Jen I think that's know Jen I think that's know Jen I think that's true I think that's true and a lot of it true I think that's true and a lot of it true I think that's true and a lot of it is like oh well let me have a cotton is like oh well let me have a cotton is like oh well let me have a cotton candy now and then you know I don't care candy now and then you know I don't care candy now and then you know I don't care if my teeth are going to fall out in six if my teeth are going to fall out in six if my teeth are going to fall out in six months so you know the the harm is down months so you know the the harm is down months so you know the the harm is down the road and I think it's it's theine the road and I think it's it's theine the road and I think it's it's theine that way right to to get you to give up that way right to to get you to give up that way right to to get you to give up something like in the moment in the the something like in the moment in the the something like in the moment in the the Heat of the Moment that you may regret Heat of the Moment that you may regret Heat of the Moment that you may regret later but then it's too late so yeah later but then it's too late so yeah later but then it's too late so yeah it's too late you can't un you you

it's too late you can't un you you it's too late you can't un you you cannot put the toothpaste back in the cannot put the toothpaste back in the cannot put the toothpaste back in the tube yeah yeah yeah well you know it's tube yeah yeah yeah well you know it's tube yeah yeah yeah well you know it's it's a it's a time thing from from my it's a it's a time thing from from my it's a it's a time thing from from my perspective so you have you have yeah perspective so you have you have yeah perspective so you have you have yeah you have this generation now that is you have this generation now that is you have this generation now that is actually cognizant and wanting to actually cognizant and wanting to actually cognizant and wanting to protect personal data as well as protect personal data as well as protect personal data as well as everything else everything that I'm everything else everything that I'm everything else everything that I'm doing it's mine but then you have the doing it's mine but then you have the doing it's mine but then you have the generation behind us that's saying you generation behind us that's saying you generation behind us that's saying you know what I really don't care they know what I really don't care they know what I really don't care they already know everything already know everything already know everything they already know everything about me they already know everything about me they already know everything about me anyway so I don't care to a certain anyway so I don't care to a certain anyway so I don't care to a certain extent they have a they have a point but extent they have a they have a point but extent they have a they have a point but there's also Boomers you the whole there's also Boomers you the whole there's also Boomers you the whole Boomer folks you know you look on Boomer folks you know you look on Boomer folks you know you look on Facebook and they're sharing all kinds Facebook and they're sharing all kinds Facebook and they're sharing all kinds of stuff and answering all kinds of of stuff and answering all kinds of of stuff and answering all kinds of quizzes about their favorite pets pet quizzes about their favorite pets pet quizzes about their favorite pets pet names and whatever and giving up their names and whatever and giving up their names and whatever and giving up their passwords left and right so and posting passwords left and right so and posting passwords left and right so and posting their grandchildren's pictures I mean their grandchildren's pictures I mean their grandchildren's pictures I mean it's it's kind of it's really sad yeah it's it's kind of it's really sad yeah it's it's kind of it's really sad yeah they they take a selfie and then they they they take a selfie and then they they they take a selfie and then they have the computer in the background with have the computer in the background with have the computer in the background with the password on a sticky the password on a sticky the password on a sticky it's it's uh you know it's pretty it's it's uh you know it's pretty it's it's uh you know it's pretty Insidious out there and it's going to Insidious out there and it's going to Insidious out there and it's going to take it's a generational thing it's take it's a generational thing it's take it's a generational thing it's going to take a long time to keep going to take a long time to keep going to take a long time to keep bending it toward personal privacy and bending it toward personal privacy and bending it toward personal privacy and personal empowerment on on that data but personal empowerment on on that data but personal empowerment on on that data but U it's good start you know ignorance is U it's good start you know ignorance is U it's good start you know ignorance is bliss and someone else's massive profit bliss and someone else's massive profit bliss and someone else's massive profit so that's the other way to look at it so that's the other way to look at it so that's the other way to look at it you know yeah we're we're undeterred so you know yeah we're we're undeterred so you know yeah we're we're undeterred so you know lobbyist don't come for me you you know lobbyist don't come for me you you know lobbyist don't come for me you don't you don't want to you don't want don't you don't want to you don't want don't you don't want to you don't want it it it I'm not for play play I'm not for play play I'm not for play play [Laughter]

[Laughter] [Laughter] so that is the truth there you go there so that is the truth there you go there so that is the truth there you go there you go well you know I mean I think that you go well you know I mean I think that you go well you know I mean I think that just has to be um you know that that's just has to be um you know that that's just has to be um you know that that's the thing it's like the thing it's like the thing it's like awareness and it's awareness there a lot awareness and it's awareness there a lot awareness and it's awareness there a lot of people who just um yeah they just of people who just um yeah they just of people who just um yeah they just they're apologists or right digital they're apologists or right digital they're apologists or right digital marketers right what was that the there marketers right what was that the there marketers right what was that the there used to be all used to be all used to be all these on TV about uh you know the more these on TV about uh you know the more these on TV about uh you know the more you know or whatever maybe there needs you know or whatever maybe there needs you know or whatever maybe there needs to be more education on data privacy to be more education on data privacy to be more education on data privacy that that is sponsored by the the that that is sponsored by the the that that is sponsored by the the federal government or someone to say federal government or someone to say federal government or someone to say yeah educate consumers and say this is yeah educate consumers and say this is yeah educate consumers and say this is your data be careful and yeah we need a your data be careful and yeah we need a your data be careful and yeah we need a Schoolhouse Rock of privacy Schoolhouse Schoolhouse Rock of privacy Schoolhouse Schoolhouse Rock of privacy Schoolhouse Rock there you bring back Schoolhouse Rock there you bring back Schoolhouse Rock there you bring back Schoolhouse Rock yeah I'm for Rock yeah I'm for Rock yeah I'm for that oh my goodness we do need that that oh my goodness we do need that that oh my goodness we do need that yeah but if anything if anything Europe yeah but if anything if anything Europe yeah but if anything if anything Europe is Europe is going to really press the is Europe is going to really press the is Europe is going to really press the in particular us because I mean the half in particular us because I mean the half in particular us because I mean the half of like all this stuff with the dma and of like all this stuff with the dma and of like all this stuff with the dma and what they're doing against big Tech is what they're doing against big Tech is what they're doing against big Tech is related to this right you know they and related to this right you know they and related to this right you know they and and the you and the you and the you know uh gdpr actually gdpr great example know uh gdpr actually gdpr great example know uh gdpr actually gdpr great example yeah it's because they are see what US yeah it's because they are see what US yeah it's because they are see what US tech companies are doing qu tech tech companies are doing qu tech tech companies are doing qu tech companies are doing harvesting Global

companies are doing harvesting Global companies are doing harvesting Global Information about Information about Information about everybody um and so um I don't know and everybody um and so um I don't know and everybody um and so um I don't know and maybe that's a different lens that um us maybe that's a different lens that um us maybe that's a different lens that um us type companies need to well it's kind of type companies need to well it's kind of type companies need to well it's kind of like when California you know when they like when California you know when they like when California you know when they enact like emission standards in enact like emission standards in enact like emission standards in California and that kind of drives it California and that kind of drives it California and that kind of drives it for the whole country you know Europe is for the whole country you know Europe is for the whole country you know Europe is kind of doing that for the rest of the kind of doing that for the rest of the kind of doing that for the rest of the world terms of you know data privacy and world terms of you know data privacy and world terms of you know data privacy and integrity of the yeah they're kind of integrity of the yeah they're kind of integrity of the yeah they're kind of strong arming everybody you know but strong arming everybody you know but strong arming everybody you know but then they're also learning along the way then they're also learning along the way then they're also learning along the way as well they kind of do some goofy as well they kind of do some goofy as well they kind of do some goofy things um well it's very you know the things um well it's very you know the things um well it's very you know the gdpr uh General data protection gdpr uh General data protection gdpr uh General data protection regulation was very regulation was very regulation was very influential uh when that passed and influential uh when that passed and influential uh when that passed and became a law we're starting to see after became a law we're starting to see after became a law we're starting to see after that the many laws kind of they didn't that the many laws kind of they didn't that the many laws kind of they didn't try to do exactly gdpr but they took a try to do exactly gdpr but they took a try to do exactly gdpr but they took a lot of stuff from it so I think that the lot of stuff from it so I think that the lot of stuff from it so I think that the the AI laws and regulations in Europe the AI laws and regulations in Europe the AI laws and regulations in Europe are going to also influence other are going to also influence other are going to also influence other jurisdictions including in the US jurisdictions including in the US jurisdictions including in the US absolutely yeah well you're starting to absolutely yeah well you're starting to absolutely yeah well you're starting to see a lot of that now right I mean uh n see a lot of that now right I mean uh n see a lot of that now right I mean uh n recently put out an recently put out an recently put out an RFI um under assignment of the executive RFI um under assignment of the executive RFI um under assignment of the executive order concerning artificial intelligence order concerning artificial intelligence order concerning artificial intelligence where they're actually looking at where they're actually looking at where they're actually looking at content authentication Providence content authentication Providence content authentication Providence tracking synthetic content labeling uh tracking synthetic content labeling uh tracking synthetic content labeling uh iic and security implications water iic and security implications water iic and security implications water marking all of that good stuff and and marking all of that good stuff and and marking all of that good stuff and and and the fact that they're that they you

and the fact that they're that they you and the fact that they're that they you know Senate as an know Senate as an know Senate as an RFI is ex well it's encouraging on one RFI is ex well it's encouraging on one RFI is ex well it's encouraging on one end but it's like why are we just now end but it's like why are we just now end but it's like why are we just now getting to getting to getting to that just now I mean it took the that just now I mean it took the that just now I mean it took the executive order came out in October of executive order came out in October of executive order came out in October of 2023 23 23 yeah so you know six months 2023 23 23 yeah so you know six months 2023 23 23 yeah so you know six months yeah well it's it's very well crafted as yeah well it's it's very well crafted as yeah well it's it's very well crafted as one of the better doc I've ever seen uh one of the better doc I've ever seen uh one of the better doc I've ever seen uh it mentions privacy 30 some times in it mentions privacy 30 some times in it mentions privacy 30 some times in which I was happy about but but there which I was happy about but but there which I was happy about but but there there are basically the way it's there are basically the way it's there are basically the way it's structured is that every month there'll structured is that every month there'll structured is that every month there'll be some major announcement on the US be some major announcement on the US be some major announcement on the US government up until a couple days before government up until a couple days before government up until a couple days before election day actually uh about what the election day actually uh about what the election day actually uh about what the the government is doing on the government is doing on the government is doing on AI absolutely well in it's Fortune 500 AI absolutely well in it's Fortune 500 AI absolutely well in it's Fortune 500 companies like you said Bill if start companies like you said Bill if start companies like you said Bill if start baking into their rfis you know baking into their rfis you know baking into their rfis you know references to the executive of order and references to the executive of order and references to the executive of order and alignment with those principles that's alignment with those principles that's alignment with those principles that's where the money's coming from at least where the money's coming from at least where the money's coming from at least from the commercial space and so from the commercial space and so from the commercial space and so companies will start to tune their companies will start to tune their companies will start to tune their offerings to be more transparent and offerings to be more transparent and offerings to be more transparent and auditable around Ai auditable around Ai auditable around Ai and that's how it's supposed to work so and that's how it's supposed to work so and that's how it's supposed to work so I mean seeing the standards bodies and I mean seeing the standards bodies and I mean seeing the standards bodies and and like you know the likes do this kind and like you know the likes do this kind and like you know the likes do this kind of thing I think is huge like I think of thing I think is huge like I think of thing I think is huge like I think what just maybe a week or so ago the what just maybe a week or so ago the what just maybe a week or so ago the nitia released the artificial nitia released the artificial nitia released the artificial intelligence accountability policy intelligence accountability policy intelligence accountability policy report um I thought that was like it was report um I thought that was like it was report um I thought that was like it was that's a good document I was I and and I that's a good document I was I and and I that's a good document I was I and and I did not ask it for the outcomes or to did not ask it for the outcomes or to did not ask it for the outcomes or to give me an abbreviated did you get the

give me an abbreviated did you get the give me an abbreviated did you get the AI AI AI generated I got the full thing I generated I got the full thing I generated I got the full thing I the yeah yeah you know yeah man I I've the yeah yeah you know yeah man I I've the yeah yeah you know yeah man I I've seen some summaries dude seen some summaries dude seen some summaries dude and they they just don't G Justice to me and they they just don't G Justice to me and they they just don't G Justice to me thing sometimes you just got to do hard thing sometimes you just got to do hard thing sometimes you just got to do hard work sometimes you got to read the work sometimes you got to read the work sometimes you got to read the book yeah otherwise you gotta you gota book yeah otherwise you gotta you gota book yeah otherwise you gotta you gota wait until somebody tells you who wait until somebody tells you who wait until somebody tells you who actually read the whole thing that actually read the whole thing that actually read the whole thing that you're wrong and by that time think you're wrong and by that time think you're wrong and by that time think about all the damage you did telling about all the damage you did telling about all the damage you did telling other people like other people like other people like nonsense I count on nonsense I count on nonsense I count on that I depend on that it's good business that I depend on that it's good business that I depend on that it's good business yeah well you know that's what Debbie yeah well you know that's what Debbie yeah well you know that's what Debbie does right he does right he does right he read like a bunch of silly people the C read like a bunch of silly people the C read like a bunch of silly people the C notes and then they still don't know notes and then they still don't know notes and then they still don't know what privacy is that's true yeah you what privacy is that's true yeah you what privacy is that's true yeah you have to read have to read have to read The Source documents absolutely yeah The Source documents absolutely yeah The Source documents absolutely yeah yeah you gotta read you gotta you gotta yeah you gotta read you gotta you gotta yeah you gotta read you gotta you gotta educate yourself you gotta watch the educate yourself you gotta watch the educate yourself you gotta watch the whole episode of iot coffee talk not whole episode of iot coffee talk not whole episode of iot coffee talk not just the AI generated that's right not just the AI generated that's right not just the AI generated that's right not just the clips generated Clips yeah not just the clips generated Clips yeah not just the clips generated Clips yeah not just the clips yeah funny oh my God I think we missed yeah funny oh my God I think we missed our little tour of bies by the way I our little tour of bies by the way I our little tour of bies by the way I think Rob did a little video tour so think Rob did a little video tour so think Rob did a little video tour so folks want to rewind on the episode they folks want to rewind on the episode they folks want to rewind on the episode they can see a little walk through of bies can see a little walk through of bies can see a little walk through of bies there and some goodies yeah so it looks there and some goodies yeah so it looks there and some goodies yeah so it looks like we got to wrap this up but hey

like we got to wrap this up but hey like we got to wrap this up but hey first off Debbie it's so good to have first off Debbie it's so good to have first off Debbie it's so good to have you on this is like fun it's really cool you on this is like fun it's really cool you on this is like fun it's really cool having you on did you have a good time having you on did you have a good time having you on did you have a good time yeah oh this is great I'm glad I was yeah oh this is great I'm glad I was yeah oh this is great I'm glad I was able to join today able to join today able to join today awesome yeah we got we got we gotta give awesome yeah we got we got we gotta give awesome yeah we got we got we gotta give Bill a hard time for not showing up at Bill a hard time for not showing up at Bill a hard time for not showing up at the very beginning of the show you take the very beginning of the show you take the very beginning of the show you take the opportunity right now if you want I the opportunity right now if you want I the opportunity right now if you want I I'm sorry I mean you know there there's I'm sorry I mean you know there there's I'm sorry I mean you know there there's he's like he's like James Brown he has he's like he's like James Brown he has he's like he's like James Brown he has come in late he has come in a little bit come in late he has come in a little bit come in late he has come in a little bit late the tension a little bit the late the tension a little bit the late the tension a little bit the dramatic EXA yeah hey and I actually I dramatic EXA yeah hey and I actually I dramatic EXA yeah hey and I actually I actually did not wear a profane t-shirt actually did not wear a profane t-shirt actually did not wear a profane t-shirt this time so oh thank you so that's nice this time so oh thank you so that's nice this time so oh thank you so that's nice we will'll still get the you know the we will'll still get the you know the we will'll still get the you know the explicit rating on our podcast YouTube explicit rating on our podcast YouTube explicit rating on our podcast YouTube tag us yeah of course oh my gosh yeah tag us yeah of course oh my gosh yeah tag us yeah of course oh my gosh yeah we've been we've been we've been but hey everyone Thanks for tuning in but hey everyone Thanks for tuning in but hey everyone Thanks for tuning in remember um we do the show because remember um we do the show because remember um we do the show because number one we love each other we love number one we love each other we love number one we love each other we love you and we just love sharing and uh we you and we just love sharing and uh we you and we just love sharing and uh we also do it for the kids okay um we want also do it for the kids okay um we want also do it for the kids okay um we want to help bridge the digital Equity divide to help bridge the digital Equity divide to help bridge the digital Equity divide and so if you can please sponsor support and so if you can please sponsor support and so if you can please sponsor support elevator kids at www. elevar kids.org elevator kids at www. elevar kids.org elevator kids at www. elevar kids.org and if you're not into charity and if you're not into charity and if you're not into charity remember pick up a t-shirt pick up a remember pick up a t-shirt pick up a remember pick up a t-shirt pick up a hoodie and look good you know you're GNA hoodie and look good you know you're GNA hoodie and look good you know you're GNA look good D you're gonna look very look good D you're gonna look very look good D you're gonna look very educated people are gonna ask you educated people are gonna ask you educated people are gonna ask you questions if you wear that yeah exactly

questions if you wear that yeah exactly questions if you wear that yeah exactly and then you know follow us um on you and then you know follow us um on you and then you know follow us um on you know YouTube we have um the podcast and know YouTube we have um the podcast and know YouTube we have um the podcast and audio and Buzz Sprout just look up iot audio and Buzz Sprout just look up iot audio and Buzz Sprout just look up iot copy talk or just go to copy talk or just go to copy talk or just go to www.i copy talk.com and you can www.i copy talk.com and you can www.i copy talk.com and you can uh get you can experience all 200 what uh get you can experience all 200 what uh get you can experience all 200 what 204 episodes yeah knowledge dropping 204 episodes yeah knowledge dropping 204 episodes yeah knowledge dropping every week uh that we've been doing for every week uh that we've been doing for every week uh that we've been doing for the past four years we're running up on the past four years we're running up on the past four years we're running up on our fourth year anniversary guys isn't our fourth year anniversary guys isn't our fourth year anniversary guys isn't that amazing there you go yeah wow yeah that amazing there you go yeah wow yeah that amazing there you go yeah wow yeah and so thanks for tuning in we'll see and so thanks for tuning in we'll see and so thanks for tuning in we'll see you next time okay oh and by the way for you next time okay oh and by the way for you next time okay oh and by the way for the last five people out there in North the last five people out there in North the last five people out there in North America that aren't following the data America that aren't following the data America that aren't following the data Diva get your ass online and follow her Diva get your ass online and follow her Diva get your ass online and follow her man a thank you thank you yes yes yes no man a thank you thank you yes yes yes no man a thank you thank you yes yes yes no she's wonderful doing the good work she's wonderful doing the good work she's wonderful doing the good work awesome so we'll see everyone all right awesome so we'll see everyone all right awesome so we'll see everyone all right take care thanks everybody all right take care thanks everybody all right take care thanks everybody all right thank you thank you thank you [Music]