Leveraging AI

37 | Supercharge Business Productivity with These Practical and Incredible AI Use Cases, with Chris Carr, President and CEO of Farotech

November 07, 2023 Isar Meitis, Chris Carr Season 1 Episode 37
Leveraging AI
37 | Supercharge Business Productivity with These Practical and Incredible AI Use Cases, with Chris Carr, President and CEO of Farotech
Show Notes Transcript

Has AI Already Taken Your Job and You Don't Even Know It? 🤔

The AI revolution is here and it's advancing at lightning speed. In this episode, expert Chris Carr joins host Isar Meitis for an eye-opening look at how AI is transforming business. You'll learn practical strategies to leverage AI tools like ChatGPT to boost efficiency and dominate your competition.

On this episode of Leveraging AI, Chris Carr, an experienced entrepreneur and AI expert, runs a digital marketing agency called Farotech and just completed an AI certification from MIT, talked about these topics: 

  • Generative AI creates custom video/audio/images tailored to your audience
  • Assistants like Pi analyze content and provide strategic insights
  • Multimodal AI understands visual info, not just text
  • Plugins & extensions enable frictionless transactions through AI
  • Regulated industries can use private AI models and stay compliant
  • AI drastically cuts time for tasks like proposals and customer service
  • Restructure your business to fully capitalize on AI capabilities

AI news of the week: 

About Leveraging AI

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Hello and welcome to Leveraging AI. This is Isar Meitis, your host. And today I have a special show for you. This is a recording of a live episode that I've done with Chris Carr. Thank Chris is very much like me. He is a business expert, a consultant, and a total AI geek. And together, we totally geek out on incredible use cases for AI that you can start using in your business today. So grab something you can take notes with, because there's going to be a lot. You will want to test out and learn for your business. At the end of this episode, just like last week, I'm not going to share all the news that there are but I will share the two gigantic news that came out this week, and I will give you links in the show notes for everything else. And now let's dive into some of the best AI use cases you can start implementing in your business right now.

Isar Meitis:

Hello everyone. And welcome to a live episode of leveraging AI. The podcast that shares practical, ethical ways to leverage AI, to improve efficiency, grow your business and advance your career. This is Isar Meitis, your host, and I've got a really special. episode for you today. First of all, we're doing this live, which is always awesome. so we are doing this live. We have people both on zoom and on LinkedIn live. But the other reason I'm really excited is because of our topics and our guest today. So every time we do these live shows on Thursday noon, It's always highly tactical on things that you can implement in your business literally as soon as the show is over. But if not, you can take time and start implementing tomorrow. And I always pick guests who are the best implementers and executioners of AI that I can find. And our guest today, Chris Carr is definitely high on that list. And the reason is Chris brings to the table three different aspects that are very, very important in order to getting it right in the business. First of all, he is a business owner and he's been running his own marketing agency called Farotech for the last 22 years. So in addition to being an AI expert, he is an entrepreneur and a CEO of a company that has been running successfully for two decades. The other reason he really is a geek like me and likes tinkering with AI and playing with things and figuring stuff out, which always makes the best people as far as understanding how to really make things tick within a business environment. And the third reason he just finished an MIT certification for using AI, formally. So in addition to his tinkering and business experience, he actually has some knowledge from taking a serious course from a serious. organization in order to complement and have a more full rounded, experience to share with all of us. And we're going to touch, as I mentioned, on very practical aspects of AI, how to use existing tools, how the future might look like for everything, business and content creation using AI tools. And hence, I'm really excited to have Chris as a guest of the show today. Chris, welcome to leveraging AI. This

Chris Carr:

is fantastic. Thanks

Isar Meitis:

for having me, Chris. Let's really jump right in when you look into the things that you and your clients, because at the end of the day, you support multiple clients. What are the top things that you're seeing today that people can and should be using AI for in order to. expand their businesses and grow the top line as well as shrink expenses and operational costs in order to get a better top line and much better bottom line across things

Chris Carr:

people are doing. First off, thank you very much for having me. I appreciate, this opportunity. so I have the luxury of, I do a presentation called AI today. it's the state of AI. Essentially what it is that I go to businesses and I say, Hey, you know what, if you give me an hour, I'm going to give you a presentation of where AI is at, where it's going and how you can become prepared. And in all of these, I'm doing this about 20 times a month. And in all of these presentations, I'm finding that so many businesses are radically, and radically underprepared for AI. Now, and here's why I think that they've gone to ChatGPT. They've tried it a couple of different times and they were like super cool, but they were maybe it's just a gimmick or a hype cycle or whatever it is. I know I'm hearing it on the news. What I'm telling you is that where AI is at today, we're radically overestimating the power of AI today. And we're radically underestimating where it's going to be in three years and the businesses that are not taking this seriously enough, either the large language models of these larger companies are going to basically take a large section of your market share or. Your competition will. And so I would much rather you be a Netflix and not a blockbuster video. And so the gauntlet that I have for businesses is this is challenge time. This is the moment of truth, either learn faster, experiment more. And adapt or die. No, that's really crazy. But all of that from the bottom of my

Isar Meitis:

heart, I agree with you. 100%. We do very similar things, you and me, and I talked to a lot of businesses on regular basis as well. And even the people who are, I would call the diehards. AI business leaders still do not really understand how to do this and run it in their business. And I get that, right? Because most, you have an agency that you're running, but you really took all in as far as using AI stuff. But most business owners are really busy in running their business. So even if they want to, even if they're aware and they're listening to the news and they're following what's going on, they don't have the bandwidth that I have as somebody who just does this as a consultancy and helping people do this. They just don't have the bandwidth to really understand what's going on. And more importantly, how do you take that and apply it in a business context? So at home, yeah, you can play with a tool. You can achieve things. You can create a video, you can do an image. How do you put it in a business context in a way that makes sense? So I agree a hundred percent with what you said. The good news is by the way, for people are listening to this and they're like, Oh my God, this is really scary. The good news is most businesses, the vast majority over 95 percent are probably where you are trying to figure out how to get started.

Chris Carr:

So these are the good, I know, what's funny is cloud computing was scary, before that the internet was scary, before that the radio was scary, before that the news was scary. Newspaper was scary. This is another technology shift. It's always scary in the beginning. It's always scary. The problem here on this particular one is the speed and the uncertainty. I've never seen anything like this. I mean, ChatGPT compounds and basically doubles in strength every 90 days. So if it's been out a year, it's four times faster than the day it was born. And just multiple, just

Isar Meitis:

think about that. I want to piggyback on that. And then I want to dive straight into examples because that's why people joined us. But as far as the speed, I always go back when people say, we had, these revolutions before about the internet and so on. So I lived through the internet revolution. I lived without internet, a big chunk of my life. And I remember the first time I connected to the internet because my roommate, at the time, I was relatively young, living in an apartment in Tel Aviv and sharing an apartment with an amazing guy. And he was a lot more techie than I am, but we were both geeks. And he said, listen, I bought us this thing, it's called a modem, what do we do with this? It's it's going to connect us to the internet. I'm like, okay, what is that? He said, I don't know, but I heard it's this new thing. And we're going to be at the frontier of this and we're going to test it out. So that evening we opened the box and connected it to a computer and plugged it in. And it was going like the old school modems. Yeah. We, then it connected and we have a little DOS prompt triangle thingy and that's it. And I told him, I said, okay, so what do we do now? He said, I don't know. So there was no interface to connect to this thing. it was for university people and hardcore geeks and we didn't have a clue. So this was very underwhelming first connection to a technology. And this was 94. The first time I opened an email address. Was 99. So five years has passed from the moment I connected to the internet to the first time to the moment I had an email address. Forget about all the stuff that now we take for give, for granted or oh yeah, I can see salad imageries of real time off the other side of the world or listen to songs in streaming. Like all of that did not exist. Five years to get an email. ChatGPT came out not even a year ago and it's changed everything. So the speed this thing is moving and it's accelerating is absolutely insane. So with that said, let's jump into actual use cases that you use and that you suggest that business people use in order to gain business benefits. Sure.

Chris Carr:

So the first thing I want to talk to you about is at the macro level, and then we're going to work backwards from macro into micro. And at the macro level, if you're a business, the things that you would have to probably ask yourself is, Hey, what is my total addressable market? It's what we call TAM. how many actual clients can I actually serve? And a large majority of companies would say, I have products or services. And for the most part, if I speak English, Unless you're multilingual and all your staff's multilingual, you're basically going to probably always service your native tongue. But what we're seeing with AI is the ability to be multilingual is absolutely incredible how fast this is going. Now keep in mind, let's pretend AI, AI has been around for 20 years and beyond, but mainstream AI has only been here for literally about a year. Let me show you something of just what's possible. Literally right now, all right? Most companies struggle to prove ROI on their marketing because they neither have the time or the expertise. Our system ensures that our clients make data driven decisions. You'll see that my eyes and my mouth and my gestures are this way because I'm speaking in my native tongue. Nuestro basándose

Isar Meitis:

en datos. mi lengua materna. You will see that my mother tongue. My eyes, mouth, and gestures are like this because I speak in my mother tongue. Look into my eyes, my mouth, and my gestures because I speak in my mother tongue. You will

Chris Carr:

So that right there was a program called Hagen. This is gonna be built into YouTube by the end of Q four in Spotify, every podcast that you do will be in multiple languages. You'll hear it in your native tongue, and. When you think about Spotify, they put what, like 200 million or maybe even 2 billion into podcasts and people are just basically rubbing their face in it saying, you know what, what a mistake. Their total adjustable market is going to be worldwide for every podcast. Multiply that by the number of languages that can be served with ads. They were very smart. They hedged their bets early and there'll be the big winners here. And it goes even farther. if I want to still stay internationally, anything that I go, I can go into chat, GPT. I can put a paragraph in there. And literally if I want to change it to Mandarin, I simply ask it. And then there's also these plugins and the plugins have something called Translation Rater, which is basically going to rate how good was that translation. Okay. So you have all of the power of video that translates it in real time. There's other programs that are built into, one's called Interpretify that's built into Zoom. And essentially with that it will literally translate in real time into any language. It's called RSI-Real Time Simulated Interpretation, but ChatGPT, any text you get, you can translate and rate the translation. So you have to start to ask yourselves, did my total addressable market just go worldwide? It doesn't make sense, but literally technology has solved this problem really well in year one. And we're only in year one.

Isar Meitis:

So I think this is brilliant, right? And to put things in perspective for those of you who are not watching and just listening to this, what you heard and what we have seen, and you can go and watch it on our YouTube channel as well, is you heard Chris saying something and then saying the same thing in seven or eight different languages with his lips looking as if it's perfectly normal and as if he's speaking those languages. And it works through multiple platforms today. The one that's probably the most accessible as Chris mentioned, he's called HeyGen. HeyGen also creates an avatar of you if you want it. So now you can create new videos without even filming yourself because once you have yourself as an avatar, you can go to ChatGPT and say I want to create a presentation about this and it will create it and then you can critique it and make changes to it. And then you can take it into hey gen and just drop it in there and you'll have a video of you saying that thing in any language and the days of that being done in real time are very near and yes, it's doable today. It's still not perfect It's still not 100 real time but within a few months, it will be meaning you'll be able to have a conversation with any person on the planet. They will speak their own native tongue. You will hear them in your native tongue. You will reply in your native tongue and they will hear you in their language. And while you're saying, okay, this is awesome. How do I even start to address that? These are the things that as business owners, we have to start thinking about. Because being able to speak the language, just it doesn't still mean you can do business over there. There might be needs for legal aspects, business entities over there, tax implications, and so on, but it gives you the technological opportunity to take your business to enter on the planet, which means if you start thinking, okay, where is my next biggest market beyond where I am right now? And for most of the people listening here, it's the U S is their current market. What's the next biggest market. And if it's not the United Kingdom, where they speak. English. now you have tools where you can start addressing those markets that were the limitation, why you couldn't do it before without starting to hiring people that either speak the language are, or are in that country. And so this is definitely a tremendous revolution in our way of communication around the globe that also obviously applies for businesses. Amazing example. Thank you, Chris.

Chris Carr:

Let me show you one step farther here. This is, let's say I go and I adapt that approach and I'm like, okay, I am going to go international. The first thing I'm going to probably have to do is go and build my website and when I build my website, then I have to have all these subdomains of all of the, for every page that I build on my website. I do believe that we're very close to any website builder being able to click a button, it's going to run everything through ChatGPT and it's going to build all these pages in natural language. I do think that's very soon, but let's assume that we want to make it more interactive. The first interactive thing you can do is you can basically create a large language model, build that into your website so that they can ask questions almost literally in a live chat and they'll hear it in their own native language. But here's also where it's going, because a lot of what you're going to notice is that people, and I'm going to mention this a lot, is that they buy from people that they know that they like and that they trust. Okay. Now. If even though there's this thing called the Turing test and the Turing test essentially means, they're not going to be able to tell the difference between something that was made with computer or by man, like you're not going to be able to tell the difference. When I'm finding an early studying is that if you give a good enough answer, they actually don't even care if it was generated by a human. Okay. So The bar is actually lowered. So let me show you this real quick. And this is just gives you a little bit of a look down, down the lens and saying,"Hey, Oh, wow. I could actually have them familiarize themselves with me, my brand, and literally my, my, my personal identity." So let me just show you this real quick. Hello, Peter. It's

Isar Meitis:

an honor to have you on moonshots. This is Peter Diamandis, and I'm thrilled to be speaking with you. Let's dive into the world of exponential technologies, moonshot thinking, and pushing the boundaries of what's possible. what's on your mind today, and how can we inspire our listeners to embrace a mindset of abundance and boldness? I appreciate the fact that you think you're Peter Diamandis, but I'm the actual Peter Diamandis, and you are an AI on my podcast called Moonshots. And just to make it simple, if you don't mind, I'd like to call you Peter Bot, so the audience can understand who's who in this. Is that okay? Of course, Peter, I apologize for any confusion. Let's keep it simple and call me Peter Bot for the sake of clarity. Now let's dive into some mind blowing moonshot discussions on our

Chris Carr:

podcast. So what that means is that you literally can have a large language model. Built into an avatar that looks like one of your critical sales people. And they would familiarize themselves with you, your brand, and they would be able to see this type of technology. Now, again, I'm sure that you're like, Hey, I saw the image on the right and it looked fake to me. I'm like, this is year one. All right. it looked pretty darn good for year one for me. But when you do speak on the phone, I see this all the time. I run a podcast. And then when I speak to somebody on a sales call, I know that sounds really weird. It's almost like. Dude, I've seen your podcast. It's I've seen you on TV. I'm like, no, man, I'm just a guy with a YouTube channel. You know what I mean? This avatar will actually turn into these situations where they'll feel like they know you. Also, the large language model behind the avatar is probably smarter than you because I study up for certain shows and then I forget it. The avatar that knows everything I've ever known and everything I've ever said doesn't forget it. You know what I mean?

Isar Meitis:

So I'll add two things to what you're saying, because I think they're very critical for people to understand. One is there's companies out there today, and actually there's an interview of them last week with a company that provides customer service in sales calls aI based, meaning they do everything from outbound cold calling to taking customer service calls, doing every aspects of a call center, but without actually having people there. And the benefit of that is that customer service agent or that salesperson knows. Everything it's connected to the CRM. It's connected to the customer service ticketing system. It's connected to the knowledge base of the company. It's connected to your profile across every social media channel. So it knows a lot more than the actual human salesperson will ever be able to know. So beyond the fact that it's maybe for us humans right now, not being used to it, it's a little creepy. It's a much better service that will get you to where you're trying to go, whether you're trying to buy something or whether you're being sold something or whether you need customer service, you will get better, faster, more efficient result than you are with actual humans. So that's one aspect of it. That once you go beyond the creepiness of this, like I hate. Calling 1 800 CUSTOMERSERVICENUMBERS because it's always a freaking nightmare. And that nightmare can go away basically now. The other thing to enhance what Chris said is you said, okay, you can create an avatar of yourself or one of your salespeople, but take it a step further, take it to the point where I know who the customer is or at least the type. So what persona that is, it's female, male, they're old, they're young. What age group, where they are in the world, what stuff they're follow on social media and so on. And I give them the avatar that they will connect you in the best, most possible way. So now it's not me or one of my salespeople, it's a hindu woman in her forties talking to another Hindu woman in her forties that happened to me, my potential customer speaking in their language. And what I said today exists today. Now, again, it's not perfect. Chris said, we are in the very, very Infancy stages of all of this, like a year from today in the pace things are moving, you'll be able to have people represent your business, your brand, your company in whatever avatar you want in real time, based on the actual person they're talking to, speaking to their language, knowing everything they need to know about your business, about the customer and so on. And it's a completely different mindset on how you structure a business, how do you do your processes and so on. And when Chris and I say, you need to start thinking this way to prep your business, you need to start thinking this way to prep your business. Because the tech allows it right now and will definitely allow it a year from now.

Chris Carr:

Hey, you hit on something that I thought was absolutely incredible because what I talk about is the future of what ads are going to look like. And you were talking about getting the right message to the right person at the right time. But then you were all talking about what I call like the art of hyper personalization, and let me show you something here real quick. So what I believe is that the goal of generative art, if you've used Midjourney or Dall-e 3 or anything like that, I think a large majority of people just think it's going to be about creating funny pictures of God knows what or chubby unicorns or whatever, but the future of where this is going is hyper personalization. And so let me give you this real quick analogy. again, think bigger than cute pictures of unicorns and start to think about stories like this. This is my business partner, Todd. If you talk to Todd, even for five minutes, you're going to know that he loves to golf. Okay. Now, just like anybody else, Todd buys from businesses that he knows that he likes and that he trusts. So who does Todd know, and trust more than anybody else on the planet? Probably himself. So in the future, when Todd goes to look at an ad and, I'm sorry, looking at his phone and an ad comes up, it's going to be for golf, but it's going to be eerily, these ads will look eerily just like himself. If it's connected to his social media profile, it'll also know his favorite color and possibly the clothes he's bought online. If you're an African American woman, And you're looking for a laptop. We're not comparing you with stock photos. You'll literally be able to have generative pictures that look shockingly like you and those who love you. Now let's take it one step further and go to musics. This is a song a hundred percent made up. that's, it's an AI driven for Post Malone.

Isar Meitis:

Screaming in my face, kicks me out show place. I've got no way to go. Can we love again? Is this the end, tell me how many more tears we'll try to give me, we can't wait to try love again, can't we fight?

Chris Carr:

Okay, so that's a hundred percent made by AI. But here's what the future looks like. This is a fake profile for Amanda. Amanda's going through a tough time. First off, she just broke up with her boyfriend. She's really upset. She's going to college and she's you know what? I think I'm in over my head. I don't even know that I even graduate. But on a lighter note, I did buy a puppy and the puppy's name is Luna. All right. in the future, when she hears songs from Post Malone, he's going to be singing about boyfriends and college and puppies. That's the power of hyper personalization. That's what's coming with AI. All right. You're getting the right message to the right client at the right time. And it's hyper personalized to probably what you look like, your aspirational views of where you're trying to go. And the things that you might need along the way that those businesses probably can sell you.

Isar Meitis:

So brilliant points. I will add something on the dark side of what you just said, because there's obviously, and if you're listening to this, there's a lot of scary stuff once you start diving into what's the implications, but from a social implication, the problem with this, when it's ads, it's perfect, right? Okay. Maybe it's not perfect. Maybe it's going to even twist with our brains, even further to get us to buy stuff we don't necessarily need. But when you think about the bigger picture, movies will be. Changing in real time based on your reactions, right? So it will, there's already technology today that can read our faces to figure out our emotions and how we're interested or not. And so combine that with a movie that says, Oh, he's starting to lose interest. I will change this or do that or move the mood towards this, which means we won't be watching the same movie. So there's nothing cooler talk the next day. It's Oh, did you watch the later Avengers movie? guess what? It's a different Avengers movie for every single person. So there's not much to talk about. And so it's things like that, right? That you're like, okay, so what are we? So there's a lot of implications beyond business, but from a business perspective, I think to summarize the first segment of our show and I absolutely love everything that you bring in Chris, the first segment tells you that. The technology is there today to take us beyond what we can do with people today, to the point that we can create content, communicate in real time, in any language, with every kind of personality you can imagine, basically effortlessly once we connect all these systems together. So this is where we are from a Get ready to something that's coming and that you can start using now and gain some advantages over your competition. What other examples, or if you want to continue on this, I can, I'm perfectly fine with that, but I know you prepared a few other examples as well.

Chris Carr:

Oh, sure. Sure. and I think one of the things that we're seeing in the future of multimedia Uh, let me show you this real quick and then, we'll get eventually we're going backwards from macro to micro, right? Okay. But, let's show you what the kind of the future of multimedia looks like. And this is for podcasters. This is for people that are just like you and me. All right. So this right here is a... Adobe Firefly for video. And then I'm going to just show you this real quick.

Isar Meitis:

You can create your own custom music and soundtracks as well as finding sound effects based on what you are seeing, which is mind blowing to me because I didn't even know that was possible. Furthermore, if you want to actually generate your color grades using text, you can tell Firefly what you want and it will just. Do it. This looks extremely promising. Adding on to the captions feature already involved within Premiere Pro, it looks like we're going to be getting some more captions, which would be awesome. You can actually create animated 3D text. Cool. For video, my favorite thing is finding b roll. To be able to click a button... And have Firefly analyze all your clips and automatically put b roll into the timeline would allow us the option to create rough cuts and rough edits extremely fast. And one of the most mind blowing features of Adobe Firefly is the ability to generate storyboards. And not just storyboards. You can also make a previs so you can theoretically see what your project will be like before you even shoot. This is changing everything.

Chris Carr:

What do we see here? First off, if you want to have One of the hardest things you can do if you've ever built video is to basically, what's the feel like? What's the music like? You can simply just speak it into existence and you're going to get examples that might be a fit. It's also going to read your videos to tell you what it thinks it should fit. From a sound effect standpoint, it's going to read your videos and it's going to anticipate there's a wave. They're basically, there's the ocean. We recommend a wave sound and we're going to basically, so there's no sound mismatch. We're going to figure out as the wave goes from the right to the left, how to make it so there's no sound mismatch. You can do all the color grading. You can change the type of debt time of the day. This is like he mentioned, this is my favorite portion. It reads my transcript. Here's some nouns, shoes and chalk and wall. When I go and I make the videos here, shoes. Here's chalk. Here's wall. I sell video as a service right over there. In front of me is our video studio. We bring clients in and we say, Hey, and in, in the first scene, we're going to go right up to your office. And then two people are drinking coffee. And then the next person says this, and the next person says that,. Adobe basically is going to take my whole transcript and they're going to do that process for me. So you'll see what the movie looks like before it's even filmed and it'll even 3d render what it should be. So when my video team basically gets there, we basically just follow the rendering. So all of that's available right now.

Isar Meitis:

So totally mind blowing. I'll add two extremes, one on the lower end, one on the high end to connect the dots for people who have never played or seen these kinds of technologies or demos, and again, great choice because it's a great example of where. content creation is going. So on the high end example is very shortly, they won't be a need to film anything because that initial rendering will be good enough to be the actual video. So you will be able to script something with a generative AI tool while throwing ideas. So let's connect a few dots together of stuff you and I know. When I run meetings today, every meeting is recorded, summarized, and action items are created with an AI, so I don't do any of that anymore, and it's reported straight to my CRM, meaning the ability to listen to humans communicate, understand what the conversation is about, and pull out the right stuff is already there, so you can do your brainstorming session about the video, have an AI listen in, take notes, say, oh, here's what you guys were talking about, Is this what you mean? And it will be instantaneous. there won't be now somebody has to go to the office, do their thing. Let's meet next week. Like you'll be able to see a rough cut of a video right there out of the brainstorming. And then if you say, yes, this is what we want, but change this, add that we want this lighting, like all this stuff that Chris just showed us, you can have a full ready to go video with a single session versus three months without any video people, without any lighting people, without any sound people, without an actual, location, actors, editing, all of that, goes away. And it will be very soon at the same quality as shooting live. And it could be with any actor. And like we said before, in any language and so on. So this is on the high end where this is going. On the low end for those of you who do not produce video, but still want to say, okay, this is amazing. How can I start using stuff like that tomorrow? I now use daily every single day. Dall-e 3 within ChatGPT and I'm a and I'm to put things in perspective. I'm a diehard Midjourney junkie. I think me journey does amazing things, but the ability to be able to great images within a chat context and I'll give you a very practical example. I'm speaking in a conference on Monday, and the last thing I do is I create images for the presentation that I'm doing. And I need images. And I literally went to ChatGPT and said, Hey, listen, I'm giving this presentation. And I... This is the kind of audience I'm speaking to. This is the setup. I'm on stage and this is so I need big graphics because I'm writing very little and just big things. It's a dark background and I want it to pop off the dark background. So I give it the context and then I said, okay, in slide one, I'm going to talk about X. Give me three ideas of what should be in the graphics. And it always comes up with awesome ideas. So now I'm brainstorming with somebody who has done a gazillion presentations, basically any presentation on the internet. And it gives me great ideas of what could be the graphics. And I pick one and give it some comments on what it suggested and it generates the graphics for me. And then it's an iterative process. I'm like, Oh, this is great, but it's all black and white. Can you make this in color? And then I get a color variation. Wow. This is too colorful. Can you dumb it down a little bit? And I also want this guy out of the picture, but instead I want that. And that's it. So something that used to take a team of graphic designer and back and forth and potentially shooting video that will take weeks happens in minutes and it's absolutely magical. And the implications for that, for any business, whether you're creating content today on how much more content you can create or businesses who never created content because, Oh, it's too expensive. It's too much of a process. We don't have the time. We don't have the money, no more excuses. I'm going to,

Chris Carr:

I'm going to even show you one other thing that, that I do. Have you seen Pi? Yeah. Yeah. So this is just for your audience. Who's probably not up on everything like you and I are. So this is Pi. And so this is the future of Siri, but this is also Pi and when I Pi is connected to the internet. And so I could literally, if I wanted to prep even better, for this show, what I could have done in theory is I could have went to your blogs or your videos or whatever it was. Maybe I'd have to use glass to get a transcription and I would import it into Pi and I would literally ask it. Hey, what has he said in the past? He's very complete, very comprehensive what he says, but what might be some of the gaps that he missed? Pi is like incredibly intuitive and it speaks really well. So let me just give you a real quick demo of what I'm talking about here. Hey Pi, I'm doing a podcast live. I'm wondering if you can show the firepower of how you communicate. And how you talk and then give me an analogy of, if I gave you a bunch of information, how I could find gaps in my content, what would you do? A podcast host

Isar Meitis:

extraordinaire. Sure thing. I'm always happy to flex my digital muscles and show off my linguistic prowess. As for gaps in your content, I'd love to help fill them in. Here's what I could do. Analyze your current content to identify any missing topics or information, help you brainstorm new ideas and angles to explore, provide suggestions for ways to organize and structure your content, offer research support to dig deeper into specific topics, recommend relevant stats, quotes, or sources to support your content. So let's dive in and make your podcast content even more compelling.

Chris Carr:

So this will talk like a human being while I'm driving and I know I got to write a blog, I'm going to say, Hey, this is my first draft of the things I'm thinking, here's three articles that are on the same thing. What are they missing? When I write my content, what angle do you think I should take? And the AI sort of just tells me. So we're talking about content creation, but one of the things we don't see is our blind spots. And this is what the AI can do. It can fill in the blanks and say. Really cool here. But are you thinking about privacy with AI? Are you thinking about how it's going to impact the international community? All of these things are at your disposal. It's like having someone in the room that has a blank slate that can say, Oh, you know what, you should talk about this. Oh my gosh, I never even thought of that. I was always going to the left and it's amazing, but it's. This is your

Isar Meitis:

right now. So you just gave me a very interesting idea that I'm going to try today because I never thought about it. But now that I've, now that I saw it, I can't unsee it anymore. Yep. There's a web plugin for Chrome called WebPilot, which allows you to basically query any website you're on with AI. So instead of looking through a website for any content, you just open, and it's a keyboard shortcut that you can program, and it pops up that window of WebPilot, and you can ask it any question about the content on the site. What I've never tried doing is asking it what you just said. About the content that's not on the site. So I've been following the site. What are they missing right now that I can talk about that, that I can serve to their audience. And I think that could be a very interesting exercise. I don't know if WebPilot knows how to do that, but I'm going to try it later

Chris Carr:

today. Yep. Let me show you other things that will feel very weird at first until everyone does it. So first off, you need to know there's a massive jump. in ChatGPT, where literally it's like saying we gave the AI eyes, what I mean by that is it's multimodal, which basically means you could take a picture of something, you can highlight it and it's going to talk to you about that item the same way it would do if you gave him like a paragraph to look at. But here's where I believe that it's going, is that you will be in meetings, and so you have a whiteboard in your meeting and you're drawing there. You already saw with Pi. It has eyes, and it has a voice. It's going to say what you did and it's going to know in computer talk, what you're doing. And it's going to be someone who joins you in meetings that speaks up, that tells you these things, like literally it's like having a robot in a meeting. Only that robot is considerably smarter than everybody else. And so one of the things that's very interesting about the new Bard is that you can have a conversation with the AI and then you can create a public link. And as a thought leader, you can share that public link. And you can say, this is all the concept. This is how I got from point a to point B, you take it and run with it. And take it wherever you need to go. So as an influencer you can start the conversation and you can let the world run

Isar Meitis:

wild with it. Yeah, basically open sourcing your thoughts crazy. Yeah, it's it's brilliant I'll say something about the visual side of ChatGPT or Bard that you can start using Today, it's available if you're paying the 20 bucks a month for a ChatGPT. The amount of use cases that you can do with that are absolutely endless on so many aspects of the business. And I'll give you an example. I'm one of the presentations I'm giving shortly is to a home automation conference and they, they go to people's homes and they offer them different automation solutions. So anything from electric blinds to surround sound music to, or all house systems to TVs, et cetera. And one of the things you have to do is you got to write a proposal for that, right? So you've got to run cables across the house for different things, either sensors or speakers and so on. And to do this, you need to start with a floor plan of the house. So today there's already apps that you can scan the house with your phone, and it will create a pretty accurate plan with the right measurements. But then all I did is I plotted with a pencil lines on the floor plan over, I think wires should go. I uploaded it to ChatGPT and I said, okay, can you help me figure out what's the total length of speaker wire that I need based on the red lines on the thing. And eventually it got it wrong because it didn't do the right calculations, but I helped it figure out how to do the calculations, And I got. This is a process that I could have done on my own. It would have taken me, I don't know, half an hour to an hour, but I also connected it then to the internet to get the pricing of the cables and created a proposal that includes the hourly rate that it will take me to do this combined with the length of the cable, combined with the price of everything and all the materials that I need. And it took me the whole thing that would have taken me probably a few good hours to do, took me about 20 minutes. And that was the first time that I did it. So when I do it now, it will take me about five because I have the template on how to do it moving forward. These are the things that these tools enable to do today. And this is just one example, but you can take it to any business in any aspect of the business. And you will be able to find these use cases where stuff that you're doing right now regularly and takes you hours can take you minutes.

Chris Carr:

I was, I spoke with a forklift truck company. They were a 500 million forklift company, just outside of Philadelphia. And we were like playing around with the technology. And this is the future of where it's going is, Hey, forklift company, I have this part. What if I'm selling Caterpillar forklifts, which forklifts even use that part. And it gives me the answer of that part is in these eight forklifts. And then the people that are in the field that are literally reading manuals to fix these things. They're, or they're calling their support center and the support center has to go and look it up, stuff like that. You'll literally be able to have the whole instruction manual, but you will literally start to talk to it in natural language processing. So it's not like looking it up on the internet. You can literally be pretty dumb in the field and be like, Hey, this is part eight, six, seven, five, three Oh nine. Where does this go? And what do I do with it? Okay, cool. You know what? What you told me doesn't match up here. I'm going to send you another picture and they're like, Oh, you're using the wrong tool set. It's like literally having an assistant that has eyes and has ears. You know what I mean? it's going to be crazy. And you know that AR is going to be built into this too. it's just a matter of time before AR is built into it too. I think that the DYI videos that you get something from Ikea and stuff like that. I think with AI, literally you're going to start to build it. You're going to have your laptop in the room and it's going to have an arrow. It's dude, put the screw in right there. And you're like, Oh, you know what

Isar Meitis:

yeah. For those of you don't know what AR is, it's augmented reality. It's basically the ability to overlay data on top of visual world. So you have glasses that are transparent, like you can see through the glasses, but there's projection on the glasses. So think a Terminator kind of stuff where he knows who people are, what they do or what they say, same kind of thing there's already. Several different companies generating gear like that. And it's probably going to become something that we wear regularly. in the future, definitely my kids will jump all over something like that. Yeah,

Chris Carr:

I have, so I ride a bike like cycling and for years they've had a company that, literally you don't have to look odometer anymore. There's basically, it's proven that if you look down, you slow down and so you can continue to look forward in your whole odometer. It's like a dashboard cam the way pilots see it. Yeah, exactly. And all of that is for the taking,

Isar Meitis:

amazing.

Chris Carr:

I'm going to give you the five minute example of what I call the future of, ChatGPT with extensions. This is the future of where ChatGPT is going. Obviously ChatGPT is not connected to the internet, but the other large language models are, but this is how it's going to work is that you're going to go and you're going to say, Hey, you know what? I went to a restaurant in Ambler and I really liked an item on the menu and it had shrimp on it. And it says, Hey, I looked at the menu and these are the three items. And I said, yep, that was it. Number two, how many calories are in that? And it says, according to the menu, what has a lot of calories in that? And I say, you know what, can you make me an alternative? And it's going to say, you know what? I just made you an alternative for 680 calories. And I said, you know what? That's perfect. Please connect my Instacart plugin. And they says we did. And those ingredients will be at your house in three hours. So what do we learn here? we've always bought products. online, let's say I'm thinking through Google and then you have interruption marketing here with Facebook and social media platforms, but there's literally going to be a third lane on the highway. Alexa was always been trying to do this, but this is going to be a third lane on the highway where you're bypassing Google and you're bypassing social media, and you're literally just going to talk about products and services, it's going to show up visually for you. And you're going to be able to buy products and services, it's like a whole third lane of the highway. And When you're trying to say, what do I do now? It's investigate what plugins and extensions are. They're not too hard to build, but start thinking this way that if I'm selling my products through the traditional means, how do I be the first one to implement it in another way? Even if I'm an early adopter and I don't get much value from it, it's absolutely going that way. In fact, it might leapfrog everything eventually. So so yeah, this is case in point. It was like, I'm sorry, like I'm going to Chicago. I have 2, 300. I want to stay there for two days. And it's going to say, here's your flight. Here's your, here's a rental car and here's your hotel. And you're like, yo, man, I never fly spirit airline. And it's okay, let me readjust everything for you. And

Isar Meitis:

it'll just do it. Yeah. So the idea of agents that can actually take actions beyond just giving you data or generating content, is something that again, I think will mature in this coming year and we'll be able to see the. Abilities to do exactly these kinds of things, right? And take it to any aspect of your life. And even the travel side of it, if you think about travel, and I used to own a large travel company. So I very well connect to your last example. If you think about how most leisure travel happens, you don't know where you want to go. You don't know exactly what you wanna do. What you do know is you have a summer vacation of two and a half months, and you know that in that summer vacation, if you're not gone for a week and a half, somebody's gonna lose their mind or die because it's not gonna end up well. So we gotta go and get away. Yep. For X number of time. And I can get off of work for 10 days and have a budget of$4,200 for a family of four. And I live in place X and I like hiking and I like the beach. That's how most vacations start. They don't start with, let's go to New York. And but today there's no way to search this way. The only way to search is start reading blogs or where people are hiking and can we afford this? And then you start going and looking at the airline. And so all of that goes away. You'll be able to say exactly what I said, which is I want to take this vacation with this amount of people. This is the budget. This is what I like to do. And it will give you 10 examples and they will be able to filter it again. Just explaining what you like or don't like about the different examples. A thousand percent spot on, uh, any questions for the audience? So I see a question from wheels that I came late to the webinar. But, do you have use cases for healthcare and financial services that are highly regulated? Currently, the compliance and legal folks of these firms on holding Gen AI efforts back because we don't know how to manage the risks. The business leaders want to take advantage of the power of Gen AI. Any examples you can share, would be great to hear. Thank you, Will. So I will let you answer that, first.

Chris Carr:

I think that the first one is some of the bigger players are already there. I think one of the things I would probably look into investing in is Bloomberg AI. Bloomberg AI literally has a right sidebar. It has, what is it, a hundred years of proprietary data behind it? And what that's going to do is that's going to arm your team with information that very few people have at a speed that they would have. And because it's in natural language processing and because it's connected to a large language model, it's not like it's just, this is information and here it is. When they ask a pre qualifying question, you can continue to go back to Bloomberg

Isar Meitis:

AI. I'll add one thing to that. The issue with proprietary data and then obviously regulated industries like HIPAA for health care and legal and finance and so on, the ability to run self hosted models exists today. Meaning you can build your own in house models running on your own servers with your own security layer, just like you treat the rest of your data and still be able to enjoy the benefits of all the things that are talking about. It's obviously a much bigger. effort to go that step. Meaning if you just want to use Chachapiti, awesome. You want to use ChatGPT through an API, awesome. You want to use ChatGPT through an API and your own database, still relatively easy. Once you start going to, we need to host our own servers with, with a, open source third party platform with our, yes, it's doable, but that's a Relatively big IT process. I think that every single company within those regulated industries will have absolutely no choice, but to go down that path. And the reason I'm saying that is twofold. One, that's how people will engage with businesses. Nobody will want to call a call center and talk to four people. They will want to ask their app a question and get an answer immediately with links to everything that they need or with an immediate answer to what they were asking without any links to things that they need. So that's number one. Number two is once the first company within that sector will do that. Yeah. Everybody else are fucked. Pardon my French. if you are in a healthcare provider and your direct competition will provide this interface because they took the time, the money, the effort to build it into their system that allows you to chat with a, whatever the thing is that connected to all the data without exposing it to the world, then nobody will want to work with your company anymore because we'll feel archaic. It's as if somebody will ask me to send them a fax. I'm like, how do I, like, where do I get a fax machine? this is where this is going, we'll have, nobody will have a choice. And obviously, the smaller you are and less regulated you are, the faster you can move. But going back to what we said early in the beginning, Will, is we said, It's all about thinking how you need to restructure your business in order to support this new technology and give the maximum value to your clients and prospects. And in the healthcare or the regulated industries, it will involve how do we build a large scale solution that is hosted in house, that is HIPAA compliant, that can be within the regulations of our industry, but still provide these benefits to our clients as much

Chris Carr:

as possible. And one step farther is that AWS is partnered with a ChatGPT competitor, called Anthropic. They have a large language model called Claude, which is HIPAA compliant. It doesn't train on the same data. If you're using the enterprise version, if your organization is using AWS from, like an enterprise level, you're going to have that built in, but you're also going to have open AI, not open AI. Sorry. Hey, it's so easy to go down that road, but open source. Language models in your same W. A. W. S. Platform. And so you're gonna have certain things where you're gonna have proprietary information. HIPAA related information that's locked down in a gate over here. But you're also going to be able to have a sandbox that individual employees that are not using patient sensitive information or, PMI, I think it's PMI, patient medical information, PMI over here. So you're going to have the best of both worlds, but anthropic right now seems like they're the big player. Not sure if you've been following the news, they were literally given 4 billion, like it was chump change from Amazon and, they are going to be the real player. But you're going to have these choices of it's not either, or it's probably going to be both.

Isar Meitis:

and I'll add to what you said now, all the big hosting platforms. So you're talking AWS from Amazon, but also, Google cloud, as well as Azure for Microsoft, all basically partnered with all the big players to allow you to use their tools built into the hosting platform almost seamlessly. So it will be. A lot easier in the very near future to just take the data you already have on these platforms and be able to overlay whatever AI engine you want on top of them, either a base model or any trained variation of it from any provider just built into the. Hosting a cloud solution. Yep. And I also

Chris Carr:

believe that they're going to, Oh, let me one last piece. Yeah, go. You're going to have fine tuned models. What I mean by that is it's called narrow AI and let's say hypothetically, GPT, ChatGPT is strong because it's wide fine tuned models. Imagine it's good at one thing and only one thing. But if I am a cardiothoracic surgeon, you can literally upload every publication on, a heart surgery possible and a fine tuned model, you'll literally be able to use that as an unlimited reference guide. So the medical community, even though that public information is going out, they're going to have access, multimodal, whether you can take pictures or have access to the data. They're going to, it's like almost having everything that's ever been written and you can talk to it conversationally. So while it feels like regulation, there's too much power and too much money behind AI that these walls will come down very quickly. The iPhone was not used in year one because of privacy and regulations. And how many businesses have iPhones? We've been here before. And we'll

Isar Meitis:

be here again. Chris, this was an amazing conversation. We touched on a lot of really important things. I'm sure it will be a serious eye opener to anybody who listens to this because we jumped into some of the more frontier stuff that I usually don't jump into. I think the biggest stake here is you have to get ready from a business perspective. You cannot, it's not one of those things that I can put my head in the sand and it will pass. It won't. And the way I refer to this, there's a tsunami coming to shore. And it's like any tsunami, it's coming and it's going to hit the shore and it's going to break everything on the shore. And you have two options. Option one is to build a really sturdy boat and ride the wave. Or sit on the beach, drink your margaritas and wait to see what happens. and it's not going to be pretty if you sit on the beach and wait for the tsunami to hit. And so I'm not saying this to scare anybody, but the flip side to encourage people to start understanding what this can mean for their business, what this can mean to their industry, what this can means to their competition, what this can means to the needs of their clients. Some of this, the needs that you're serving today will become irrelevant. and unnecessary in a year. And, we touched on a lot of things today, but translation services are fucked. Nobody will hire a translation company ever again. It's just not going to happen. And so it's these kinds of things are like, what in my current offerings is going to disappear? And on the flip side, what new offerings can I offer? With these new capabilities, Chris, if people want to follow you, work with you, learn more about what you do, get more of your brilliant knowledge, what are the best ways to do that?

Chris Carr:

hit me up at info@farotech.Com. I give a free one hour presentation of the, basically again, the state of AI, where it's at, where it's going and how you can become prepared. That tsunami you're talking about. That's what I do is this, what I train companies to know. And then, I, this is one of my favorite podcasts I've ever been on. I gotta admit, like usually people. Are like, when I talk about AI, they're just like, I use trapping GBT once. Is that what you're talking about? Is it the terminator, but plug into shows like this, get information. I have another one that is called, digital marketing masterclass and another one called business innovations. ai. All I do is talk about AI literally all day. The knowledge is power and I highly recommend that you just get as much information as possible, but if you don't have the time, lean on people like us that are swimming in this every single day and we will help you get to the next level. thank you very much for this opportunity. This was, this is one for the, What's it called for the, this is one for the ages. So thank you so much.

Isar Meitis:

Thank you. this was really great. I think everybody that joined on LinkedIn, I think everybody who joins us on the Zoom. I usually, I say, I hope you got something positive out of this. I know that everybody got a lot out of this. This, we really touched on a lot of great stuff. I appreciate you. And I appreciate you taking the time and sharing your knowledge with all of us. This sounds great. Thank you so much. Bye everyone.

Wow, what a great conversation with Chris. I really enjoyed the conversation and the back and forth, literally just two people who like AI and like growing businesses, geeking out on the topic. I hope you really liked it as well. The biggest take for me from this conversation is that there are literally endless use cases available at your fingertips right now without paying any significant amount of money And with a very easy learning curve, any business can do and should be doing in order to be more competitive in the immediate AI future. And now for the news from this week, as I mentioned, two huge news came out this week and all the rest, you can go and check out in the show notes, I'm going to put links to them. So if you want to educate yourself, you can do that. But since this was a relatively long episode, because all of our live shows are an hour long, I will focus on the two gigantic news of the week. The first one is from open AI, open AI had today. Monday, November six, they hosted what they call their dev day, basically their conference for developers who are developing using the chat GPT API. And they made some huge announcement on their day of day. And these are earth shattering when it comes to AI and the implications of what they did. What they've introduced is what they called. ChatGPT 4 Turbo, which basically relies on top of the existing ChatGPT 4, but then adds and changes a lot of things in it. The first thing they announced about that is that the context window, meaning how long of a text can you upload to ChatGPT grew from. 8, 000 tokens or 32, 000 in some use cases to 128, 000 tokens. This is a huge improvement. I personally am using Claude 2 from Anthropic for a lot of the long text tasks that I have to complete either for myself or for my clients. And the reason for that was even within the context window of chat GPT, it would stop and halt and get stuck and stuff like that. And this is going away. So they right now will have the longest context window there is with 128, 000 tokens. For those of you that don't understand what that means, about 75 percent of that is the number of words. So we're talking about 100, 000 words ish, which is about a 300 page. Book of an average book that you can now upload to chat you PD and interact with so you can upload or get answers with a huge amount of data without any customization straight out of the box. The new model is more accurate than the previous one. It provides more control for developers with the API. It provides for reusable outputs, meaning you can add parameters to get higher consistency, which are really important for business use cases. They've also announced that it now knows stuff up to April of 2023 where before it only knew stuff up to September of 2021. It's not fully up to date. It's still seven months behind, but they said they will keep on updating that to close the gap further and further. But in addition, they've announced that it now is a true multi model, meaning all the different functionality that so far you had to pick from drop down menu. So you could choose to have advanced data analysis. You could choose instead of that to have the ability to browse the Internet. You could choose instead of that to be able to create images with Dall-e 3 or you could choose to use the regular quote unquote model, which can interpret vision and images. And now they're all baked into one model, which is absolutely incredible. This opens a huge, like an entire universe of use cases and opportunities. And the other cool thing that relates to that is the same functionality. So text to speech in multiple languages and multiple voices, vision capability to analyze images. Advanced data analysis and so on are now also available through the API, meaning for third party platforms and developers to be able to use that This is an incredible, incredible step forward when it comes to opening AI capabilities to the masses. They've also announced what they call GPTs, which is basically the ability of every single person to develop GPT based apps for customized specific tasks. And in order to program that, you use natural language, so you can program your own versions. Of chat GPT to be very good at something very, very specific tasks you need for your personal life or for your business. And you can then package it as what they call GPTs and reuse this thing again and again and again, without knowing how to write code. In addition, there's going to be an app store for those GPTs and people who will create ones are going to get used a lot are going to get revenue share from open AI. This by itself is a game changer because any person can now develop apps for ChatGPT because they are quote unquote programmed using natural language and you can post those and make money through that if you make stuff that's actually usable and helpful to people. In addition to all of that, they've announced that 4 Turbo is going to be two times as fast as GPT 4 that we used so far. And companies will be able to request and pay for even faster speeds. All of that will happen while they were able to make the API three times cheaper for most use cases. So, A huge, huge announcement from OpenAI today. I still can't even wrap my head around on all the implications of everything they've announced today. I will most likely record a separate episode just to talk about use cases and what that means. So more on that in the near future. Sam Altman at the end of his speech said that when they do this again next year, everything they've announced this year, which again is mind blowing. We look like peanuts. So just be prepared for a lot more of extreme changes and announcements in 2024. And speaking of big announcements, another huge announcement this week comes from. No other than Elon Musk, the richest and one of the most influential people in the world. And he announced that x. ai is going to release the beta version of their new AI chatbot called Grok. And it's going to become available to X premium plus subscribers. He claims that on many different aspects, it is better than GPT 3. 5 and on some aspects, it's the best in the world today. Now, time will tell how accurate that is, but the fact that we're able to spin off a brand new model that quickly is incredible. It is shows that the world is learning how to develop these models, powerful models faster and faster than we did so far. But if we connect this to Elon Musk again, Elon has a very long history with AI. He was one of the founders. Of OpenAI, the company behind ChatGPT, he wrote a pretty big check for that, and he was on the board until 2018, where he left due to disagreements with its current leadership, and Sam Altman, who is the current CEO, he since then was involved in several different AI related activities, including obviously self driving cars, a Tesla and the Tesla robot that they've already done a few demos for now, as you know, Elon purchased. X or what used to be Twitter as needs now X, which provides him access to basically human communications in the last decade on a very detailed level. So from a training data perspective, he has access to. Anything from basic day to day communications to the biggest thought leadership announcements that happen, because a lot of it happens on X combine that with the fact that Tesla announced that they collect 1. 3 billion frames of videos of the real world every single day, just tells you how much data Elon and Elon's companies have access to when it comes to developing AI models. They also have their own technology. Meaning they've developed their own chips, as well as their own architecture on how to use AI. And if you want to make that even more science fiction, he also controls Neuralink, which allows to create a chip that connects to your brain. and he also owns Starlink, which allows to connect all of that to the internet from everywhere the world. Combining all of that together, I definitely think Elon and his group of companies are going to play a very big role in the AI and its impact on humanity in the near and medium future. That's it for this week. Until next time, experiment with AI try different things. Share what you find with the world on your favorite platform. Share it with me on linked in and until next time, have an incredible week.