AI's Biggest Gap: Why Predicting the Future is Key!

Hi, I'm Amy Shapiro, a journalist at Hi, I'm Amy Shapiro, a journalist at CEKE and we're here today at Mind the CEKE and we're here today at Mind the CEKE and we're here today at Mind the Tech London 2025. Uh we're joined by Tech London 2025. Uh we're joined by Tech London 2025. Uh we're joined by Zoha Broadsman, the CEO of Peak AI. Zoha Broadsman, the CEO of Peak AI. Zoha Broadsman, the CEO of Peak AI. Zoha, thank you so much for joining us Zoha, thank you so much for joining us Zoha, thank you so much for joining us today. today. today. >> Hi Amy, it's my pleasure. >> Hi Amy, it's my pleasure. >> Hi Amy, it's my pleasure. >> Pleasure to have you. So uh to start us >> Pleasure to have you. So uh to start us >> Pleasure to have you. So uh to start us off, could you explain what it is that off, could you explain what it is that off, could you explain what it is that Pin AI does? Pin AI does?

Pin AI does? >> Of course. Pin AI does predictive AI. So >> Of course. Pin AI does predictive AI. So >> Of course. Pin AI does predictive AI. So unlike many other AI technologies out unlike many other AI technologies out unlike many other AI technologies out there, Pacin Technology specializes in there, Pacin Technology specializes in there, Pacin Technology specializes in helping businesses become predictive, helping businesses become predictive, helping businesses become predictive, kind of taking their historical data and kind of taking their historical data and kind of taking their historical data and asking questions about future business asking questions about future business asking questions about future business outcomes. outcomes. outcomes. >> What are my customers going to do? How >> What are my customers going to do? How >> What are my customers going to do? How are my revenue going to look like? What are my revenue going to look like? What are my revenue going to look like? What constraints am I going to see in my constraints am I going to see in my constraints am I going to see in my supply chain? any question that a supply chain? any question that a supply chain? any question that a business could have wanted to ask about business could have wanted to ask about business could have wanted to ask about their future so that they can act their future so that they can act their future so that they can act accordingly in advance. accordingly in advance. accordingly in advance. >> That's so interesting. So, so in terms

>> That's so interesting. So, so in terms >> That's so interesting. So, so in terms of like the gap in the market or in of like the gap in the market or in of like the gap in the market or in layman's terms the solution that you're layman's terms the solution that you're layman's terms the solution that you're offering uh how would you describe offering uh how would you describe offering uh how would you describe describe it? describe it? describe it? >> Yeah, I would say you know many >> Yeah, I would say you know many >> Yeah, I would say you know many businesses gather a ton of data and it's businesses gather a ton of data and it's businesses gather a ton of data and it's very important aspect of their strategy very important aspect of their strategy very important aspect of their strategy and differentiation. Every business has and differentiation. Every business has and differentiation. Every business has their own story and their own data. their own story and their own data. their own story and their own data. >> Mhm. But our naked human eye can't >> Mhm. But our naked human eye can't >> Mhm. But our naked human eye can't really make a lot of sense of that data. really make a lot of sense of that data. really make a lot of sense of that data. There's so much data. We can't really There's so much data. We can't really There's so much data. We can't really understand what it really tells us about understand what it really tells us about understand what it really tells us about our business. our business. our business. >> The ability to crunch all of that into >> The ability to crunch all of that into >> The ability to crunch all of that into AI and get out of the AI clear answers AI and get out of the AI clear answers AI and get out of the AI clear answers about what's going to happen is one of about what's going to happen is one of about what's going to happen is one of the biggest gaps we're trying to fill. the biggest gaps we're trying to fill. the biggest gaps we're trying to fill. Mhm. And so someone who's actively in

Mhm. And so someone who's actively in Mhm. And so someone who's actively in this space, I'm interested to hear your this space, I'm interested to hear your this space, I'm interested to hear your opinion about whether uh Israel is is opinion about whether uh Israel is is opinion about whether uh Israel is is behind lagging at all when it comes to behind lagging at all when it comes to behind lagging at all when it comes to the AI uh revolution and if so, what the AI uh revolution and if so, what the AI uh revolution and if so, what what the local industry needs to do to what the local industry needs to do to what the local industry needs to do to kind of uh really participate in this kind of uh really participate in this kind of uh really participate in this glo global arms race. glo global arms race. glo global arms race. >> I wouldn't say we are behind. I think >> I wouldn't say we are behind. I think >> I wouldn't say we are behind. I think the Israeli talent, R&D, engineering, the Israeli talent, R&D, engineering, the Israeli talent, R&D, engineering, understanding conceptually, understanding conceptually, understanding conceptually, scientifically what AI can and can't do scientifically what AI can and can't do scientifically what AI can and can't do and what it can be used for, I think and what it can be used for, I think and what it can be used for, I think we're quite ahead. we're quite ahead. we're quite ahead. >> Mhm. >> Mhm. >> Mhm. >> When it comes to pure infrastructure, >> When it comes to pure infrastructure, >> When it comes to pure infrastructure, especially in the aspect of AI that especially in the aspect of AI that especially in the aspect of AI that requires very large models that are requires very large models that are requires very large models that are extremely expensive to train and to use. extremely expensive to train and to use. extremely expensive to train and to use. Here, we could have been a little bit Here, we could have been a little bit Here, we could have been a little bit more ahead. It's very hard to maintain more ahead. It's very hard to maintain more ahead. It's very hard to maintain these costs over time. But other than these costs over time. But other than these costs over time. But other than that, in other aspects, we're actually that, in other aspects, we're actually that, in other aspects, we're actually in a very good place. in a very good place. in a very good place. >> And for you, what trends in AI are you

>> And for you, what trends in AI are you >> And for you, what trends in AI are you most excited about? most excited about? most excited about? The The The initial hype that we saw with AI a initial hype that we saw with AI a initial hype that we saw with AI a couple of years ago where companies and couple of years ago where companies and couple of years ago where companies and individuals were so intrigued individuals were so intrigued individuals were so intrigued by the magic that AI shows us has now by the magic that AI shows us has now by the magic that AI shows us has now kind of transformed and evolved into kind of transformed and evolved into kind of transformed and evolved into real search for a return on investment. real search for a return on investment. real search for a return on investment. Mhm. Mhm. Mhm. >> Companies now are asking, I want to make >> Companies now are asking, I want to make >> Companies now are asking, I want to make an investment in AI and I want to make an investment in AI and I want to make an investment in AI and I want to make an investment that will pay off in the an investment that will pay off in the an investment that will pay off in the immediate term. Where can I see real immediate term. Where can I see real immediate term. Where can I see real business outcomes? And this is an business outcomes? And this is an business outcomes? And this is an amazing trend for all of us amazing trend for all of us amazing trend for all of us entrepreneurs because that's our entrepreneurs because that's our entrepreneurs because that's our business. We want to leverage AI in a business. We want to leverage AI in a business. We want to leverage AI in a way that really helps companies achieve way that really helps companies achieve way that really helps companies achieve their goals.

their goals. their goals. >> And and what about the doomsdayers or >> And and what about the doomsdayers or >> And and what about the doomsdayers or the naysayers who are afraid that AI is the naysayers who are afraid that AI is the naysayers who are afraid that AI is coming to take all our jobs? So what's coming to take all our jobs? So what's coming to take all our jobs? So what's your opinion there? your opinion there? your opinion there? >> I I actually hold a very optimistic >> I I actually hold a very optimistic >> I I actually hold a very optimistic opinion here. I don't think AI will opinion here. I don't think AI will opinion here. I don't think AI will really replace jobs of any kind. I think really replace jobs of any kind. I think really replace jobs of any kind. I think we'll see shift and transformation of we'll see shift and transformation of we'll see shift and transformation of what is being required from people. But what is being required from people. But what is being required from people. But in most cases, you still need a human in in most cases, you still need a human in in most cases, you still need a human in the loop. And on the contrary, AI will the loop. And on the contrary, AI will the loop. And on the contrary, AI will actually create a lot of additional new actually create a lot of additional new actually create a lot of additional new avenues for individuals to be productive avenues for individuals to be productive avenues for individuals to be productive in the company or in any other setting in the company or in any other setting in the company or in any other setting they work in. So for example, if we come they work in. So for example, if we come they work in. So for example, if we come back to the predictive AI, the idea here back to the predictive AI, the idea here back to the predictive AI, the idea here is that pin makes other individuals who is that pin makes other individuals who is that pin makes other individuals who can't really build AI on their own start can't really build AI on their own start can't really build AI on their own start generating business predictions. So generating business predictions. So generating business predictions. So think about it. every person who's now think about it. every person who's now think about it. every person who's now working at a company can plug in their working at a company can plug in their working at a company can plug in their data and all of the sudden see data and all of the sudden see data and all of the sudden see predictions about the business. It's a predictions about the business. It's a predictions about the business. It's a real empowerment rather than making real empowerment rather than making real empowerment rather than making people obsolete so to speak. people obsolete so to speak. people obsolete so to speak. >> Right. Fantastic. So, so finally looking >> Right. Fantastic. So, so finally looking >> Right. Fantastic. So, so finally looking forward uh looking ahead what what are forward uh looking ahead what what are forward uh looking ahead what what are things that you're working on that things that you're working on that things that you're working on that you're most excited about and what's you're most excited about and what's you're most excited about and what's next and AI?

next and AI? next and AI? >> For pick and AI, I would say we are in >> For pick and AI, I would say we are in >> For pick and AI, I would say we are in the uh real cycle of growing extremely the uh real cycle of growing extremely the uh real cycle of growing extremely fast. Everyone in the company heads are fast. Everyone in the company heads are fast. Everyone in the company heads are spinning and we are trying to help all spinning and we are trying to help all spinning and we are trying to help all of our customers realize value as fast of our customers realize value as fast of our customers realize value as fast as pos possible and that means we need as pos possible and that means we need as pos possible and that means we need to invest a lot in R&D to make the AI to invest a lot in R&D to make the AI to invest a lot in R&D to make the AI more reliable and more robust. It means more reliable and more robust. It means more reliable and more robust. It means we have to invest in go to market and we have to invest in go to market and we have to invest in go to market and expand to every other region that is expand to every other region that is expand to every other region that is relevant. So uh there's a lot of work relevant. So uh there's a lot of work relevant. So uh there's a lot of work ahead of us ahead of us ahead of us >> right well I'm very excited to see what

>> right well I'm very excited to see what >> right well I'm very excited to see what comes of peak and AI and thank you so comes of peak and AI and thank you so comes of peak and AI and thank you so much SA for your time. much SA for your time. much SA for your time. >> Thank you for inviting me Amy. of the >> Thank you for inviting me Amy. of the >> Thank you for inviting me Amy. of the First Avenue.