Leveraging AI

21 | Revolutionize the User Journey, Leveraging AI Video Personalization with Don Bosco, founder of BHuman.ai

July 18, 2023 Isar Meitis, Don Bosco Season 1 Episode 21
Leveraging AI
21 | Revolutionize the User Journey, Leveraging AI Video Personalization with Don Bosco, founder of BHuman.ai
Show Notes Transcript

Are you ready to revolutionize your marketing strategies and create authentic connections at scale?

Discover the revolutionary power of personalized videos in this episode, where we dive deep into the art of scaling human connections with AI. Our guest, Don Bosco, founder of BHuman, shares insights and practical tips on leveraging personalized video messaging to create memorable customer experiences. 

Topics We Discussed:
✅ Harnessing the Power of Personalized Video: Unlocking the potential of AI to create customized video content that resonates with your target audience.💡 The Psychology behind Successful Marketing: Understanding the importance of psychology in building strong connections and tailoring messages to specific personas.
✅ Use Cases for Personalized Video: Exploring real-world examples of how businesses across various industries are using personalized videos to create awareness and engage customers.
✅ Taking Cold Outreach to the Next Level: Discover how BHuman's innovative tool, Leader, enables efficient and scalable cold outreach campaigns on LinkedIn, driving impressive results.
✅ Nurturing Customer Relationships: Learn how to recover abandoned carts, provide instant feedback, and develop meaningful customer relationships using personalized videos.

Don Bosco is the founder of BHuman, a pioneering platform that combines AI technology with personalized video messaging to revolutionize customer engagement. With a deep understanding of psychology and marketing, Don has helped numerous businesses scale their human connections through innovative video strategies. 

About Leveraging AI

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Hello and welcome to Leveraging ai. This is Isar Metis, your host, and I've got a fascinating episode for you today we are going to talk to Don Bosco on how to use AI to personalize videos of yourself. So not like an avatar or a deep, fake video, actually you how you can use AI to personalize the messages in those videos to specific individuals. In various steps of the user journey. At the end of the episode, like every episode, I will share some exciting news that happened in the air world this week and now to the fascinating episode about AI video personalization with Don Bosco.

Isar Meitis:

Hello and welcome to Leveraging ai, the podcast that shares practical, ethical ways to leverage ai, improve efficiency, grow your business, and advance your career. This is Isar Matis, your host, and I'm really excited today. And the reason I'm excited is because face-to-face human communication has been a core building block of relationship building, which in return has been the core building block of businesses for generations. The problem with face-to-face communication is that it's very expensive and it's not very efficient, and it's not scalable. You're wasting a lot of time on travel and money. And so the next best thing that we have in our era is video communication. You can now communicate with people through video, which saves you the travel and some of the overhead, but you gotta choose when you use videos, whether you wanna make it really personalized, meaning are you sending this to a specific person in a specific use case with a specific name in a specific scenario, or you make it scalable, meaning I can record a general video to a specific persona and then I can send it to a lot of people, but I cannot do both. at least not until recently. So our guest today, Don Bosco, has founded a company called BHuman Like the Letter B, and then Human. He actually founded it three and a half years ago. So way before the current craze of AI. And what the platform enables you to do, and when I found it a few days ago, it literally blew my mind. It limited you to record a video and then after you recorded an actual video of you personalize specific keyword words and have the AI change what you're actually saying to make it relevant to a person, the name of his company, where is he from? His name changed the background of the video to stuff that's relevant to that person, and it really blew my mind and the opportunities there on multiple aspects of the business started running in my head. So I reached out and Don was nice enough to say yes and be I guess on the podcast. So Don, I'm really excited to have you on the show today. We're going to talk about how to use AI and how to use AI in video personalized in order to boost and enhance multiple steps of a company's user journey, which I think everybody that's listening is gonna find fascinating. So thank you for joining us. Welcome to Leveraging AI

Don Bosco:

ai. Yeah, thank you so much Isar for having me. And I love the way that you introduced Be Human, which starts from the human connection because actually that's the entire reason why I founded the company. It was to solve my own pain point. I was running a lead generation agency and if anyone's done lead generation, you know that it is brutal, right? And it's just the toughest training down you can go through. and so started to work with video and realized that, if I can make a video, say someone's name and talk about their company the way that's relevant, they're gonna think that video was just recorded for them and therefore bringing back that human connection. And that's been our North Star since day one continues to be I love the way you're

Isar Meitis:

thinking about it. Beautiful. By the way, I've done this manually several times in the past, meaning I've recorded myself in a long message. I stayed in the same lighting, same background, same microphone, and then just went and recorded people's names to say, hi, this, hi that, and edited into the beginning of the video. So there's a way to do this manually. It just really time consuming. And if you want to do this for other stuff that is not in right in the beginning, it ver it's very clunky. So really, let's take it from the top. Let's go user journey, step by step and look at different stages of the user journey and how can technology like this or other AI-based technologies can be used in order to boost the results of that particular stage in the user journey.

Don Bosco:

Yeah. the first thing I wanna preface this with is that it's really all about psychology. That's the number one thing. I think that when there's a new technology, something, especially something that has a lot of hyp and craze around it, like AI does right now, there's this tendency to think of it as, okay, this is the hammer that's gonna hit all nails, right? This tool will solve everything. and so you just mindlessly just start hitting places. But really you should look at AI and particularly be human, which is all about human communication as a tool for psychology. Basically, how can I have psychological interactions at scale? Okay. If you look at it that way, what kind of psychological interactions am I trying to have? And you can get really creative with this. So there's an exercise I like to always recommend, to folks who are new, to be human and new, to really applying AI in a practical way that is producing results and not just some sort of flashy thing, right? And, it's involves sitting down and it's one of those things where it's like, you're reading a book and it recommends an exercise and you're like, yeah, okay, I get it. I don't need to do the exercise. But really, I promise you, take 15 minutes on a coffee break and do this. I guarantee you will have some breakthroughs guarantee if you don't let me know. But, basically, so sit down for 30 minutes and look at, think about your, sit down on a blank piece of paper in a pen and think about your customer journey from start to finish. Meaning, what is the experience that your customers go through from first not knowing you exist to, maybe hearing about you or seeing your ad, whatever your acquisition funnel may be, to then, landing on your page and getting educated and so on and so forth, all the way down to becoming an advocate that is now referring you clients and business and. Think about each point along that funnel, and as you do that, you're going to be like, okay, you may start with five points and you really think about it. There's gonna be 25, maybe 30 points there, and that's, it goes really as in-depth as you'd like. And then think about where the friction points are. Meaning where between maybe step seven and step eight, maybe 30% of every of people are dropping off. and why is that? And then think about how AI can supercharge and reduce friction between those steps. So be human, all about personalized videos at scale. So I'll give you, there's, we work in over 17 industries in basically every major language. Across every, almost every continent. so we've seen a huge variety of use cases. Everyone from, the average mid-level marketer at SMB in the US to a politician in Chile to, government, in, let's say somewhere in Asia, right? Like hospital groups. We've seen so many use cases. So it's given us, a lot of inspiration, in terms of how it can be applied. so that's the broad exercise I'd recommend. And as you do that, you'll start to see, okay, for example, I'm driving people from a Google search onto a site where they fill out a form, I fill out the form to get more information. Then they hear back two days later. you'll notice that maybe 60% of people are not responding to that. Reply that you give them two days later, and how can you supercharge that? one example, right? Just to give you an idea and some inspiration, is whenever that form is filled out, you can use one of our integrations with Zapier or Pabli or API to trigger a video of you saying, hey, first name, whatever that first name would be. Hey, Jake. Hey, Paul. Saw I just followed the form requesting a quote. I know you're in Toronto and we actually have a, an office there. Why don't you come in for a chat, right? so you can programmatically have these human. Very psychologically positive experiences that are gonna make the recipient feel really special. Feel impressed that you, they just fell us form 10 minutes ago, and now they're getting a video from you saying their name, writing them in. we had a, we have a car dealership, group of car dealerships doing this in the us and like we have this persona of Lisa. Lisa's always the one responding to Lisa as they come in and she's Hey, I actually, John, I actually have this car sitting in my lap. Why don't you come in, let's have a chat. We can test drive it. And, everyone comes in saying, Hey, I just got a video from Lisa. Lisa asked me to come in. Is she here? Lisa doesn't exist, Lisa's always on lunch break. But, it just shows how people really love it and really

Isar Meitis:

respond to it. I love that. I want to touch on a few things that you mentioned that are, that connect in several different things that I find really Im important in this whole analysis process, because that's like the first stage you're talking about. First thing is understanding your customers is probably the most important part of any business. So the. The exercise you suggested is good for anyone, regardless of anything. Let's sit back, go to 30,000 foot level and really think about where there's friction and who exactly is your customer. What are they trying to do when in that journey, there's things you want to do that doesn't really align with what they want to do, and then how do you make it better? nobody likes filling out forms, so is there a way to remove that level of friction? Maybe an a, a video in that page with their name and say, Hey, in the form page. oh, this is really for me. So there's so many ways to, to look at that. That's one thing. The other thing is in general, where to use ai, right? So this is just another AI tool. You said there's like a gazillion of them right now and another gazillion every week or so. So what are the use cases? You want to use AI and you want to use AI where there is either data analysis that needs to be done at scale that humans just are not very good at. we are, but it just takes us a very long time. When there's data prediction required, when there's personalization required, and when it happens on a high frequency, and if you have a bunch of these together, then meaning it's a repetitive process that happens all the time, that requires data analysis and so on, you hit gold. Meaning if you find these cases where you have the data and the data could came from a form could come from your c r m could come from, people entering the data somehow, but you have the data on a specific person and then you have to provide personalized messaging to them to increase whatever results you're trying to increase. Now you have ways to do that by sending personalized, it doesn't have to be video by the way. It could be text messages, could be emails, could be whatever. But you can take the data that you have and apply it in a way that will reduce the friction, build a closer relation, and increase the results of anything that you're basically trying to do. So two very important points. Let's really take some examples on different steps of user journeys. And like you said, multiple industries will be awesome because people are listening up from different industries and try to really analyze how this kind of technology can be applied in order to get better results.

Don Bosco:

Sure, yeah. Yeah. And just to echo what you mentioned there, one trick that has always worked well for me, in fact this is what led me to coming up with the idea for BHuman some three plus years ago, is thinking what is the, imagining that I had all the resources in the world, right? Imagining there was just one customer wanted to win, like what would I do to win that customer, right? And my life depended on it. I had to win the customer, right? Think about the experience they would receive and then take that as, okay, this is what will happen now. Then walk back to how can you practically make that happen at scale. that's been a nice little trick for me. That's always worked. I recommend that. In terms of the use cases, I mean, yeah, very, very broad ranging. I'll just run through some examples, just to, and let me know if

Isar Meitis:

anything Yeah. and really, let's try to go by order. So let's start with awareness. nobody knows that I exist. Sure. But because I think that's the hardest part, right? Because then it's not personalized because I don't know who the person is. So what use cases in the awareness stage you've seen people do in order to create awareness using this kind of tool?

Don Bosco:

Yeah. Yeah. Okay. So in terms of, especially looking at b2b, right? It's, so you're doing cold outreach, right? we actually have a tool we just released called Leader, which is a app within the BHuman platform. And what that does is it enables you to go into LinkedIn, search for any audience you want, let's say, marketing managers in New York who are in retail, right? Okay. Search, come back to BHuman. Put that search url, the link that you just searched for, put that into BHuman. and then you can select, you can create a video or select a video we already have on our template store. so for example, hey name, this is Dawn from software.com, whatever it might be. I saw that you're a manager and you're working in retail. we have an office in New York and I have some, the tool I wanna show you. I'm wondering if I could maybe come in and can have a cup of coffee and I can show you this tool, how it's gonna make your life amazing. Then all you have to do is just hit start. And essentially what'll happen is immediately AI videos will start being created for who appeared on that audience list and generated. So we're changing what you're saying in those videos and then sent out to all those people each and every day in an ongoing fashion. So you just set it up once and you just watch leads roll in. For any b2b use case that is, I'd recommend that for cold outreach. And the reason why we built that in the beginning, and this is we've been building this tool leader for over a year now, and it actually just was released yesterday.

Isar Meitis:

So we're very excited for it. Woo, congratulations. And it sounds awesome, by the way. It's like a really cool automation process that otherwise people probably would. Have done manually with your tool anyway.

Don Bosco:

Exactly. Exact, that's the exact point. Any outbound campaign, is three things. It's data, it's content and distribution. So think of a three-legged stool. If any of those legs are broken, everything falls apart. I design this because I've run so many outreach campaigns in the past myself for clients, and I know how painful it can be. And so this is basically designed the least painful possible way to do it at scale that's reliable. It doesn't give you a headache every day. and so on the data side, you're getting it from LinkedIn so you don't have to scrape, you don't have to find verified email addresses, all that stuff. It's all on LinkedIn. So that's solved. Content, of course, personalized video. This is in our experience. and you can ask anyone in marketing who's played with video. Personalized video just performs better than text. Any given day all the time. So that's content. And then distribution. This is where things really get tripped up, because even if you make the best videos possible, you have the best data possible if your emails go to spam, right? You might as well just gone to the beach that day and even, not even tried. The nice thing about LinkedIn is about, according to, I mean there's really no way to know this, but according to research rates, benchmarks out there, about 70% of LinkedIn messages get opened and viewed, right? Which is a fantastic open rate. You look at email and you're happy with a 30% open rate is great, right? and then the beautiful thing about it is, unlike email, you don't have to think about, oh, I, and you don't have to watch the delivery rates and maybe stop the campaign and start it, right? LinkedIn just runs. so we designed it to be the easiest possible plug and play solution for cold outreach, which is a really big segment of our user base because a lot of our users are B2B and they're, wanting to start that initial funnel. and then in terms of the B2C side, we've seen a couple interesting things here. So usually it starts from social media. So someone will start a. Giveaway sort of campaign or you have to tag friends to, win and give away. Let's say it's like a local business or restaurant, something like that. what they'll do is they'll collect phone numbers and this is really key. So I said that LinkedIn open rate is 70%. That's phenomenal. phone number, open rate is anywhere between 95 to 98%. Like text messages. Text messages, exactly right. Yeah. Messages. and We've seen this work really well where business will essentially find any reason possible to collect phone numbers of people in the area, right? And have their permission, of course, to, to send them a message. Then what they'll do is they'll have, like in the case of a restaurant, there's actually a really nice video I saw of a user doing this as a chef, and he was in the kitchen and he generated a video saying, Hey, name, this is blah, blah, blah from blah, blah, blah restaurant. I wanna let you know that, we're having an event on Tuesday, we're launching this new menu. I don't remember exactly what the special was, but there was some sort of really enticing special and, he said, I saw you enter the giveaway and I just, chose out a name and I want you to come down. And have a free plate on us. And that's just habitual. Them getting to them to come into the restaurant, love the food, and then they're, a loyal customer. And because that was sent out our s m s because it was local, because it was a name they've heard before, a restaurant around town, it worked phenomenally well. so that's very top of the funnel. B2b, b2c, nobody knows you. What, how do you start? Those are two plays that I've seen

Isar Meitis:

work really well. Amazing. By the way. I'm gonna jump, I know I said I wanna go step by step, but just in my head, just click something else because it connected to what I said before about having data about things and how do you collect it. Just think about any kind of business, whether B2B or b2c. And you had connections with specific either clients or potential clients and stuff about them. but they disappeared. Like one of those, they became a cold lead and you don't know what to do with them. This is an incredible tool to dig through that data and then send those. Personalized messages. Again, if you have their phone, even better. But think about that restaurant and somebody that was a regular or that chosen several times, and you know what they order. Because you can see in, in your checkout, okay, this guy always orders the pasta ez. And he's been here five times in the last six months, but I haven't seen him for three months. They can say, Hey, hey, SHA or Gina or whoever, we haven't seen you in a few months. That poll is really waiting for you have one with your name on it. Just come in. And you can do that with these kind of tools today just by digging through data in your CRM building, an automation that will pull this data up and will automatically create these things. And it's. Absolutely mind blowing. It's something going back to what you said in the beginning, Dawn, it's something you would really like to do and you won't do it just because it's so time consuming, it's going to work and now there's a way to do that. So now that I totally destroyed my own rule of let's go step by step, let's go back to step by step. And now you have awareness, what's the next step that people use this for?

Don Bosco:

on that note, before we go back to the being in order, we've had a lot of gyms use us, or that's the exact thing when someone hasn't been in the gym for let's say one or two weeks, They'll get a message from a face they know at the front desk or trainer. yeah. Jim, what are you doing? It's been two weeks. get your butt in here. we're waiting for you. Where are you? and that, that works very well. but, okay. Yeah, coming back to where we were, so in terms of once they're in the funnel, top of the funnel, what's the next step? Yeah. Okay, sure. So you have some interest right. Someone is curious. Now it's all about, usually, of course it depends on your business and your funnel, but usually now it's about education, right? Showing them, enticing them. so there are a lot of ways to do this. I'll pull up a, a real estate example I've seen that's been interesting. there's a, a group of apartments that are owned by a single individual and he rents'em out usually to students. And what I've seen him do is when someone is interested, and by the way, this is all through WhatsApp, so his flow was, starting on Instagram. So it's kinda like a B to C use case, you could say, right? These are students, so Instagram, getting followers, in different ways. and then once someone is interested, I say, great, let's chat on WhatsApp. I can send you a tour of the apartment. And then what he does is, let's just say there are 10 different apartments, right? He is renting out for like short-term periods, a couple months. So is this happening often? what he does is he'll have someone do a personalized walkthrough tour of the apartment. So selfie style video holding up the phone. Very natural, very casual looking, Hey name, this is Don, with blah blah la I heard that you're interested in a place here in city, whatever that city would be. why don't I give you a quick tour? So then they basically just, turn the phone around and just start giving a tour of the apartment. and also helps the, the actor is really friendly and energetic and it's someone they would wanna, hang out with. Cause they're students, right? And so they're in a new city for Erasmus, right? and that's worked phenomenally well because there's that. Instant human connection going, what's this? Okay. It's an Instagram page. I'm looking for a place to, okay, now I feel like I have a friend in this new city I just moved to. yeah, I've seen that work, really well. and then, thinking about other

Isar Meitis:

industries we have, I wanna pause you for one second because I think there's an underlying thing here that connects just to solid marketing and like you said, solid psychology that has to be a part of this when you're planning these kind of things, which is you gotta pick the right persona to attract the right audience to do the thing you want them to do. So the two examples that you gave are really cool. Guy or gal that is a college student that's showing you around an apartment in the city you just moved into is awesome to attracting other people to come into that apartment complex. Having a really cool chick, trying to attract people to come and buy a car, which usually is gonna be a male person buying a car, I assume. And so having that, Chick say, Hey, I have this car on the lot. Come check it out. We'll get more people to come in than an old fat dude with a non-safe beard. It's just human psychology. So again, if you understand your target audience and you understand what's gonna build that connection and you use an actor or somebody from the company, and like you said, in, in many cases it can be as easy, the sometimes the best videos, especially these kind of videos that are personal, the less professional they are, they better. You wanna make them look casual. Like literally, when I saw your tool, the first thing I thought about, this is crazy. I can walk my dog in the street, grab my phone, film a thing, and it looks completely authentic. Like it doesn't look professionally produced, which means there's a less chance. People think that there's some kind of a trick behind this that I made this at scale because it's just me walking my dog say, Hey, I'm just walking my dog. I thought about you, blah, blah, blah. You gotta figure out what's gonna build that connection with the target audience. Pick that particular person, that particular scenario, that particular topic you wanna raise and that's gonna build. So the tool is just a tool core. Good marketing and psychology, thinking behind it has to happen regardless. But, sorry, I stopped you. You had another use case

Don Bosco:

you wanted to share. Spot on. Spot on. And I've had one of our best campaigns ever for, for us internally, literally on that street right there, walking with a cup of coffee going down the street saying, Hey man, just head to the office and sent from me a friend sent me your LinkedIn, thought I'd reach out with a little impromptu video message, go on with the pitch. And all of the examples I gave during this entire podcast could have been done the same sort of step in the customer journey. They could have been done with low energy, just bad, just not bringing your best to the table. And you would still have AI at work, but it, the results wouldn't be good. So you're absolutely right. Like psychol, that's what I'm, like I said at the start, like psychology is really the product here at the foundation, the thing AI is just enabling that to be possible. Yeah. we've even had people request like more larger enterprises, for example, an insurance companies say, Hey, for anyone who is, let's say between the ages of 25 and 35, who don't, they don't have kids and they're in this sort of persona group. We want to use this actor for anyone who's over 65, we wanna use that actor. Yeah. And, totally doable. yeah, but so next step in the customer journey after that, is round, hopefully, the purchase time, right? Yeah. And yeah. Yeah. one interesting thing we've seen here is, so abandoned cart is a really big problem in e-commerce. Yeah. in fact, 80% of all e-commerce business is lost due to abandoned cart, which is crazy if you think about that number, how many people you've spent money to bring them to the checkout page and you just lose'em. 80% of them. So what we've seen people start to do, you just start to do on BHuman is generate, abandoned cart recovery videos. So whenever someone is, let's say shopping on shop your Shopify store, and they abandon cart that triggers BHuman through, let's say a Zapier flow, they set up. it's a generate a video that says something like, Hey, name, I saw you're looking at products. My name is Don, the, creator at store.com I actually was part of the design process for that product. And here, let me show you and you can actually, show the product right there and perhaps describe it, talk about how great it is, and then offer some sort of discount, to help make the decision easier for you. I just threw in 10% off or, I see you're a new customer, so I'd love to give you a little gift. So once you order, I'll throw something special in there for you. And that gets sent out a couple minutes after they abandoned cart. So that's, momentum is highest. They were just considering buying that, right? So yeah. Better to hit them right then than two days later when they're already thinking about something else. so if they don't actually complete the purchase, that's a really valuable thing to do. you capture that intent to see where they are and see what they need to get to that next step bring'em over the finish line. and then of course, once they do order, Be it, for e-commerce or anything else, developing the relationship. you just invested in something you want, ideally some sort of instant feedback, right? So some sort of thank you video, like next steps video. We've seen that work really well with customer success and like software sales, across different platforms that use bhu. so people feel like they're taken care of, right? They're just not okay, thanks for your credit card. Good luck.

Isar Meitis:

Yeah. I love this. I think these are really awesome. I wanna mention something specific about the platform that really caught my attention because, I, first, I'm a tech geek and I'm a CEO of a company and I consult to companies on how to implement this kind of technology. There's really a lot of thought in the product on how to really help personalize things. So as an example, BHuman allows you to create a CSV file or shortly, as I understand, connect straight to Google Sheets, but it doesn't matter. You can create a table with all the personalization data and have the videos be created using that data. So all the different parameters you want to have in a video, like first name, like location, like phone number, name of product, like any kind of stuff like that you want to have is incredibly easy to generate. And then have that a part of the videos that you create, which again allows you to create videos that are custom tailored to a specific scenario, to a specific thing. Now, I'll say something that is somewhat contradicting to this. There are other platforms out there today that allow you to create the videos out of thin air with Digital avatars. And the benefit of those platforms is that you don't have to record a video at all. there's, you just grab a text and the text can be even generated by ChatGPT or Bard or anything, and you drop it in there and you can create a thousand videos in about five seconds without recording anything. The use cases for that are, I think, very different because these avatars still don't look human. Like it's getting better. It's okay. It will be great to use these platforms for things like, FAQs. So somebody explaining different things that are happening, or questions that people have or do a walkthrough of a software product where it's just constantly changing and you don't wanna record a new video every three days when you launch a new version of your product. But when it comes to creating a human connection, that real video, and again, the more, the less polished it is, the more connection you're gonna get because people would really think you're connecting with them. For that, for all of those use cases, those avatars are still not good. They're just not there yet. Will they be there? maybe. I don't know, probably, but as of right now, it's not there yet. And having an actual person having a video and is, makes a very big difference. So I think there's room in your world of building your AI tech stack for both these kind of solutions for different use cases.

Don Bosco:

Yeah. Yeah, that's a great point. And we've watched, we've been in this space for a while, really. And we've watched the market evolve and develop, and like you said, there's. More than I could ever know at count. There's so many platforms out that, that lighter, that text to video, and it's really impressive technology. But like you said, our North Star has always been human connections at scale. And that's informed literally everything from how we do our engineering to how we do customer service. and so yeah, you're, you're exactly right. it can be useful, right? If you need to make a presentation and it's late and it's due in the morning and you don't want to film. Definitely. and, you don't need to make it look like you actually filmed it. Absolutely. our use cases are more like that sort of ongoing customer journey interaction.

Isar Meitis:

Yeah. No, absolutely. I, like I said, I definitely see a room for both in different use cases, for different purposes with different needs with lymph mutation. So there's definitely room for a lot of them. But in general, I think the ability to, and I'm going back to how you started, because I think that's the key of all of it. It has to do with. Good understanding of where your customer is in their journey. What do they want and need in that step of the journey? And how can you use AI tools to create personalization at scale, in order to help them through that journey in the, with the least friction? And this is really one tool that helps solve it in a very, unique way. Don, this was a great conversation. I think we touched on a lot of important stuff, both in theory as well and in practicality how it can be implemented if people wanna follow you, learn from you, work with you, what are the best ways to do

Don Bosco:

that? Yeah, you can find us basically on any platform, LinkedIn, Instagram, Twitter, TikTok, even Look, search for be human, just letter B, and then human or visitor site, bhuman.ai. Go sign up. If you hear this interview and do sign up, send me an email and, I'll throw in a little discount for your first month as a friend of Isar and, help you get started. And you can email at Don, don

Isar Meitis:

bhuman.Ai. Dawn, thank you so much. This was absolutely awesome. I appreciate you taking the time.

Don Bosco:

Thanks a lot. Appreciate it.

What a great episode with Don. I really enjoyed talking to him. We covered so many potential use cases and in my head I've got probably 50 more and you probably have your own, so go check it out. I think it's a really interesting, unique way to use AI in order to create human. Personalization connection, which is probably the best combination of AI and human. And now to some news from this week. There's been multiple exciting news and interesting news in the past week or so. First of all, anthropic introduced Claude 2. Claude is like ChatGPT. It's another large language model. Anthropic is one of the leading suppliers, and they just announced that Claude two, their second version, is now available to the public. Different than ChatGPT and OpenAI. Anthropic has built their large language model around what they call constitutional ai, which is basically, I. A set of principles that allows you to keep the right judgment and make the right calls in things that we humans actually care about, which is supposed to make it safer to use as well as less bias and so on. So remove some of the negative aspects of ai. When I heard about it the first time, it takes me back to Isaac Asimov's books with the Rules for robots. Kind of like the same concept. There's a set of rules that it will never break because it's built into the core architecture of how it operates, but now that's now available to the public and it actually beats ChatGPT on many different tests. So it's worth checking it out as an alternative on various aspects of what you're doing with generative ai. Another large US based company that announced something interesting is stable diffusion, which announced stable doodle, which allows you to scribble something, doodle something on a piece of paper, and turn that into an actual image, which is another cool way to use AI if you're not a great. Artist and you still want to create interesting things just based on your sketches. In parallel to that, another news from the US is that Hollywood writers has been on strike for a while now. Some of it is because their fear of AI taking their job, and now the. Actors Union has joined them in an act to completely change the way money is distributed in Hollywood. This is not completely related to ai, but some of it is really the fear of AI being involved more and more in the creation of movies, which will take away from the part enhance the pay of human actors and human script writers. Now, let's start going a little bit outside of the US. Google finally made Bard available in the European Union. Going from us in the EU into China, China announced their interim laws to guide generative ai, and they have touched on multiple, multiple aspects of how AI should be controlled in China. They have touched on things on how data can be collected, the fact that if personal information is collected, it has to be approved by each user they've also put the legal burden on the developers of AI platforms on negative outcomes of people using the platform, which means they have to monitor how people are actually using it and then prevent them from using it for negative things, as well as forcing them to report them on specific aspects of negative usage. I find the set of rules, despite the fact that they have some negative aspects to it, such as socialism has to be in the forefront of all of this. If I ignore that part of bias in the rules that they've said, I actually think that the set of rules, or at least the summaries that I had access to translated to English make a lot of sense because they put a lot of responsibility on the developing company to make sure they put guardrails as well as tracking and reporting systems on how AI is developed, how data is collected, and what are the usages. I really hope that we'll start seeing laws like that in the US and everywhere else around the world as well. And one last big piece of news from this week is that Elon Musk just launched his company x.ai. As you probably know, Elon has been involved with AI for a very long time. He was one of the founders of OpenAI, the company that eventually gave us ChatGPT. He left the board, after some major disagreements with the current leadership, but he just launched his own company. He was able to bring over to his company, some of the leading researchers from both OpenAI and Google and probably some other places. So some really big names are joining him. He is doing this in his words, to understand the universe and do bigger things. Knowing Elon Musk, he doesn't do anything small, so I expect to see some big things coming from x.ai sometime in the short to medium future. That's it for this week. Keep on exploring ai, test things out, share what you find with me on LinkedIn. I love when you reach out to me and give me tips and ideas or feedback on the podcast. A week after this podcast comes out, so on the week, on the 26th to the 28th of July. I'm going to attend MAICON, which is the marketing AI conference in Cleveland. So if you're going to be there, please reach out to me. I would love to get to know you and see if we can cooperate somehow in the future. And until next time, have an amazing week.