Everyday AI Podcast – An AI and ChatGPT Podcast - EP 247: AI - Your New BFF or Tech Terror?

Episode Date: April 10, 2024

How should you view Artificial Intelligence? Can it be your new best friend, helping you with every task of your day? Or, could it be a legit nightmare and tech terror? Sheetal Rishi, AI Transformation Leader, joins us to help you understand the steps to take to make sure that Generative AI is more friend than foe.  Newsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageJoin the discussion: Ask Jordan and Sheetal questions on AIRelated Episodes:Ep 224:  AI and its Impact on Society: How it might lookEp 206: There is No AI Hype – This is how the world works nowUpcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: [e-mail] with Jordan on LinkedInTimestamps:01:20 Daily AI news05:00 About Sheetal Rishi09:24 AI adoption growing, democratization of technology capabilities.12:26 Technology can generate answers from various sources.14:28 AI infrastructure costs have decreased significantly.19:16 Use machine for tasks, elevate your value.22:57 Enterprises seek change, face resistance and innovation.26:24 Emphasize enterprise-approved technology for faster data access.27:53 AI must be embraced strategically to benefit.Topics Covered in This Episode:1. Evolution and democratization of AI technology2. AI in the Corporate Sector3. AI in Education and Skills4. AI Integration in Daily Life5. AI's Disruptive InfluenceKeywords:AI technology, evolution of AI, democratization of AI, electricity impact, individual AI adoption, enterprise AI adoption, data literacy, barriers to AI implementation, conversational systems, AI infrastructure cost, business transformation, Watson's AI success, AI potential threat, corporate challenges, GitHub Copilot, Power BI, Google's features, innovation in enterprise, enterprise education, job security, human and AI coexistence, change management, generative AI, legacy enterprises, fusion strategy, Tesla, artificial intelligence, machine learning, deep learning.Send Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info) Start Here ▶️Not sure where to start when it comes to AI? Start with our Start Here Series. You can listen to the first drop -- Episode 691 -- or get free access to our Inner Cricle community and all episodes: StartHereSeries.com Also, here's a link to the entire series on a Spotify playlist. 

This is the Everyday AI Show, the everyday podcast where we simplify AI and bring its power to your fingertips. Listen daily for practical advice to boost your career, business, and everyday life. Meet Firefly AI Assistant, now live and Adobe Firefly, the all-in-one creative AI studio. Just describe what you want to create and the assistant handles the rest, orchestrating multi-step workflows across Photoshop, Premiere Express, and more in one conversational interface. You direct the outcome. The assistant accelerates execution. Can artificial intelligence be both a good thing and a bad thing?

Is AI your new bestie? Or could it be a tech tear? We're going to be talking about those things today and more on Everyday AI. What's going on, y'all? My name is Jordan Wilson. I'm the host of Everyday AI. And we are your daily live stream podcast and free daily newsletter, helping everyday people learn and leverage generative AI to grow your companies and to grow your

careers. So if that is you, I think you're in for a treat today with our guest. And we're going to be talking about the highs and the lows, the pros and the cons. And if AI is your new bestie or a tech tear, I'm excited for this one. But before we get started, we're going to start as we do every day with our AI news. And as a reminder, whether you're listening on the podcast or joining us live like Rolando from South Florida or Tara checking in from Nashville, Woozy from Kansas City. Make sure to check out today's show notes as always or more and on our website at Your Everyday AI.com. All right, let's get into the AI news for today. So first, Open AI has released and updated. It's GPT4 Turbo with new features. All right. So OpenAI has

officially launched and updated GPD4 Turbo with Vision in the API and within the chat GPD interface featuring what the company is calling significant improvements over its predecessor. So some of the more technical updates now include the ability to analyze text in JSON format and execute function calls enabling developers to automate tasks like sending emails, posting online, and making purchases. Also, the knowledge cutoff date, which this is a big one, will reportedly be moved. to December 2020, enhancing the models,

relevancy, and accuracy. So big jump there from April, 2023 to December 20203. Also, competition in the AI space is obviously intensifying with Anthropics Cloud Opus 3 surpassing GPT4 in some closed source model rankings,

while Google's Gemini Pro closely follow suit. Speaking of, Google's Gemini Pro new updates there as well. So Google has introduced Gemini 1.5 Pro with some advanced capabilities. So Google's latest update equips Gemini 1.5 Pro with the ability to process audio files directly, enable it to extract information without relying on written transcripts. So this announcement came as part of Google's Google Cloud next 2024 event going on now. Google announced the public release of Gemini 1.5 Pro via its Vertex AI platform, which is where it's available now, if you want to go play around with that. So Gemini 1.5 Pro supports processing prompts containing one hour of video, 11 hours of audio, 30,000 lines of code, or over 700,000 words in a single stream with that large 1 million token context window.

All right, last but not least in AI news for the day that's been twisting my tongue. But Intel has unveiled its gaudy three AI chip, a what they're calling a game changer in the semiconductor industry. So Intel has just introduced its gaudy three AI chip at the W.EF at the World Economic Forum meeting in Switzerland. So the gaudy three chip is apparently, according to Intel, over twice as power efficient and 1.5 times faster. then Nvidia's H-100 GPU offering enhanced performance for AI models. So we'll see once the benchmarks come out. But if this is true, that's pretty big news from Intel. Obviously, Nvidia has announced its newer chip.

So we'll see where kind of the benchmarks fall with all of these things. Expected availability for the new chip for customers is coming in the third quarter with collaborations from companies like Dell, Hubert Packer Enterprise, and super micro. So Intel is aiming for competitive pricing against Nvidia's latest chips, emphasizing open integrated network on chip and industry standards. All right. So exciting.

So we had big model news today, big chip news. But I'm excited to talk AI now, y'all. Like one thing I love is bringing our live stream audience, the ability to learn live from experts. So very excited to bring onto the show. Let's go ahead. There we go. So welcoming to the show, we have Chital Rishi, an AI transformation leader. Chitale, thank you so much for joining the Everyday AI show.

Perfect. Thank you for having me, Dawn. Nice to be here. All right. So much going on in the world of AI. But tell us a little bit about your background. Sure. Oh, yeah. By the way, I loved the daily three-minute update everything that's going on in the world of AI. And I think you do a great job in picking up what really matters. I think that. the top of top news. So thank you, Jordan. That was fantastic year. So my background, I've been in the industry for, I've been a professional for almost two decades, feels like just yesterday and I'm still learning in my journey. But I started my career at McKinsey, did a lot of business strategy transformation engagements across the globe,

advising C-suite of customers essentially or what they could do to transform new business challenges, new opportunities, how do you grow and stuff like that. And then from there onwards, I had an opportunity to work with a financial institution, Citibank for a couple of years, actually deploying a lot of my advisory to the bank itself, you know, how to transform and build the effort. There was something called one city that was part of that. So a lot of fun, exciting learning experiences on what does it really take to deploy some of your own advice. I think I'd like to say that to myself. And from there onwards, I'm sure you would have heard of a deputy. So IBM Watson was one of the first supercomputers, if you will, for the lack of a better word,

that actually took on the challenge to defeat humans in the game of Jeopardy. If you haven't seen it, you must check it out. There's a lot of great YouTube videos about that particular episode. So I had an opportunity to work with IBM, spent close to seven, eight years using AI to actually solve for some of the most pressing needs of, you know, the world, if you will. And then a couple of years in the middle between, with, you know, deploying AI, building the infrastructure itself, you know, at HBE, what does it take?

So the announcement about Intel is especially of relevance, you know, and of interest as well to go back and figure out what is this chip going to do and how is it going to impact my current customer base. I think is what I'm really intrigued about. Yeah. Yeah. So I'll go ahead and say this out loud. Your background is extremely impressive, right?

So you worked with some of the largest companies in the world. You know, you mentioned, you know, IBM, HPE, City Bank, McKinsey. So, you know, I'm curious, you know, from someone that has a deep background, you know, working in artificial intelligence and in business, you know, in business in general. How have you seen kind of the business world change, you know, specifically since generative AI, right? Since, you know, traditional AI has been used for decades. But from your vantage point, how has the generative side?

really changed how businesses operate? That's a great question, Jordan. Has it changed? The answer is absolutely yes. There's a lot of boardroom conversations. I mean, the fact that this morning at 7.15 year time, I think you're talking about AI should be very revealing that there is just a lot of excitement,

a lot of hype about AI itself. AI is not new. I think the cat is out of the bag, and that's how I see it. we've already been using different forms of AI, again, you know, just to throw in some more terminologies here, machine learning or deep learning is not relatively new. You know, I think it's been around since 1950s and 60s. I wouldn't call it a well-kept secret, but probably it was one of those things. It was accessible, but we did not have the infrastructure that is required to

scale and use these technologies, you know, at larger scale. So just like, you know, what electricity did to the industry back in 1880s, when Edison literally had the first light bulb moment, right? He started off, I think, in 1882, in New York. There were about 50 buildings that were lit up. There were the first one. Obviously, there's a lot of excitement about it, about electricity itself. And there was also a lot of concerns, you know,

what if people start getting electric shocks, if you will, what it can do, what's the capacity. I think we're in a similar revolution, right? now if you think of it. So the boardroom conversations I'm definitely picking up on how can I use AI and I'm using AI as a very generic broader terminology. The technology capabilities have become astronomically different is what I can tell you. And I was listening to another podcast myself last evening and it was interesting to hear a comment again. There's just so many statistics around us, which sometimes I wonder which one to follow. But I think the net of it was that the speed of

capability advancement over the last 10 years is just phenomenal that you and I can actually use AI all of a cells as individuals without having to invest, you know, hundreds and thousands of dollars. So I think the capability itself has been democratized. It's available to larger audiences. So what will happen with that really depends on human creativity and human capacity. At an enterprise level, I am seeing much wider adoption of well. it was. A lot of still, you know, barriers to entry, if you will, from an infrastructure capability perspective, the amount of data integrity that's required in enterprise, regulatory requirements, the skills of the humans itself were actually going to deploy it. There are

those, but I think those hurdles are becoming smaller and smaller as we move along. So the next five to ten years of how we do business, how we see business, you know, it could be financial, it could be health care, would be very, very different from what we've seen in the past, in my opinion. Yeah, and she tell you, you know, you kind of mentioned that, yeah, AI goes back many decades, you know, back to the 50s and 60s and the expert boom of the, you know, the experts boom of the 80s. But, you know, something you mentioned there that, you know, hopefully we can, you know, talk about here quick is, you know, Watson, right? So, you know, working, you know, on the Watson team, I think, you know, that was, at least even for me, that was kind of my first, you know, kind of

of introduction to AI, right? When you had an AI, right, when you had an A. a supercomputer go on Jeopardy and win. You know, maybe how do you think the conversation has changed, right? In the past, you know, 12 or 13 years since Watson, you know, went on Jeopardy. And I think that really opened a lot of people's eyes to what was capable with AI. So, you know, as someone who was involved on the Watson team for a few years, how do you think that the conversation has changed since that very pivotal moment? Yeah, great question.

Again, I think three things that stand out to me, and I'll try to boil the ocean here. One, I think number one is Watson itself, so conversational systems, right? They're typically, you ask a question, you get an answer. And the way they were trained, we used to call them short tail, long tail question, short tail was frequently asked question. What's your address, Jordan?

That's a, you know, short tail questions. So if I have a public record, or if I have record in my system of records and I can find Jordan and I can find your address I'll pop that answer back at you this is hopefully you're not asking what is your address somebody else is asking for you but in the world right now where we are if I ask the same question I think technology has become smarter enough to actually triangulate pick up pieces of information from different sources and compile or what is called as generate and answer and feed it back into you that is one big difference I don't necessarily have to have question and answer pairs versus, you know, I can give you a dump of data and the patterns are being recognized.

Just as we're building a sentence, we need to know where the verb goes, where the noun goes, where the subject and predicate goes in the language, right? Technology does it for us, infuses the words. And I think the accuracy rate is, if you haven't used chat, if anybody has not used chat, GPD, please guys go and try it. I think. And again, I'm not advocating for one technology, but there are many different. versions of chat GPD or Gen AI conversational systems, go use it for yourself and you'll see how it has evolved. Number two was the data literacy itself in organizations. So back in the days, a lot of my conversations will begin with, you know, this is AI, this is ML, this is deep learning, this is how

the neural networks run. I think the conversation has gotten much smarter now, the enterprises, employees, executive, across 360 degree board, I would say, you know, the newbies definitely way ahead. People who've been in the industry and the executives, their level and appetite, an understanding of technologies much far superior than what it used to be. And part of this is, I think, driven by the fact that many hyperscalers, many education institutions, you know, Coursera's, edX, MIT, they're offering courses that anybody can go indulgence. So I think, plus enterprises are having structured programs about AI. And I think it's the gamification of education industry in this space is completely.

up-level the bar in terms of what I know about technology now versus what people generally knew about 10 years. Back in the days, people had sort of heard about it widely. It was a child, you know, poster child of everybody I wanted to know about it. But I think the skills level, skills parameter in the industry has really evolved significantly. The third piece is back to the infrastructure side of the story. So a lot of times I would go, we'll build many POCs, demos, prototypes, it would take probably a couple of days to a week or multiple weeks to build the demos of these AI-in-edited solutions, which are fantastic. But we were really getting caught up in the infrastructure, and then each bigger issues around how can I infuse data in real time. So if

a certain information has changed, how is going to that impact the model, and the model throws a different result. So those limitations I see are getting much better right now. So things that cost it $10,000 per unit. And again, I'm saying unit as an example of storage compute network, the cost and the speed at which we could access them has probably, it's probably, I would say, you know, a few hundred times cheaper. And I'm probably going to throw a number out there. I think it's at least lower by thousands right now.

So anything that costs at $10,000, probably at $10 right now available out there. So there is a huge transfer of exponential, you know, transformation going on. So imagine what could happen the next couple of years. I don't want to look out 10 years, quite frankly. I think there's just so much unknown out there. But in the next couple of years, I see the opportunities really enhanced significantly. Yeah. And that's such a great analogy that you said, you know, the compute, you know, that used to cost maybe $10,000 might now be $10,000 and what that means for business transformation. And I think that has a lot of people both excited, but also maybe nervous, right? Because if they're not, you know, adaptable enough,

I think now more than ever companies are feeling like, oh, I might get passed up because it is so easy, you know, to implement, you know, data transformation, you know, company-wide. So, you know, that begs the question, right, to our original topic here is, is AI your new bestie or your tech terror, which I love that. But she told like, can it be both? Can AI? like be your your best friend and can it be a tech tear or does it depend on, you know, your leadership and your ability to implement AI? Adobe just introduced an entirely new way to create, bringing the power and precision of its creative suite into one conversational experience.

Meet Firefly AI Assistant now live in the Adobe Firefly app, the all-in-one creative AI studio. Powered by Adobe's Creative Agent, Firefly AI Assistant lets you use. start with your vision, just describe what you want, and shape the outcome as it takes form with the assistant. The assistant orchestrates multi-step workflows, drawing on 60 plus pro-grade tools across Adobe Creative Cloud apps, including Photoshop, Illustrator Premiere, Lightroom Express, and more to help bring your ideas to life. You can also get started with creative skills, a growing library of pre-built workflows for

common creative tasks, like batch editing photos, creating mood boards, portrait retouching and creating social variations. Every step the assistant takes is visible so you can refine, redirect, or take over at any time. You stay in the driver's seat as the creative director. Adobe Firefly AI assistant now in public beta. See it today at firefly.adopi.com. Again, it's a, I think there's a lot of debate in the industry right now that is AI going to replace humans. Let's face it, you know, I don't know the answer to that yet.

I can't say it with 100% confidence, what will be the future of jobs looking like. But I do know that people who use AI versus who don't use AI, they're definitely at risk, right. So start incorporating AI in your daily lives, if you will, not just for going on Netflix and Amazon Prime movies and picking up, letting the computer tell you which topic you should watch, which movie you should watch, or whatever episodes you want to watch. But use it to your advantage and use it for your own efficiency. and see improvement, for example. And most of the organization enterprise is,

I urge everyone out there that, because employees will use it, right? And employees can use it. They're pretty vulnerable, in my opinion. I mean, start at home, your children, especially, for example. In New York, back in the day, I think, again, back in the day, it feels like. But I think when Open AI chat GPT came out first,

there was a lot of nervousness. There's going to be a lot of plagiarism. So kids should not be using AI. But I don't think that's a way to fight. with the technology. We don't have to. It's always going to be human and AI. Think about a scenario. When you can use a machine to actually do the task for you, but you still own the decision-making capability that what task and what outcomes are expected out of you, I think then it's your best day. But if you still continue to operate in a place where you're trying to compete with AI and

memorize things and try to win over it, that's not going to happen. So if your tasks, if your daily work involves lesser of judgment, lesser of rules-based decision-making, I would really encourage everyone to start elevating your own profile, your own value that you bring in, because in my opinion, the tasks that are more rules-based data-entry type jobs, just a task in itself, they're not interconnected to one task after the other, probably are going to be at the highest risk of being disrupted in the near future. So that's where that class of people is definitely a terror.

or is it, you use it as your bestie or as, you know, someone is going to replace you. Totally depends on you. How you're going to uptick yourself, you know, invest in yourself, prioritize yourself is what I encourage everyone, independent small business owners, you know, individual contributors and enterprises, large-scale business owners, whoever you are, it's for everyone. The good news about AI is, it's just like Lexington, you can do anything. You could turn on, you could turn on a computer, you could turn on a TV, you can turn on a light bulb, you could do what you want, you know, what your needs are.

I don't think anyone, you should need to wait for somebody else to come and tell you what your needs are. If you can identify where you want to play, there's a lot of AI policy, AI governance, training, AI, securing AI, cybersecurity is going to be a big hot topic to go after. Depending on what skill sets you have, go and invest in your technical skills, on your soft skills, on a domain knowledge. Pick up an industry, banking, healthcare. Everybody's AI will look different from the others, quite frankly. I don't think there's going to be one solution that fits everybody. So pick up your battle, operate, you know, elevate your game, your skills in your specific area that you want to go after. And I think you're going to be fine.

AI will be your best best. So I love what you said there, Shetal. Like if you're trying to compete against AI, that is when it will or could become a tech terror. So one thing that I'm curious about, you know, you have a very, you know, deep background in working in enterprise. You know, if you're just joining us in the middle. middle of the show, you know, maybe, maybe you missed, you know, your, your background there, but working, you know, at, at city, working at HPE, working at IBM, you know, there was a study recently, I believe, from Cisco, a 2024 study that said still 27% of enterprises

are banning generative AI use. With that in mind, do you think, you know, just speaking generally here, do you think that those type of companies, is AI going to become a terror for them? or, you know, at least in the foreseeable future, is it going to be hard for enterprises to compete if they're not using generative AI from top to bottom? And this is me speaking. I do not represent my enterprises and organization. I work for personally the pace at which I'm seeing technology

and how useful it is. I really think if anybody decides not to invest will be left behind. I'm also surprised in my eyes, my head rose when I hear that number from Cisco. and I'm not saying that's a wrong report, but I'm really thinking they're probably more laggard. There are a lot of conversations. I definitely can speak with experience,

our first-hand experience of that about AI. I do understand AI is not click to deploy, right? It requires, I think building solutions is probably going to be faster than driving adoptions. So enterprises are really looking to, you know, I think understand how you apply, how do you drive change management in your own enterprises, legacy enterprises especially.

And I think that's one of the reasons why you see startups in almost every sector, because they're able to, there's not a lot of legacy, you know. So there's a famous book that recently came out, diffusion strategy, if you haven't checked it out, someone, people might want to read it. But that company really dramatically talks about automotive sector, multiple sectors, actually, you know, for example, I mean, the way Tesla came about and they were able to, you know,

disrupt the traditional GMs and Ford Motors of the world, you know, And I think with all your respect, the legacy automotive companies are still trying to catch up with how the software automaker has actually turned the entire industry on how to introduce the first electric vehicle in the market. So there is definitely an internal resistance, both from a skills infrastructure and what to productize and the investments required to transform a legacy company. So it's a matter of time, in my opinion, that when these legacy companies will turn around. So I don't think there will be any company that is not an eye company in the near future. It's just a matter of time. Wow. That really makes you think about the future of business and where us as business leaders

and leaders in our organization should be focusing on. I think that's some very powerful words with someone with a lot of experience. You know, you're kind of mentioning different, you know, you talked about the book and We'll make sure to link that in our newsletter today, recapping today's show. But maybe are there any, Chitaal, maybe any good use cases that you've seen recently? Because that's I think something people are always interested about, right? Like people want first, they want to be able to win back their time first and foremost. And then they start to worry about like, hey, what are some good use cases?

From your vantage point, maybe what's a good use case that you've seen where companies have maybe actually correctly leveraged AI and it became their best. Yeah, a couple of things. I think many of us who are in corporate sector probably spend hours and hours of attending meetings and then hours and hours of synthesizing what we heard, what the properties are, and then hours and hours on tracking, what should be done, and then hours and hours on communicating, making sure that the entire project end-to-end, everybody is on powers. I'm connecting multiple steps here, right?

So the use, multiple use cases in rituals could be, please use AI. And again, I would encourage you to use AI for people in the companies, use AI that's approved by your enterprise. So GitHub co-pilot is one of the most fanciest thing that I think all engineers are wishing and craving, man. I wish I had it back in my days, you know. So those are great examples of how it's helping in your core development itself and collaboration on code. So use incorporate geniei for your own efficiencies. If you're going into a meeting, please I urge your enterprise organizations essentially to help you leverage a Gen. I think it's a GNI-IIC technology.

And I think it's a CIO and CTO's nightmare right now because if you don't allow, people are still going to be able to use it because it out there, you know, it is available so easily. So use it for your own recording meetings, documenting your meetings and sending minutes out, synthesizing what matters, what doesn't matter. It's a huge time save where you could do it much, much faster. But again, I don't want to encourage go wild wild west. Please use it as approved by your enterprise, because there's just so much of enterprise data and the issues around data, security, privacy, we're still going through them.

So use what you're allowed for. If you're not allowed for anything, definitely talk to your CIO and CTO organizations, who are, I'm sure, are working around the clock to make sure that technology reaches you faster than you think. The other thing that we incorporated for my own work was a visualization dashboard, essentially, pulling the dashboard.

if there are multiple stakeholders involved in your own engagement. So you know exactly where you play, but you also know people who come before you and after you from an end-to-end supply chain. How are they doing? So online, live workflows, if you will, with a very simple visual. That is something I think every business unit must look to invest and build it. Again, I'm not here to talk about vendors and products, but PowerBi for Microsoft has been my most favorite most recently.

Google has come up with a lot of feature functionality that lets you build these visual. You don't need really to know the SQL code to actually build a program and then go deploy it and then the governance becomes a nightmare. But I think these tools are much simpler to use. Please incorporate that, right, in your life. So two tools, anything that helps you document stuff

and anything helps you visualize your stuff that you can then democratize and collaborate with your peers across the world. Try to build, start there, you know, I think. Wow. So y'all, I don't know if anyone else is feeling like I am right now, but I have so many notes here, like so many great takeaways. I actually think I have more notes from the conversation than I did preparing for today's conversation. But, you know, so we've talked about a lot.

But as we wrap up, because we've gone over how AI has changed over the decades, some great enterprise implementation tips, AI optimization versus job loss, practical use cases. there's been so much good, you know, so much good information from our conversation. But, you know, as we wrap up, maybe what's your one main takeaway that you can suggest out there to business leaders, whether it is, you know, a small business CEO, whether it's someone working in an enterprise right now in charge of AI implementation? What's that one thing that maybe companies should be doing to make sure that AI is actually their best friend and doesn't become a terror? It's a great question and puts me, I wonder, because there's definitely more than one thing. It's hard, right? It's hard. It's a hard one, yes. I really think we humans are very, very smart. Innovation is distributed in our times today, right? It's not in the hands of one or two people telling us what to do. So I think we should enable innovation. We should enable creativity and how what I mean by that is that as an enterprise leader, I think, I think I'm a big fan of learning, and this is a team sport.

So if you know something and I don't know something, we're not going to be able to move the needle here. So I think enterprise-wide, it's a revolution. So invest in learning, give the tools to your employees so they can come back to you with solutions. So I heard a comment that's interesting. Distracted with that. But yes, absolutely. So 90s, man, come on.

who does that in these days. So invest, educate. I think investing in enterprise education will help you as an enterprise leader. So people are not distracted. There's just so much being thrown at us at astronomical space. So if we can create structured, you know, just like in an academic institution, these are structured environments to promote education. I feel like I think within enterprise itself, the learning function has to be very well thought through.

It will obviously require inputs from what, the company's strategy is who you want to be, what kind of skills you want to develop, what do you want to be known for, right? So it should infuse, it should boil down to that learning catalog, and then that should get passed on to different roles in the organization. AI will be embedded in each and everything that people are doing, data scientists, engineers, architects, business leaders, you know, finance leaders, HR person. I just can't think of any function in an organization that will not, that does not have

a use case for AI yet, in my opinion, you know, with respectfully. So let's start with enabling our teams, our people, with the right tech that's relevant to our strategy. I love that, Chetal, saying that AI is definitely a team sport, right? And I think that sometimes people don't think of it that way. So thank you for joining us. Thank you for putting all of this into perspective and for sharing your insights on the everyday AI show. We really appreciate your time. Thank you for having me. It's great. All right. And hey, As a quick reminder, there was literally so much great information there that she tells shared with us. So if you haven't already, make sure to go to your everyday AI.com.

We're going to be recapping everything that was said because maybe like me, you were jotting down notes, but you still couldn't keep up with all the great insight. So make sure to go sign up for the newsletter. We'll have more there. And we'll have more the rest of this week and every day. So please join us for more Everyday AI. Thanks, y'all. That's good.

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See it today at firefly.adobie.com. And that's a wrap for today's edition of Everyday AI. Thanks for joining us. If you enjoyed this episode, please subscribe and leave us a rating. It helps keep us going. For a little more AI magic, visit Your EverydayAI.com and sign up to our daily newsletter so you don't get left behind. Go break some barriers and we'll see you next time.