S3 E3 - Seizing the AI Moment - Data, AI & CX Transformation with Natasha Mohanty

🎙️ Seizing the AI Moment | Ep. [3]
Guest: Natasha Mohanty, Co-Founder & CTO, Prisma AI
Hosts: Filiz Bahmanpour & Margarita Lam | Women in Technology Hollywood (WiTH)

In this episode of Seizing the AI Moment, we sit down with trailblazer Natasha Mohanty—a technology leader with a proven track record across engineering, data, and machine learning. As Co-Founder and CTO of Prisma AI, Natasha has created powerful AI-driven products for global brands like Stripe, Google, and Nielsen Gracenote. She brings her passion for mentorship, creativity, and consumer innovation to this vibrant conversation.

💡 What We Cover in This Episode:

⏩ 1. AI’s Role in Content Discovery & Engagement
Explore how AI is transforming how we discover and interact with content by learning from human emotion and preference.

🎨 2. The Future of AI-Driven Content Creation
Natasha discusses how AI empowers creators—whether it’s writing lyrics or generating immersive visuals—with or without technical skills.

📣 3. Personalized Advertising & Consumer Connection
A look at how AI is reshaping ads into contextually relevant experiences that deepen the consumer journey.

🔐 4. Balancing Innovation & Privacy
Why transparency and user choice are critical—and how we can build responsible AI experiences.

🚀 5. The Next Frontier: Real-Time Adaptive Content
Imagine content that evolves in real time based on your mood or behavior—Natasha shares both the potential and the ethical implications.

🧠 Final Thoughts:
Natasha reminds us that AI is a tool—but human creativity is the driver. The future belongs to those who embrace both.

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#AI #ContentDiscovery #WomenInTech #PrismaAI #ArtificialIntelligence #MediaInnovation #PersonalizedContent #AIethics #CreativeAI #SeizingTheAIMoment #WiTH

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Transcript

1:32

Welcome to Connection Corner, Seizing the AI Moment, brought to you by Women in Technology Hollywood. Hello, and welcome to the Women in Technology Hollywood podcast new series, Seizing the AI Moment. We're your hosts, Marguerita Lam and Felice Bonimpour. In each episode, we dive into conversations with AI executives, trailblazers, and innovators. or reshaping technology across the creative and business worlds.

I'm Margarita, one of your hosts for Seizing the AI Moment: 2:03

Women in Technology Hollywood. I lead the media and entertainment practice at Point B Consulting and previously shaped strategy and transformation at Time Warner and NBC Universal. Today, I partnered with entertainment companies and streamers to turn AI into real-world impact, unlocking creativity, reducing complexity, and driving what's next. I've been recognized as a Top 25 Consultant in Media and Entertainment, and I'm thrilled to partner with my co-host, Felice. Turning it over to you. Hi, I'm Feliz Bahmanpour, board member at Women in Technology Hollywood and the head of media and entertainment at Tawan Technologies. I led product development and business transformation at NBC Universal, Universal Theme Parks and Resorts, and at Nielsen Gracenodes. And along the way, I even shared an MV with the S&R crew. I'm passionate about the innovation of entertainment and advertising and serve as advisor to emerging tech and AI companies. So today we're diving into how data and AI innovation has transformed consumer experiences across the media, technology, and fintech industries and what the future holds. We are so excited to shine a spotlight on Natasha Mohante, a pioneer in technology, holding executive roles in engineering, data, and machine learning. She has built high-impact products from vision to launch at iconic brands. former Stripe, Nielsen Gracenote, and Google. She's the co-founder and CTO of Prisma AI, an AI-powered content discovery company. She holds an Ms. in computer science from the University of Massachusetts Amherst and a bachelor's in computer science at Mont Holyo. Natasha has always been on the forefront of AI, data science, and engineering, and has created innovative solutions and content discovery, search, personalization, and analytics. She even holds a patent in character-based media analytics. Natasha is passionate about mentorship and volunteers to develop the next generation of female engineers at Tech Women, Hackbright Academy, and the Girls Middle School. So let's dive into how data-driven strategies and AI are changing consumer experiences. Let's hear about Natasha's AI journey, the AI origin story. Natasha, you've had an incredible career, leading engineering for checkout experiences at Stripe, leading teams of 100 engineers at Nielsen and Gracenote, tech lead for Google News, Google+, focusing on content discovery and engagement. and founding a cutting-edge video recommendation platform to deepen user engagement based on neuroscience at Plisma AI. You operate within the Verified AIR for Executive Women in Technology and Engineering. Can you share what sparked your interest in AI and machine learning and how that's impacted your career trajectory? Thank you so much for having me, Margarita and Feliz. It's such a pleasure to be a part of all media and technology, especially work led by women, so really thrilled to be here. I think I was interested in AI even as a kid, probably quite influenced by the Isaac Asimov novels I read and always wanted to go build a robot. I enjoyed coding in high school. So no surprise that I went on to study computer science, but I think it's AI that motivated me to get a minor in psychology. I really loved my language and cognitive psych classes. You're trying to understand how humans understand and learn language, how they perceive the world, how they apply logic and reasoning, and then trying to see if I could get AI to do the very same. But I'll be honest, though, with age and experience, I think I've become more interested in how humans can leverage technology, how we can leverage AI and machine learning to be more productive, right? To replace the burden of, ideally, the burden of repetitive tasks so that humans can focus on the more creative and fun work. So that's what I'm excited about as I think about the future is how can all of this AI help us just have a better life? Love that you're thinking of psychology and sort of the human creativity. What was the aha moment when you realized AI could truly change how consumers experience content discovery and engagement? You know, Margarita. I grew up in India and when I was a child, there was exactly one national channel to watch on TV. Then you never asked like, what should I watch right now? Well, one program that's playing, you go watch it. But what's interesting is with time, it's become easier to create content, right? You know, even the time I... I was at Google, like YouTube came along and there was an explosion of content. It's really frustrating when you know there is great content for you to watch, but you just can't find it. Like, imagine I just want to watch a few videos before I go to bed. It will take me 30 minutes to find the right piece of content. And I think a lot of our early recommendation systems were all keyword based. which is, you know, tell me the three things you like and I will give you more of those three. That doesn't capture like my mood, am I tired, am I energetic? You know, who am I watching with? You need so many dimensions to really describe both content and human beings. And I think that's the power of AI. And that's when you started to play around with the modern Gen. AI tools, you start to realize that we can finally have the technology Frankly, the processing computing power to take this multi-dimensionality into account as we recommend content. To me, that was the big aha moment where I'm not going to be bound by processing power to say Margarita likes only red clothes because red is the only keyword I can find. So really excited about what that can, you know, how that can help us find content that will truly surprise and delight consumers. I love how you shared sentiment, not just search words. And that was why I was so excited to partner with you on the startup that you founded, because you're bringing neuroscience and sentiment and really giving a user a much deeper and emotional base connection to what they really want. So if you could go back and give your younger self advice, what's one piece of advice about integrating AI into the content discovery or engagement to improve that overall consumer experience, what would it be? It's funny, I was thinking about this, and I don't think it's just the AI. I think one thing with all these tools like ChatGPT has really brought about is people like having conversations. When you think of mountain discovery, right now, Netflix has the best-in-class content discovery, as does Amazon Prime and all Disney and all the other services, but it's so static, right? You get a set of recommendations, you pick one or you go home, whereas that's not how we pick things, right? So when I think of picking content, I'll be like, that's not quite what I want. Something a little darker, something a little more fun. And I think what the modern tools let you do is really be able to have that conversation. And so I'm really excited if I were to go back to my past self or how to make conversation a huge part of the content discovery. And then on top of that, some of the modern reasoning models are really good. I actually kind of want to know why did you pick this for me? What did you think I liked? I'm binge watching Mission Impossible because I still haven't watched a movie in the theater, but I want to tell the Okay, I'm waiting. I'm waiting. Don't tell me. I don't want to tell the boss. That doesn't mean I want to watch all Tom Cruise movies. Don't worry about it. That's a special reason. Go recommend something else to me. But that's impossible to tell my TV right now. And so I'm really excited to go back to my past self and be like, really make the content discovery like a process versus just the outcome because that's what human beings, people are looking for. I love that it almost sounds like an AI best friend of I'm in the mood to watch this and having a conversation to get better recommendations. Now, we're seeing AI make waves in everything from content creation, content discovery, as you're mentioning, the way content's distributed, and also monetized with personalized ads. What's one AI-driven innovation in media or technology or in fintech that's really blowing your mind? Oh, blowing my mind, huh? I think the AI driven content creation is really blowing my mind. I think it's just taken me by surprise, frankly. I think now if you have an idea, you can work with, you know, one of the many AI tools to turn that idea into a reality, right? So you can write lyrics for a song, you can create an image, you can create a GIF. I have a 11 year old daughter, she loves to sing, but now she is attempting to write lyrics for her own song, you know, just using ChatGPT just a little bit. She's convinced she's in ChatGPT, so she just wants some help, but, you know, wants it to be her own. I think the craziest thing I've seen in this vein, and you guys tell me if you've checked it out, is the Italian brain rot, that whole, right? I've seen that. The ballerina cappuccino. It's no sane human being, I would say. Well, I would not create those things. I can't imagine a lot of like high-end content creators going and creating that. But it's amazing that someone had an idea. With a little bit of time and your AI best friend, they could create all these fun images and then engage with it. I feel that like, you know, as a technologist, I always view AI as a tool. So I'm really excited, right? Like, what does this unleash? for all those people who have great ideas but maybe don't have the time or the training to turn that into a reality? How can they work with AI to create content for themselves and their best friends in a way that was never possible before? I love how you brought that idea to life in describing your daughter who loves singing using AI to just innovate and spur her creativity. This is a whole new generation growing up, not just digital native, but AI native, so I can't wait to see all the creativity of this new generation, including your daughter. Now, on the monetization side, AI has been increasingly being used to scale advertising capabilities, especially for media and technology companies, creating really hyper-personalized advertising experiences for its audiences. Can you share an example of a project where AI has made a significant difference in better connecting with a consumer? I think we're still in pretty early days here too, and we're just talking about what can be in production. But I do think there is a world of like, not just highly personalized, but highly textualized. And again, not just ads, but full out embedded shopping experiences that are coming our way. I will tell you my pet peeve is, you know, I watch out what sometimes these workout videos in YouTube and just in the middle of the workout, like an ad shows up and you're like, couldn't you just wait 30 seconds for that routine to be done and then get me the ad at the right moment. I think that's because a lot of our ad technologies, they may be personalized based on like other keywords they know about you, but they don't seem to really understand or follow the content. So they show up in the wrong time. Or you get this whiplash, right? You're watching like a mystery thriller and then like some other ad shows up that has nothing to do with it. And you're like, wait, that's whiplash. Like, no, again, you would never do that if you were a human. So I'm really excited about what that world could be, where we show the really contextualized ad. When I was at Nielsen, we were working on a technology called dynamic ad insertion that actually is selling to Roku. And the premise here was, you know, you have all these broadcast ads, let's go and replace them in real time with more local and personalized ads. So really useful from a, especially a local ad standpoint, but it required a lot of like backend coordination between the broadcast signals and the content schedule to get the ad insertion right. I think with AI. that problem will go away. I think we'll really be able to like dynamically insert content experiences that are contentional. So I'm really excited about what that can do. I'm just playing around with neurons AI. I don't know if you guys have checked it out, right? But I think we are finally maybe at the cusp of really being able to take all these neuroscience signals into account so we can know how you are feeling in emotionally at the moment and give you ads that match that versus, you know, the next mattress ad where you're like, well, no, I don't need a mattress right now. So really kind of being able to do that. And then lastly, I will say, you know, I really am excited about the shopping experience thing after seeing all this. And Marguy that you and I were just talking about AI agents. I think this whole notion of like, we will show you an ad of like, and then you can go to www dot something, something.com. That's dumb, and it'll totally go away. And I think you will get with the help of agents, like embedded shopping experiences, you should able to just buy from content. So yeah, I mean, I'm really excited about like, what it'll be for content, but I think expanding that to be like, what will that be for like the true monetization experience? I think that is really, really exciting. And like, I don't know what, as you mentioned, all these young people will like help create for us. I think the world you're describing is both giving me excitement, but also worry in terms of the downside, like in terms of all this personalization. There was a use case and it's been around this feature for a while. It's the Mac Facebook where it looks at your emotions and your hand motions. And if it's thinks that you're happy, it actually has fireworks go off in the background. And it has balloons, it has confetti. So I've just seen it recently. But it also has the flip side. I think if it reads a face that is a little sort of pensive, it actually gives a thumbs down. And I thought that was functionality was interesting because many people didn't know that that functionality was turned on as a opt-out instead of opt-in. But when you think of all this sort of personalized AI based on sentiment, how do you think we balance user privacy? You know, I might have a controversial take on this, so either so be it. Like you mentioned something that I think is critical. You said users didn't know something was going to happen. I think, you know, there's privacy, which is like what data we should collect, how do we share it? I think, you know, those are important. But I think we really need to think about users are willing to give up privacy for some value. You have to be clear about the value and users have to be in control. Like, I'd get ****** *** if I didn't know something was happening. But if you told me, like, I'm going to collect this information from you, and because of this, I will do this experience better. Do you want to participate or not? You will be surprised how many people are willing to do that. I mean, look at the explosion of the usage of ChatGPT. ChatGPT makes it very clear everything is being recorded. But you know, it's being recorded. And if you don't want it, you can be like, no, don't use my data for this. Or like companies are saying, no, we don't want you to use our data. So we will we need a model that we can host. I think to me that is a lot about permission and leaving power like empowering consumers than it is necessarily finding this like magical balance. I think it depends on, you know, different users, different generations have different comfort. But I do strongly believe in transparency, right? Like, and I think it's such a great opportunity to have like the right interaction models, the right user experience to build that consumer trust. So, and that's, I think, the key more than, you know, yeah, I don't want Zoom to do something for me that I didn't ask for it. But I'm happy for it to give some of my data that'll make my experience quite a bit better. So I think that's the balance I really seek. And then as an engineer, I will say like Apple's done a really good job about this like federated learning where like the tool that can live on the device, you don't have to share it back to the servers. And I think as an engineer, I would love to say like engineering needs to do more here. I think we often present everything as a binary choice, like horrible non-personalized experience for you Or we must have all your data in perpetuity and you have no rights over it. That's just not true. I think there's a spectrum here and we can do a lot more on the engineering side with a lot less data or at least like synthesized data that does not violate privacy. So I do think there's more work we can do here and I don't think it's a binary choice, but I do think it's something that has to be front and center as we are building these experiences. I like how that you break that down into user choice and transparency, how important it is to adhere to so that data privacy. It makes me think of a segue where a company has shared with me that they're using an AI coach to help their employees have not just a personal coach, but an AI coach. And we had a discussion about privacy. I said, Should you have a conversation with a human, that's one-on-one, You know that conversation probably won't go much beyond the human. They said, How do you feel about having your AI coach record every single thing you're saying about your work performance and where you want to get better. And they actually gave an interesting perspective. They said the product that company had said all those transcriptions are not available back to the company's HR group. nor is it available in detail, accessible. It's all sort of summarized up. So in some ways, the AI coach provided a little bit more privacy to the consumer. So I thought that was interesting too, that in some cases, it could give more flexibility and privacy. Totally makes sense. Mm-hmm. So when we think about advances in AI powered recommendation systems, you know, what are you most excited about in terms of how that will both improve the user experience, but also content performance? You mentioned sort of having that AI best friend and having conversations. What else are you excited about? You know, I'm a, I don't come from a media background. I'm a technologist engineer by training. Sort of, you know, when we thought about content discovery, I think some of, and when I was doing the startup Prisma or even Gracenode, I sort of love the opportunity of working closely with content creators, media experts. I know we talked about this at some point, but like we had a patent on character-based content discovery. All those ideas came from content experts, psychologists, media experts. I think what I'm maybe really excited about is now all the ideas that people have. they can actually bring it to fruition, maybe in partnership with technology, right? Versus feeling like this technology is like a black box that like something feeds into it and gets an output out of. So really what I'm excited about is this technology is available. It's available not just to engineers, but to like everybody. I'm excited that we now have these modern GPUs that, you know, now we all say, right, there's more power in your phone now than the power required to send command human beings to the moon. And I think that is now available at our fingertips and everyone is empowered to use it. Young people are empowered, I don't know, from middle school to use it. So I guess I don't know what I'm personally excited about other than the fact that I know there's the potential to unleash all this expertise into finding really content that resonates with human beings and using engineering as a way to get there. Like, and really getting, I mentioned this earlier, also truly being multi-dimensional, right? And bringing that alive. So I thought about it. Part of my job here is to enable others, and that's the power of technology. And with AI, that's what I'm most excited about. I love how you couple engineering technical with psychology. So it really is the human intelligence and sentiment and feeling and emotions, and that you're sort of bringing that together. And that really is what AI stands for, the artificial intelligence with that emotional component. So now that personalization is at table stakes, But the next frontier is contextual and emotional intelligence in content discovery and delivery. How close do you think we are to real-time adaptive content experiences, where AI adjusts storylines, formats, or even tones based on the user behavior or mood? I think it's a great question. I will say, first I'll say, like, just because something is technically feasible doesn't mean we should do it, and so I feel like, you know, we should separate those two always. On the feasibility side, I think dynamically generating content from a predetermined set of outcomes, I think we're just a few years away from it. I think fully dynamically generating content. It's doable, but it's going to be expensive. So from a monetization standpoint has to be worth the cost. The ROI has to be there to justify that. I will also say that this is a very personal note. I don't buy into that the holy grail of content experience is highly personalized. I mean, let's take Sports, for example, it's a very social experience, right? You don't know what it is, but it's the same outcome for all of us. And sports has insane engagement. People like watching together. So I don't think it'll be like all super personalized, but you know, you know who my favorite sports person is. So maybe I'll get to see more camera angles focused on them. And then fours, depending on what happens to my team, hopefully you will like customize the post-game experience for me completely based on that. I also have a seven-year-old son who's obsessed with all sorts of ratings and rankings and like, look, ask me who the top seven is in the Eastern Conference. I'm like, wow. But he's so into it, right? And the personalization and customization experience for him is give me all the stats, all you can, because I love that, right? So I don't know if it's all about like generating new outcomes or new ending. Sometimes that could be appropriate. I think to me it is really expanding the viewing experience to be more than just viewing the content. It's everything around it. I don't, and the monetization side, we've done something around merchandising, but I think there's so much more power. power in there to really like create a much more immersive experience. How do I engage with more fans even if I can't go to the stadium today? I think all of those personalization is really, I mean, it's at the fingertips. I would say that's like maybe a year away where we can actually build really powerful personalization experiences that really just goes beyond content viewing. To me, that's personally way more exciting than necessarily I choose my own ending of a movie. You take White Lotus, right? Like, I'm super excited that we all saw the same. I don't know if I wanted you and I to watch different endings. Like, it was fun to talk about the weirdness of the ending, but give me more backstage access to my favorite character. Give me, tell me a little bit about their, you know, process in taking on this role. So I'm really excited about that, personally, more than I am about necessarily personalizing every aspect of the experience. you know, coming back to Mission Impossible, I mean, I'm only watching it, it's because like I have friends who have watched it in the theater. But I do think there is something beautiful about a combined social experience that content is a huge part of. I love what you said earlier, just because you can build it doesn't mean you should. And I love that you remind us that we're humans, we're social animals, and there's certain parts of the experience that is a social experience. So thanks for sharing just all these amazing art of the possible ideas. I'm going to turn over to Felice for our sort of quick fire POV. So Felice. This was amazing. First of all, can I just comment that you guys covered pretty much all the bases from contextual to neuroscience, the shopping experience to the ethics. It's just as an industry person, I even had a sort of a visit to the all corners of AI, so really appreciate your Deep expertise, Natasha. I get to do the fun part today. Quick fire questions and bold takes. I mean, you're already a bold person, so I'm excited to hear your thoughts in this section. So the first one comes as, will AI create a story more beloved than any human masterpiece? You kind of shared that content creation is blowing your mind. Go for it. Yes or no? No. No. I think humans are critical here. No. All right. Because it's short answers, I'm going to move on to the next one. Is AI personalized content discovery creating even more silos and echo chambers? Sadly, yes. Oh my God. I had to comment on this. We used to enjoy picking movies with my husband. As it gets more personalized, we started going into different rooms. It's a social experience that we create as humans. Yeah, hopefully, as you said, you had a lot of good thoughts to what extent you should personalize. Hopefully we'll learn and adjust. I think so. I think we will. I mean, yeah. I mean, I hope we will, let me put it this way. It'll be so sad if we're all in our own little bubbles. Exactly. Will AI soon predict what you want to buy before you even know it? Yes. And maybe even shop for, it'll be in your door. You'll be like, I want, and there the doorbell rings. Now, now, now. That's good and bad. Oh, I agree. I don't need more ice cream, Ben and Jerry's. We all need more ice cream. Totally. So hot takes. This is beyond the yes or no. You can give short answers on this one. Fast forward to five years. What will AI have sold that feels impossible today? I think interactive shopping. in choppable media will be everywhere. Old school ads will be no more. Maybe that's stretching it a bit far, but hey, why not? And then you mentioned this, Felice. I thought about this very much, which is I'm hoping in five years, my husband and I will be able to choose something to watch together within two minutes of turning on the TV. Right now, it's a 25-minute exercise to be like, do you, do you not? So that's my hope, that within two minutes of turning on the TV, he and I can find something we love to watch together. I share that sentiment that you talked about mood-based, right? Hopefully when we come in together for an event, happy, you know, just we can watch something relevant to both of us. That's right. All right. So in the race of AI adoption, do you think companies are moving too fast, too slow, or missing the point entirely? Ooh. I think they are moving both too fast and too slow. I feel like some of us believe AI is magical and should be magical and just give me the right answer as I snap my fingers. I think we're very far from that world. Not sure we'll ever get there. Human input will be critical. So I feel like all this wave of magic wand, we should get over that and really think about how to integrate humans and AI together. And others are being very cautious. I don't know if I had any advice, I would basically say create playgrounds for your companies. I think what we all need, anything new comes around, we need to play with it. And by we, I mean people at all levels of a company need to play with it. And so my advice for companies would be create playgrounds that people can safely play with the AI technology and maybe come up with cool ideas. That's something we did at Stripe and a lot of our payment agent work stemmed from a playground where like smart engineers and data scientists and product managers and everybody came together and be like, ah, voila, this looks fun and actually useful. So yeah. Yeah, totally, totally. And some of the innovations came a little bit surprised. I mean, I never thought that Vemo was going to happen. I mean, I wouldn't say in my lifetime, but not. that quickly and suddenly basically popped in everywhere, right? In terms of the media's adoption, I think I'm pleasantly seeing that media companies are creating that playground to innovate. So that's refreshing to see. All right. The next question is, how do you see the relationship between the humans and AI is evolving? And will we be collaborators, friends, managers, or something else entirely? I think 100% collaborators. And frankly, this is panning out in areas where I see AI is already deeply integrated. So whether you take coding or analytics, there are tons of tools, right? Take GitHub Copilot, Databricks, or even startups like Cursor or Wisdom AI. Their fundamental mode of interaction is that the human is in control and collaborating with their AI best friend to build quickly. And that's the model I imagine for like everywhere. So yeah, happy collaborators. I want our best friend, new best friend. Hey, AI bestie. That's what we're looking for. AI bestie. All right, my final question for you is, if there's one takeaway for the media and tech industry in terms of the AI's role in improving the consumer experiences and engagement. What would that be? You know, I said this a few times, so maybe I'll reiterate it. AI, like all technology, it's a tool. It's a very powerful tool and makes possible things we didn't know before, but it's a tool that fundamentally needs human creativity to work. We also talked about how it can create silos. So I feel if I were to give one takeaway, I would say it's now upon us to break silos on how we work, right? So instead of thinking of, in my world, like the engineering org, the data science org, and the content production org, and the creative org, and all these orgs don't talk to each other until you have some leaders get together in a room. I think that way of work just won't work in the world of AI. And so my thought process here is let's create more cross-functional teams. Let's create small teams that are trying to drive outcomes together, but bring together lots of different expertise. And then they can together have this AI best friend to help them get to the business outcomes or other outcomes they're looking for. So feel like what I tell, what I tell my kids too is like, AI is also moving so quickly. We need all of us to be like flexible with a growth mindset. That's what I would say for like the media and tech industry too, right? Like break silos, work, collaborate actively, and just like learn as you go and be flexible. And then let's see what we can all create together. definitely, you know, the diversity of thoughts and coming together to even innovate bigger things. You've been amazing. You've blown away my mind for sure. And I'm sure the audiences will love this episode. Thank you so much, Natasha. Off to you, Margarita. No, thank you so much, Natasha. That was the art of the possible in less than 30 minutes. So thank you so much. That's a wrap on today's episode of Seizing the AI Moment with Natasha Mohanty, powered by Women Technology Hollywood. We hope you're leaving with new insights and inspire your next AI move. If you enjoyed this episode, please do follow us on podcast platforms or YouTube. Be sure to subscribe, leave us a five-star review if you'd like, and share with someone who needs to hear this. So, Natasha, thank you so much for sharing all your creativity, all your deep technical engineering know-how, but really balance with that human-centered emotional, psychological sentiment and reminding us that AI is very exciting, but it is a tool. It is a tool that can be powered by the creativity of us humans. So really excited for the next generation to take this tool to new heights, excited for your daughter to create that next best-selling song, and for our children to create new worlds that are less siloed, more connected with a deeper and richer understanding and social experience. So thank you so much. It was amazing. All right. Thanks for having me. Thank you. Bye-bye. Thanks for watching Connection Corner, seizing the AI Moments. Brought to you by Women in Technology, Hollywood.