G(ai)teways in F&B: AI as a watershed moment from ideation to marketing

Jacques Botbol, CMO (Tastewise), and Ilana Ryder Schnytzer, Director, of Product Marketing (Tastewise) are career marketers in the AI and food & beverage spaces, respectively. In this conversation, attendees will learn how generative AI revolutionizes the food and beverage industry by enhancing speed, scalability, and efficiency in product development and marketing. The session will feature a collaborative discussion on the before-and-after impact of AI implementation, showcasing tangible improvements in business performance through specific metrics and real-world examples.

Jacques Botbol, CMO (Tastewise)

Ilana Ryder Schnytzer, Director, of Product Marketing (Tastewise)

[00:00:34]

Lee Brymer: Welcome back everyone to day two of the Generative AI Food Pioneer Summit. My name is Lee Brymer. I’m joined again with Tamar Ben-Dor here, and we’re going to kick off your day with some light content to get you in the mood. We’re so thrilled to have you back.

Tamar Ben-Dor: So, Lee, I’m super curious to learn today. We’ve known each other for so long, but I don’t think I know the answer to this one. What’s your favorite food?

[00:01:00]

Lee Brymer: Oh my gosh. Coming right out of the gate with a tough question, the hard-hitting stuff, everyone. I actually feel very lucky that I’m not allergic to nuts because I am obsessed with all kinds of nuts, peanuts, peanut butter, and not just like in and of itself, but especially in sauces. Like I love using peanut butter in sauces, almond butter, and also using nuts to make my own milk because I’m plant-based myself. So, it’s a good alternative. A very versatile ingredient, and I love myself a nice savory peanut butter sauce. Now, we’re not just here to talk about our favorite food and beverage today. We have another full day of hard-hitting sessions for you to bring you all about practical applications of AI from food service to marketing execution. So, I know we have speakers today from Conagra, Bell Flavors. So, some incredible sessions that really hit you in applications 

[00:02:00]

Lee Brymer: of AI on the marketing, food service, sales side of things. So, I’m really excited.

Tamar Ben-Dor: That sounds so exciting.

Tamar Ben-Dor: Yeah, I’m excited. And for those of you that weren’t with us yesterday or that are new to the Kaltura platform, first of all, welcome. This is our fourth summit and we’re excited to have this one be in the virtual format which allows you guys to interact with us throughout this day sessions. Couple ways you can do that. On the bottom side and on the right side of your screen, there are areas for engagement whether it’s interactions, updates, notifications. We have polls running throughout the day and a section called Q&A where you get to ask us and some of our presenters questions that we’ll get to as well. Let us know what you’re thinking. We’re more than curious to learn what your opinions are, and we’re actually already salivating.

[00:03:00]

Lee Brymer: Yeah, do we have any other peanut butter lovers out there in the crowd today? 

Tamar Ben-Dor: Let us know.

Lee Brymer: Tamar, I’d love for you to tell us about some of the sessions that we have coming up today.

Tamar Ben-Dor: So, today, we have a lot of really interesting sessions. We’re going to be hearing from our Tastewise team with Jacques and Ilana who will be joining us here in the studio. We’ll be hearing from Diego from Tetra Pak and some more kitchen innovations from Maya from Tastewise and also hear a little bit more about how AI inspires label products with Lizzy from Waitrose.

Lee Brymer: Yeah, we have a panel from Waitrose today. So, we’re excited to be joined not just by the innovation team, but also by the chef team. So, we’re learning about the AI’s impact both on the innovation process, but also on how chefs can really leverage it. And so, definitely excited for that session.

Tamar Ben-Dor: It’s just mind-blowing how AI applications transcend boundaries and can really be applied everywhere in the world of 

[00:04:00]

food and beverage. We’re so excited to bring that all to the table today literally and figuratively.

Lee Brymer: Well, you know what I still hear though, Tamar, and I don’t know if you guys are with me, but I still hear a lot of people have fears of adoption of AI. And I think that a lot of that comes from the, for lack of a better word, ignorance of what the technology can do for you. As we talked about yesterday, AI itself is not the goal. AI is the tool to allow you to achieve your goal better. So, if you can take that mentality and you can apply it to whether you’re in the kitchen, whether you’re a marketer or even like a sales rep, a field sales representative out in the field saying like, “I have my way of doing things, I have my skill, my acumen, but now I have this tool at my fingertips that I can use to amplify myself to do more without having to do much more” for lack of a better word.

[00:05:00]

Tamar Ben-Dor: Yeah, absolutely. A tool that I love leveraging is Gong, which not only has AI summaries, but also provides follow-ups with suggestions, even AI-generated follow-up emails that I have to review very quickly before sending over, but 90% of the time, it’s very accurate even to the point where it reminds me of things that I didn’t notice that happened during calls. 

Lee Brymer: Like we are human after all, right? So, we do forget things and we need to remember that this technology can really empower us and be our friend. So, I think that’s a great example. Gong, the tool that she was mentioning by the way, great company. Some of the things that I’d actually be 

[00:06:00]

interested to hear for our sessions today back and forth is something about the talk ratio as well. So, when you’re interviewing someone, when you’re on a discovery call or even just think about it talking to your best friend on the phone, you want to make sure that there’s that right ratio between how am I asking the questions to get the information that I want. So, that’s a feature that I love about it and one of the ways that, yes, this technology is listening to you, it’s analyzing you, it’s maybe even suggesting things that you can do better, but it’s there to help you in the end of the day.

Tamar Ben-Dor: What about you, Lee? Tell us more from the marketing side. What AI tool do you love leveraging?

Lee Brymer: Okay. So, for me, I feel like there are many leaders in the gen AI game right now. Two of the biggest ones are of course Google with their tool Gemini. We also have Open AI with their whole suite of tools as well. So, for me, I use GPT-4, so one of Open AI’s tools, and what I love is I can create different personas for different purposes. 

[00:07:00]

Lee Brymer: So, I can create a content marketer or I can create a marketing design adviser or a CMO or even someone that we’re speaking to like the persona of the people that we’re marketing to. I can train that persona on huge amounts of data. I can put in testimonials, videos, texts, documents, everything so that this GPT is trained to become this specific persona. Then from there, the way that I’m interacting with the tool is I’m interacting with that specific persona on the GPT. So, I have that conversational back and forth, but with an actual persona. So, not just like the general Chat GPT, but like my specific persona.

Tamar Ben-Dor: Wow. Even as a host on our annual Gen AI Food Pioneer Summit, I learned something new here with Lee. Wow, that is incredible. 

Lee Brymer: Also, I saw a really funny clip the other day. It was Open AI and specifically Chat GPT came out with the mobile app, the talk feature. 

[00:08:00]

Lee Brymer:  So, like you tap your phone, you talk to it, and it responds to you in a conversation format. And I saw this really funny video of two phones together with the Open AI app and it said they tapped both of them at the same time and said, “Hello.” One of them caught it, and then they said, “Oh, can you tell me that again?” And then, they started to have a conversation with each other and it just went on in circles. And it was not fluff. It was like, “Tell me something that you’ve learned recently this week,” and it said, “Something that really is inspiring me is like the specifics of quantum mechanics in computing.” “Oh, what specifically about that is inspiring you?” And then, it tells what it learned this week. And then, it goes back and forth. And since they’re trained on the same large-language model, it has like the same subset of information. So, it was like the people who created the video ultimately had to like close it because really it could just keep going. So, I think

[00:09:00]

Lee Brymer: that that’s a funny sort of hack in technology.

Tamar Ben-Dor:  I am so beyond mind-blown right now.

Lee Brymer: Well, don’t be mind-blown by me. We have incredible sessions coming up for you today. I want to tell you a little bit more for those of us just joining us make sure you’re writing in the chat, the Q&A. We of course have polls throughout the day. This is our best way to hear from you while the sessions are going on. And of course, I want to introduce a lot of what we have coming up. So, I want to talk about our first session a little bit and what we have planned because we’re going to be inviting some people from the Tastewise team, some really special people, to join us right here in the studio.

Tamar Ben-Dor: My tastebuds are already tingling, Lee, tell me more.

Lee Brymer: So, we’re going to be joined here shortly in the studio by our CMO, Jacques Botbol, and our director of product marketing, Ilana Ryder, and both of them are going to share their personal experiences with AI and how it was impacted by the incorporation of 

[00:10:00]

Lee Brymer: generative AI over the last year and a half because both of them in their own fields, Jacques in AI, Ilana more on the product and food product development side of things, interacted with all sorts of technology. But really just in the last year, they’ve been on the other side of gen AI and how it’s helping to incorporate workflows and speed and scale, as well as bring products to market a lot faster. So, I think we can get on with it and get people excited and ready for today’s session. So, let’s do it. 

Lee Brymer: You see a lot of amazing content. So, we’re thrilled to be introducing our first session of today bringing the Tastewise team here to the studio. And without further ado, welcome to day two of the Generative AI Food Pioneers Summit.

[00:11:05]

Jacques Botbol: Thank you very much for that introduction. I’m Jacques Botbol, and we have here Ilana Ryder. We’re going to have really an amazing session. The thing that we’re going to take here today, Ilana, is like a little bit of our weekly meetings where we’re going to laugh a lot most of the time and then 5% of content. 

Ilana Ryder Schnytzer: We can do that. 

Jacques Botbol: So, about myself, some of you may know me from last year as Jimmy Fallon or Graham Norton, but I’m just Jacques Botbol. Actually, I’m the CMO of Tastewise. All my experience in artificial intelligence has been 10 years in this world really from everything that has to do with business intelligence to accessibility and today in food. I’m very excited to be here, and we’re going to have a really great session. 

Ilana Ryder Schnytzer: Really great session. And as Jacques said, great to have you guys. For those of us joining us for the first time and those of you who have already joined us in the past, this is really going to be a great discussion. So, my name is Ilana Ryder, and I work in Tastewise product marketing. 

[00:12:00]

Ilana Ryder Schnytzer: My background and history come from many years of working in food and beverage. So, I always say to the team, “I feel the pain and the excitement that comes with everything that everyone does in the food and beverage world.” And today, I have the privilege of working with so many companies and really bringing that AI into the world, which I think is the most exciting thing of what we do. So, as we get to see sort of companies come from one state where they are to five steps forward into the world of AI. So, we’re sort of going to discuss this today and how we get that moving and how we really manage to generate some AI solutions within companies.

Jacques Botbol: Yeah, and I think you’re a great example of how the two worlds can work. We can merge the best of the two worlds, of the technology and the food. And I think that before we start, we’re going to really speak about what is this AI thing that is like changing? It changed the world last year, and it’s changing every single day even faster. And there is a very 

[00:13:00]

Jacques Botbol: important question that we need to ask, and people a lot of times don’t know that answer, which is, “What is artificial intelligence?” And at the end, everyone needs to know that artificial intelligence is a probability model. And I don’t want to be technical at all, but it means that the better data that you have, the more accurate your answer will be. And this is so important because I can have a lot of data, but if I don’t know how to make sense of it, if it’s not great data, then artificial intelligence will just be artificial. You want to say something?

Ilana Ryder Schnytzer: I think that when we look back, we were going from an age where we had no data. So, every time we wanted to get data, it was researching or gathering it or trying to sort of get answers. And then, we quickly shifted into having so much data that the ability to digest it and do something with it is just beyond comprehension of let’s say the human mind without any additional tool. 

[00:14:00]

Ilana Ryder Schnytzer: So, where AI sort of came into place is really at that. So, once the data became available and out there, how do I manage to make something out of it? To make sense out of so many data points. And so, I think this is why it’s so exciting. We have a lot of companies that sort of come to us at that point where they’re like, “What do I do with this?” There’s a fear of AI I think a little bit. We used to see like a lot of fear I think. And now, we’re getting sort of lot of more openness. AI really is a great tool like once you put it to use.

Jacques Botbol: Yeah. And I think that’s key because if we know that 90% of the data in the world was created in the last two years, it means, “What’s next?” And what’s next in our understanding is not anymore about the data. It’s about what you do with the data. And there is a sentence that the COO of Open AI said, which is, “In the next 12 months, the systems we use today will be so bad that we will laugh about them.” 

Ilana Ryder Schnytzer: True. 

Jacques Botbol: So, that’s how fast AI is moving. That’s how fast the world is moving. And really, the world 

[00:15:00]

Jacques Botbol: moved to a place that AI is changing the way that we produce, that we consume, that we market. And we have so many examples of those that are changing the market, but the question I have for you, “What is the biggest change that this technology is doing, is impacting?”

Ilana Ryder Schnytzer: So, I think the biggest thing is that every challenge of any CPG company or anyone sitting with us today is understanding consumers. So, that’s the biggest challenge on a daily basis because it really is the base to everything we do. We want to understand what a consumer is saying, what are they doing, and that’s what really leads us forward. So, when I look at that challenge and a lot of times we have companies approach us and say, “What’s my next direction? What’s happening with alternative proteins? What’s going to be the next launch I should do in cheese products or in dairy?” So, we’re getting so many questions because everyone wants to know what the audience is saying, but there’s sort of, “How do I approach this? How do I really get that understanding? And how do I 

[00:16:00]

Ilana Ryder Schnytzer: get AI to provide this understanding for me? Because I know it’s out there, I know it’s somewhere. I have my traditional tools of getting there, but how can I get AI to help me? And how does it really affect all of my company?” Because it’s no longer just something that CMI teams do or R&D teams. It’s really across everything that companies do. So, I think that is really that impact in that area of getting the consumer-centric approach across everything that goes on from companies.

Jacques Botbol: Yeah. And it sounds so trivial. At the end, we as an industry, we’re failing.

Ilana Ryder Schnytzer: Yes.

Jacques Botbol: We’re failing. Actually, the majority of the products that we release, I think I saw from Harvard a research that says that more than 89% of the products and campaigns that we release are failing. And it’s because we’re not close to the consumer. We don’t understand how the consumer is behaving. I have a friend — I will say this story because it’s a crazy one — that became a vegan, a vegetarian and a carnivore in three months. So, if the consumer is going so fast, 

[00:17:00]

Jacques Botbol: how our market cannot move so fast? And the question I have for you is like, “So, what are the examples of applications that AI is helping the market? And then please give some also with generative AI.”

Ilana Ryder Schnytzer: For sure. So, I think that the most classic we see is obviously product launches because there’s so much effort and time and money that goes into a launch. Everyone thinks, “The company put this new type of snack up,” but the idea of how you research it and create the flavoring and sample it and question it and survey it and put it through the supply chain and procure it and list it in the supermarket can go on forever. This is like a really lengthy expensive — and by expensive, I don’t mean a few thousand dollars. This is millions of dollars by big companies just to at the end of the end of the day they’ll fail. So, I think that obviously when we are able to nail more specifically what is the right product we want to do and the right time because you mentioned timing. It’s not enough for us now to say this is the trend.

[00:18:00]

Ilana Ryder Schnytzer: In two years’ time, we’ll put a product out to market. It’s not good enough. This is what the audience is trending now. So, it’s either knowing that we’re aiming for a product that’s growing. So, we know and we’re foreseeing that somewhere in that one and a half to two-year radius that we know our company can do will be there or which is the best way using AI to make it through that process a lot quicker and know that we have this trend now and we’re able to go to the market within that six-month period, which is really the goal and what we see companies that work with us actually do, which is amazing. So, I think that that’s one example. And then, we have the most classic example. So, everyday recipes. Like what’s the most engaging things people do? You have a rice product, you want to sell it. I need a rice recipe. What’s the right recipe? Which cuisine should I choose? Which ingredients? And once we use the right ingredients for our recipe ingredients, we’re engaging more audiences. This is what they’re looking for on Instagram. This is what they’re searching for. This is what they’re Googling for. We want to be able to give them all those words so that the recipe they use is the right recipe. And that innately leads to the brand loyalty effect, 

[00:19:00]

Ilana Ryder Schnytzer: to the more purchased, to finding new demand opportunities, to everything which is sort of like our Holy Grail of marketing or product development within companies. And that’s just a touch on the smallest view.

Jacques Botbol: Yeah. And what’s the interesting thing? On all the examples, all the things that you’re saying is the combination the power of the human brain and the AI. And I think that’s something that our industry is missing, that actually AI is not going to substitute anyone today. I cannot foresee the future. I don’t know what will happen in 20 years from now.

Ilana Ryder Schnytzer: They’ll probably subsidize us today.

Jacques Botbol: Exactly. Twenty years from now, I have no idea what will happen. What I know today is that AI won’t substitute anyone, but people utilizing AI will substitute people not utilizing AI. There is a question I always ask people. It’s like, “Are you still utilizing fax? You know a fax machine? Are you still utilizing it?”

Ilana Ryder Schnytzer: I haven’t utilized a fax machine — I wouldn’t know where to find a fax machine even if —

[00:20:00]

Jacques Botbol: Yeah. So, why do we think as an industry that doing the same things that we were doing last year, the output will be different? There’s a very famous quote from Einstein that says that insanity is thinking that doing the same thing will have a different outcome. So, we as an industry, if we want to do things different, we don’t want to fail, we want to be closer to the consumer, we have to evolve the tools that we’re utilizing. We need to evolve also the way that we are working.

Ilana Ryder Schnytzer: One of our partners, Waitrose, actually released just now an AI-inspired menu range for the summer. And the Japanese-inspired sauce range, which was also included.

Jacques Botbol: Yeah. And the key things here is all about the speed. People need to understand that, look, we’re not going to change how big organizations work or their workflows in a day or two. That won’t happen. It takes time. What we can do is make sure that those workflows become faster. 

[00:21:00]

Jacques Botbol: We can decrease the amount of time to value, decrease the time to insight, decrease the time to answer, decrease the time to presentation, decrease the time to concept, decrease the time to inspiration. And the only way that we can do it today is with the help of technology. And the technology that exists today is called generative AI.

Ilana Ryder Schnytzer: I think it also connects to a sort of element of denial. If I go back to when I used to work beverage, television was the hype. Television ads, anyone who did TV, that was it. You had newspaper ads. And when social media came in, there was really a hard time for managers to sort of say, “Wait, this is a whole new media. It’s up and down in a second. I can see results. I can interact with my audiences.” And people in the beginning were saying, “No, no, no. Social media is not going to — let’s wait and see.” So, I think I see a really similar case here with AI that once there is that acceptance and understanding of it’s not a nice to have, it’s not something that I’d like to do, it’s something that all my competitors are doing at this point. And by all, I mean all of them. And the ones who are not within probably I would say the next 12 months 

[00:22:00]

Ilana Ryder Schnytzer: will be doing for sure. And we know this. This is the time for me to really utilize it, embed it and grow together with the technology because there is so much I can do with it and that idea of getting familiar with it, making it your best friend is what’s going to make work so much different. And I think you pressed on that point exactly. It’s quick and it’s speed and it really brings amazing results. And once I think people have it, it’s one of those things you can’t go back.

Jacques Botbol: Yeah, but that’s exactly the point. There are things that we cannot change, and I think that it’s important that we don’t change. Human emotions. We need to keep them and we need to drive and we need to build on them. But there are things that allow us to focus on the right things. The amount of time. For example, if I go to you and tell you, “Hey, which of the following is the most popular health need for the general population, sleep improvement, gut health, stress relief?” what would you do now to answer those questions? 

[00:23:00]

Jacques Botbol: You will do a survey. You will do a report. It will take you six weeks, months. Instead —

Ilana Ryder Schnytzer: And even that assuming I’ll manage to find the results because who’s going to go and say, “Oh, yeah, I really want to be concerned about my gut health,” right? Like you don’t want to discuss that really. So, even if I try to, would I actually get to those results?

Jacques Botbol: Yeah, because people don’t want to tell you that they actually do. Mental wellness. So, how are you answering those things today? And that’s the power of AI. AI allows us to observe, allows us to really analyze what the people are doing. And really, those are amazing questions that you can answer in clicks.

Ilana Ryder Schnytzer: We have a great example with our customer Kellogg’s, which actually decreased their inspiration process from a three-month timeline to a three-day timeline. I always ask, “What do you do now with so much time?” What would you do with your life if you get three months now? What can we do as a company better yeah to invest more where? 

[00:24:00]

Jacques Botbol: And I will help. Tell me something. We speak a lot about generative AI and the different places that it can help us. Can you give me a journey of how would you use generative AI from research to product innovation?

Ilana Ryder Schnytzer: Wow. Where not? It’s funny. You think once upon a time how you used to do it, and I’m sort of thinking if I say it now, you might even not believe it’s real, but we have too many testimonials to say that it is, so I’m going to go for it. So, when we work together with companies, we actually have something that we call from value to product in an hour. So, of course, an hour is sort of what we put together to get an overall idea, but it really is the time you need to really come up with some directions. And if I give you an example, I’ll say — so, if we’re looking for concept searching, which is usually the beginning. So, we’ll look around a bit, we’ll see what’s trending, what’s coming up so that we have areas for example in our platform that we can really I would say within clicks

[00:25:00]

Ilana Ryder Schnytzer: like you said come up with a few directions that we’ll take that already into exploring further. And once we have directions, we can run a survey. Any survey — and I know this is crazy, but you can run a 10-question survey with any questions that you would do in any other survey that would take today five or six weeks to get back or even if you did online, you take two three days. And even then, on 200 respondents, 300 respondents. So, we get millions to survey in no time. Once we have that direction, we go to our generative AI tools, and we’re able to create within really minutes new concepts, create new demand opportunities, engaging content, recipes, blogs, and all of this takes us through really that journey. And at the end of the day, we come up with sort of like a map where we can quantify and say these are the great opportunities we have and this is what we do. And it’s crazy because we can even cross-refer that with other categories, which normally maybe we just stay in ours, but if I’m working on dairy alternatives, I might want to check out what’s going on in dairy as well because there is an impact 

[00:26:00]

Ilana Ryder Schnytzer: on how people consume it. If I’m working on a cuisine and I want to work in a certain geographical area, maybe to see how that’s being affected. So, we have the ability to also deep dive into specifics and come up with a real actionable plan in the end up to by the way the point of really like sales routing all around what we do with AI. So, that is the route. We go in. You can come either to validate something that you have. We might have already seen something and we say, “I know my market is moving into Japanese in terms of sources, but which source should I choose? This is sort of the three ones we mapped. Which one of them?” So, it’s either like sort of coming in and saying, “I’m looking for something,” or really validates something you already have, which is —

Jacques Botbol: Yeah. And I think that the amazing thing of this new world that as a COO of Open AI said we don’t know where will it be in 12 months from now, like the world is moving so fast that we don’t even know where we are, is I call it the parallel worlds moving together. We can now do multiple things in 

[00:27:00]

Jacques Botbol: an accurate manner thanks to generative AI. I can be validating, discovering, and inspiring myself at the same time.

Ilana Ryder Schnytzer: And you can run dozens of projects at the same time whereas once upon a time every team needed time for product. There’s nothing stopping you from especially now our big companies that work in so many categories. Why wait? Why finish one project and start the other? You can definitely multi them all together as I said with AI.

Jacques Botbol: Yeah. And I want to put like I think a sentence that is important for the future, which I think that one of the big things of generative AI is something called agents that we’ll be hearing more and more and more about it from this world and it’s about that ability that we can actually do parallel things at the same time and make sure that we have the most accurate answer in the fastest way possible as many as we can. Tell me like to summarize what are the tricky things or funky things you will tell the audience about generative AI? Where should they start? How should they start? 

[00:28:00]

Jacques Botbol: Why should they start?

Ilana Ryder Schnytzer: No, it’s good. So, it’s a good question. And then, I’ll ask you the same one back. I think today like the first thing is really put the fear away. No one is taking your job tomorrow. It’s not going to happen. There’s no doubt that everyone here today has the best knowledge in terms of their category, their product. But the question I always say is, “Are you managing to your customers? Do you know everything going on there?” So, the first thing is put all inhibitions aside. Be open to it. Be creative to it, and I think that you’ll discover amazing things. And the next thing I would sort of say is try to find first of all which area of the company you’re going to bring AI to. It doesn’t have to be across everyone in the company in one day. Like you said, we don’t expect people to just shift. But there are areas and you definitely want to start integrating that, whether it’s in the marketing team or the CMI team. So, find where AI can already come into your company and bring this massive change all the way by the way to supply chains, which is really interesting aspect for itself. And once you have that established, you’ll really start seeing how it pulls in. 

[00:29:00]

Ilana Ryder Schnytzer: And I think that the next thing you sort of mentioned in a tweak is how we’re going to get AI to work for us is going to be sort of our challenge. And in the very near future, what we’re going to be seeing is that the way AI works together with a company or works together with the user is the way that you ask the questions. And we already see it today on our platform with Taste GPT today, which is really our chat. And chatting with AI and generating things around AI to get you to get what you want is really going to be amazing. But the only person right now who’s going to know how to ask AI that is our expertise, our audience, our CPG workers because they’re the ones to know what to ask and what to do. So, I’m always saying whenever we talk to companies like embrace the journey, enjoy it, take part of it, and really find that way where it brings you value.

Jacques Botbol: On my side, I think that there’s a couple of things that are important. The first thing, it’s very important when 

[00:30:00]

Jacques Botbol: you’re doing this type of project internally externally is to do it with domain experts. And domain experts cannot be only from one world. They have to be from the food world and the AI world because there’s a lot of horizontal solutions, a lot of AI solutions. But at the end, in order for it to fit the workflow specific to the food and beverage market, you need to understand how the AI can fit the workflow. For that, you need domain experts. The second part, I think that the best sentence that we got — one of the best sentences that we got in the last couple of months was from Peter Hull, the president of away from home of Kraft Heinz North America, he said, “Guys, we are failing already, so what does it matter if we make some more mistakes?”

Ilana Ryder Schnytzer: True, very true.

Jacques Botbol: And he didn’t say because he believes that they’re making mistakes. He said it because everyone says, “Fear, fear, fear.” Why fear? Like try it, 

[00:31:00]

Jacques Botbol: invest. AI, we call it the risk-free. The investment is so low to the return that it can provide, the productivity levels that it can provide. So, the first thing is try it. Choose one world. It can be content creation, could be inspiration, could be research. Find the area that will help you to gain productivity substantially. And the third thing is make sure that you’re coming to the process with an open mind because it’s not going to change the workflows, but it’s going to evolve them and that’s what matters to us.

Ilana Ryder Schnytzer: Yeah. Thank you so much, Jacques. I completely agree with everything you said today. I think if it’s to our audience something to summarize a look at the day is look at AI as a tool you take with you and not the goal itself. You want to take AI and really utilize that as what you’re going to do to get to your goals future on. And so, when I look together and I say, “How can this help us?” 

[00:32:00]

Ilana Ryder Schnytzer: AI can really make you the one in the company by bringing it in that can turn this into a more consumer-centric environment. Be the hero of the company. Be the leader. Be the one to bring AI in. I think this is going to be your memorable area and what you’re going to bring into the company for years to come. Thank you so much for joining us today. We hope you enjoyed your session. Stay tuned for the rest of the day. We have some wonderful sessions set out today. And that’s it. Thank you so much.