Everyday AI Podcast – An AI and ChatGPT Podcast - EP 116: Using Gen AI in the Enterprise Space - Insights From Walmart

Episode Date: October 5, 2023

How can enterprise companies use generative AI? What does the future of enterprises look like? Jack Adams, an Associate Merchant and GenAI Champion from Walmart, joins us to share insights on how big enterprise companies are harnessing the power of generative AI to increase productivity and enhance customer experiences.Newsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageJoin the discussion: Ask Jack and Jordan questions about AI and enterpriseUpcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: [e-mail] with Jordan on LinkedInTimestamps:[00:01:00] Daily AI news[00:04:05] About Jack Adams and his role in AI at Walmart[00:07:45] Pursuing a gen AI role[00:09:00] Walmart's Generative AI Playground[00:13:40] AI in the enterprise landscape[00:16:15] How Walmart uses AI for its customers[00:21:40] Future of AI in enterprise[00:25:00] Will enterprise-level LLMs make smaller LLMs obsolete?[00:28:05] Jack's advice for leveraging AITopics Covered in This Episode:1. Jack Adams' Experience at Walmart with Generative AI2. Adoption of Generative AI in Enterprise Companies3. Future Developments and Challenges in AI4. Ways Walmart is Using Generative AIKeywords:future of generative AI, enterprise sector, Walmart, chat for customers, successful implementation, companies hesitant about generative AI, enterprise companies adopting generative AI, guest from Walmart, Everyday AI Show, small business, entrepreneurs, solopreneurs, live viewers, questions, daily livestream podcast, free daily newsletter, Meta, generative AI features, advertisers, ad creation, backgrounds, expanding images, multiple versions, ad text, media companies, advertising suite, Walmart ecosystem, intern, math and finance, University of Alabama, Walmart stores, rotational program, assortment on the shelf, profit and loss, generative AI space, ChatGBT, site's content quality, generative AI playground, Walmart home office associates, Microsoft OpenAI, Google, GPT 3.5, GPT 4, Google Bard, open-source models, internal data, AI system, educational space, workshops, AI system prompts, AI adoption, associate productivity, customer experience, generative AI enhanced search, user intent, Walmart app, website, cautious investments, early stages of AI, company foundation models, AI startups, disruptive technologies, Jack, enterprise solutions, Microsoft Bing, Microsoft 365 Copilot, smaller AI startups, big releases, emerging technologies, positive and negative impacts, address drawbacks, generative AI system, optimize product content, generative AI initiatives, training, WaSend 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 in 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. How can enterprise companies use generative AI?

I think so many times on the everyday AI show, we talk about a lot of small business, entrepreneurs, solopreneurs, but I'm excited today because we can get a look from someone on the inside about how big companies, enterprise companies, are using generative AI. I'm excited today for our guest from Walmart. But before we get to that, I want to start today. as we do every single day with AI News. And if you're joining us live, thank you. As a reminder, this is the daily live stream podcast and free daily newsletter.

So if you're joining us live, make sure to get your questions in about whatever you want to know, about how enterprise companies are using Gen AI. Let me know. If you're joining in on the podcast, thank you as well. Make sure to check out the show notes, as always, for a ton of other information. But let's talk about what's going on in the world of AI news first. So, Matt up, making a. huge splash with AI in advertising. So meta just announced its first generative AI features for

advertisers. So this, the new features allow advertisers to use AI to essentially do everything when it comes to ads. So creating backgrounds, expand images, you know, generate multiple versions of ad text, a little of everything. And AI can even generate up to six variations of text based on the advertiser's original copy. So this is an interesting move from meta, as we see. the advertisers take some of the, or sorry, media companies take some of these basic things that people are doing in other platforms and working them into their own advertising suite. So pretty exciting news there from meta platforms that will affect obviously Facebook, Instagram, anywhere you can advertise on their platforms.

Second, Adobe. Yeah, Adobe. Don't forget about Adobe. They're making a splash in AI photo editing. So they teased project stuff. Dardust, a new object-aware editing engine. So the Adobe Max Creativity Conference is next week. So expect to see some more kind of Adobe leaks, Adobe News, especially right after Canva just had their kind of magic AI announcement.

Yesterday, we covered that in the newsletter, a host of 10 different AI, very user-friendly AI features inside of Canvas platform. So it's going to be going a lot of back and forth here. We're going to be seeing over the next couple of weeks on whose kind of AI features and the design platform are better. And probably take a look at today's newsletter. We're probably going to give an overview of Canvas. Last but not least, have the tables turned on AI, maybe. So new research shows how humans can read the minds of AI and control it better.

Yes, that's right. Not AI controlling the minds of humans, but how humans can read and control AI better. So a new study from the Center for AI Safety just released a new paper, which looks at ways humans can better understand and control AI technologies. So this paper they released looked at the ways that humans can detect when AI systems are telling the truth or lies and when they also behave morally or immorally. Wow.

I'm excited about it. that, right? We always see and we hear and we fear, oh, can AI read our minds? And, you know, there's actually been some studies out of, you know, research, universities and hospitals that show, yeah, they kind of can. So we're turning the tables on UAI. You can't trick us. Hey, thank you. Thank you, everyone for joining. I'm excited. You know, everyone's ready. Good morning. Peter, good morning. Thank you, everyone for joining. But you didn't come here to listen to me, ramble about the AI news. You came to hear about ways generative AI can be used at the enterprise level. So I'm very excited to bring on my guest for today. Please help me welcome. Jack Adams, he is an

associate merchant and Gen AI champion at Walmart. Jack, thank you for joining us. Yeah, thank you for having me, Jordan. It's awesome to be here. And I like your bit about the mind reading of AI. We're taking a step to fight back. We're fighting back already. Yeah. I think I think that There's been so many things with, you know, the AI reading human mind. So, you know, when I saw that piece of news, I'm like, all right, humans, we're going to chalk, chalk one up for us, right? That's awesome. Yeah, so Jack, I mean, I guess we don't have to introduce Walmart at all because people know what Walmart is. We all shop there all the time.

But maybe tell a little bit everyone, kind of a little bit about your role and kind of what you even do as a Gen. Yeah, yeah. So I've been, I've been in the Walmart ecosystem for about three years now. I was an intern for two summers in a row, actually, while I was at University of Alabama, getting my degree in math and finance. I actually did about six months in Walmart stores as I was finishing up my degree. And then I just completed a 12-month rotational program called the Associate Merchant Development Program, which essentially prepares you to be a merchant at Walmart and what merchants do. Essentially, I help determine the assortment that goes on the shelf for my category.

and a variety of other responsibilities as well. And I'm essentially evaluated on the P&L of that business. In addition to those responsibilities, about six months ago, I got involved in the Generative AI space at Walmart. Really outside of our global tech organization, nobody was really talking about Gen AI, nobody was really thinking about GenAI,

until sort of ChatGBT-GBT-V-EVT-3.5 emerged and then ChatGBT-GBT-BT-4. I identified sort of a low-hanging fruit use case in helping optimize our site's content quality. So basically the way our product names, product short descriptions, product long descriptions, basically you as a customer, what you see on site when shopping for a product. I developed a system using generative AI to help optimize that content. And it's been super successful so far. That's sort of how I'd say that was sort of my in to the space.

And then since then, I've been involved in a variety of other generative AI initiatives as well, as well as sort of just on the training side of things as well. So I'm touring all around the company, both within the merchandising organization and outside of that organization, leading both short and long sessions, workshops, educational seminars, et cetera, to all different functional groups across the organization, and trying to make sure that we're at least all to a baseline level of knowledge when it comes to generative AI and what's going on in the world and sort of where we're headed. Wow, I love it. And I think there's such a great example right there.

If you miss that little piece there, Jack used AI to solve a problem at the company, even though there may not have been the kind of the architecture or that set up. I think that's a great use case. And, you know, for some companies, especially if you're smaller, you know, you might be that person, right? You know, maybe your company hasn't even embraced generative AI yet. And you're hearing that. So I'm actually curious, Jack, like, do you have any advice for other people out there that

are maybe in that position that, you know, maybe they don't work at a big, you know, a company as big as Walmart, but they're interested in Gen. And they know how to use it. How can people, you know, take that first step kind of like you did to, you know, create solutions with generative AI? Yeah. Yeah. Yeah.

That's a great question. I think that I wouldn't say that I'm an expert in that or anything. I'm still very young and I'm still learning every single day. Something that I have learned in my first year, though, is that there are a lot of things that people are never going to tell you to do when you're just starting out in your career. But nobody's going to complain when you go add a bunch of value. So, like, nobody told me, hey, Jack, go, like, go figure out how we can use generative AI to optimize content quality. Nobody told me, hey, Jack, get involved in a variety of different educational programs. Nobody told me to do any of that, right?

And so nobody cares about your career as much as you do. And if you're really passionate about something like Generative AI, go out and find the low-hanging fruit and then execute change. I love that. I love that. Just, hey, print that out, everyone, put that on a banner. But one thing that I've actually loved following Walmart's progress with Generative AI, because out of all the big companies, you know, that most of us experience or use or shop at, you know, daily or weekly, I think Walmart's actually putting out a lot of information on how they're using generative AI where other companies, you know, maybe we're not quite sure.

You know, Jack, I would love to talk a little bit about kind of the generative AI playground. You know, I've read about this a little bit, but explain to everyone what that is and, you know, kind of how Walmart is taking advantage of this playground that they've set up. Yeah, so the Generative AI Playground is a system that Walmart Home Office Associates have the ability to go in and access today. It's essentially, it's just a UI built into our, it's built into our internal firewall. And we've partnered with Microsoft, OpenAI, Google, so that within that generative AI playground, you have the option to select GPT 3.5, GPT4, Google BARD. And I believe more models are coming soon. I believe even open source models are coming soon. And you're able to interface with that,

just as you would interface with GPT 3.5 or GPT4 or BART or whatever you prefer to use, without the fear of any internal data you're inputting into that system leaking beyond our firewalls. So it's been an excellent space for both associates that, you know, had competence in external tools like GPT4. to come into the Walmart ecosystem and begin to experiment with work-related use cases. It's also been an awesome space where, like, if I'm going around and leading an educational workshop, I can encourage everyone in the room to hop on, try out the playground,

maybe do 15 minutes of unstructured prompting where they're just sort of seeing what's possible, and then I can provide them with some prompt structure, you know, provide some context, give the, give the AI system a role, give it a little more, more detail about what you wanted to do. And it's really cool to see people within, you know, a 20 or 30 minute session in that playground, like really figure out where it can go. And then what happens after that is people start to ideate and people say, oh, is it trained on this? Is it trained on this? Is it trained on this? And I say no, but let's go, let's go submit to our generative AI enablement team exactly what you need it to do. And we'll go find tune to

model exactly for what you're talking about. And so it's a great just sort of starting point for exploration for the organization. Yeah. I love that. And, you know, maybe maybe give, you know, our listeners and viewers an example of, you know, what someone might use that generative AI playground for. Is this, you know, as an example, maybe is this, you know, people in the marketing department ideating for new ad campaigns.

Is this to, you know, help, you know, campaign? are different vendors. I mean, I mean, what exactly, you know, might people be using this playground for and how does it help employees at Walmart? Yeah, I mean, we kind of say like at this point, the generative AI playground and generative AI in general is the starting point and not the ending point. So it's a lot of those starting point use cases at this time, at least within that system. I would say it's a lot of email drafting. It's a lot of brainstorming. It's a lot of product development, ideating, at least within the merchandising organization. And then I would imagine, too, I'm not as plugged in on marketing use cases, but I would imagine, too, that they're

brainstorming campaigns. And it's surprisingly good at like, if you ask Chatsyptee to create a brand out of thin air, like, it's surprisingly good at that. So it's happening all over the organization. I know I know legal has been really involved as well. The amount of, you know, PDF format text that they have to go in and analyze that they can now run through a system like this. The time save unlock here is just going to be insane. Wow. And, you know, maybe for those listening who are, you know, working at enterprise companies, because it's also very curious to me because so many,

Early on, right, when, you know, chat GPT kind of, you know, first hit its peak, I'd say, you know, early in 2023. So many companies were very quick to just bought like ban, right, ban generative AI because they didn't understand it. And it seems like Walmart was was not in that field. They, you know, embraced it and they're using it to their advantage. So can you maybe not even from your official Walmart role, but can you maybe even just talk a little bit about the enterprise landscape and why some companies are maybe, you know, adopting to Gen A.I. faster than others. Yeah, I mean, you saw early on, I think it was just the idea of newness there. And like, it was so unknown when when 3.5 and 4 emerged. And even now, it really is so unknown.

People don't have a lot of clarity on where the outputs are coming from. People don't have a lot of clarity on the legal and ethical complexities around this space. There hasn't been probably sufficient regulatory guidance passed down on what organizations should and could do. And so I think a lot of companies, and especially, I mean, you saw with Samsung and Target and a couple of other key enterprises that there were issues with data leaks through third-party systems. And I think organizations saw that happening and they wanted to put the brakes on because they couldn't control what was happening at the time. Fortunately, Walmart didn't run into any major issues like that. And I know several teams that worked really, really hard to stand up that generative AI playground

early and it wasn't perfect when it launched and it's still not perfect. And we have a long, long way to go. And it's going to be an uphill battle. But standing up, that internal environment where associates could go play, essentially, with no fear of losing their job over what they input into the system. That's when things turned around for Walmart. And I know that our leadership, Doug McMillan, our CEO, Donna Morris, our chief people officer, Cheryl Aenoa, who leads tech for Sam's Club now, there's been several major, major champions of this technology since the very beginning. I know that Walmart historically has been sort of a second mover when it comes to emerging technology. If you think about e-commerce,

you know, we're still sort of catching up to Amazon in that regard, but we're making significant strides there as well. And I think leadership didn't want that to be the case with this technology. And so the direction has kind of been, let's run, let's run safely and minimize risk, but let's run. And that's been really, really cool to be a part of. And, you know, speaking of that, because, you know, we've been talking a little bit so far about different ways that Walmart's using it for kind of internal purposes, which I think is fantastic. But that's not where the story ends here. But, you know, maybe, Jack, I'm wondering if you can talk a little bit about ways that Walmart is already and is planning to kind of tap into generative AI also on the customer side, because I've seen

some new stories, you know, about kind of a smart AI chat that's available on the website. I'm sure it's, you know, continually changing and improving. But maybe talk a little bit about how Walmart is leveraging generative AI to make it better for its millions of customers, you know, throughout the world. Yeah, definitely. I think the reason you've seen the majority of the use cases spring up on the associate productivity side of things is just because the lower hanging fruit is there. And it's also relatively safer to, you know,

initiate associate-facing use cases. As the customer's experience is the top priority, and there's a lot of questions around, you know, is the customer ready for generative AI? What degree are they ready for generative AI? But you will see a variety of different customer-facing use cases come to play here within the next couple of years, one of which is a generative AI enhanced search function.

So you think about the way that you might search things in the Walmart app or on Walmart.com, at the moment and you might say barbecue and then in the search bar what might be returned is probably a couple of barbecue sauces maybe a couple of barbecue grills it doesn't really understand what you're trying to get at when you type in barbecue right and and what this natural language search can help us do is convert that that barbecue search result to you know you're able to type in i am having a barbecue there are 12 people um it's going to be out side and the system will know, okay, you need hot dogs and hamburgers and buns and you might

need a spatula and do you need a charcoal grill and et cetera, et cetera, et cetera, right? Like it can help you create the whole event and basically remove friction from the process of whatever you're trying to buy. So I think that's going to be great. I think there's probably going to be initiatives to help customers find products within large store footprints. I think you'll see a variety of other initiatives come out within the next year, two years, three years.

I know teams are working very, very hard to create. Jack, that to me sounds wild, right? Like, it seems like such a, oh my gosh, of course, like use case, you know, for Walmart to have something like that. because not only obviously from the company standpoint, I think it's going to really help sales, but also I think it's a win-win because that makes things so much easier for the consumer as well. Because I'm sure if, you know, in your example, I'm having a backyard barbecue, you know, A, B, and C. I'm guessing this, this natural language processing, you know, smart chat agent from Walmart.

I'm sure there's a better name than that. But I'm sure it's going to think of things that us humans wouldn't think. of that's going to give us a better experience, right? Exactly, exactly. Yeah. There's so much data in Walmart systems, you know, and it's sort of just, there's so much latent potential in the data that is there. Obviously, it's super important that we're prioritizing data privacy and data responsibility. But I think that Generative AI is going to go so far in helping us create experiences, assortments that are very, very tailored to local and individual customer needs. I think that one of the huge challenges of Walmart is how do you retain this overarching

Walmart brand across 4,000 plus stores across the country while creating local experiences that satisfy the needs of customers, right? I think this is going to go a long, long way in helping us achieve that goal. 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 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. You know, again, let's maybe take off the Walmart hat here just for one second because I'd love to, you know, as someone I know you are always learning more, you're always sharing more on generative AI. But, you know, when it comes to just gen. Gen. A.I. in enterprise, where do you see

this going, right? Like the example of the Walmart chat for customers, I, love that. But you know, where else, especially on the enterprise, do you see this going? Because, you know, we kind of talked about the narrative early on where, you know, companies at first were like, nope, we're not touching it. And now it's, you know, leaders such as Walmart are taking advantage of it. And now other enterprise companies are maybe scrambling to catch up. And they're saying, oh, yeah, yeah, yeah, we've got a, you know, we were maybe wrong, you know, a year ago to say, you know, no, no this, no that. But where do you see this, this landscape heading, especially for those, those large companies, you know, are they all going to have their own, you know, large language

models in house? Is everyone going to be, you know, acquiring small companies to help create their own? Like, how do you see this space in general playing out? Yeah, it's, that's a really interesting question. And again, I would not consider myself to be an expert. I cannot read the future. I only know what I know from my experience. And, and what I'll say is that I, I think that a lot of the companies, even the companies that probably you have top of mind as companies that have said no, have banned chat GPT, have taken a stance against AI. I don't think that any of them are truly saying, or if there are any of them, I don't think very many of them are truly saying, yeah, let's just avoid exploring generative AI. Let's avoid investing in generative AI. It was probably much more of a, this is very early stages.

Let's pump the brakes and see what's going on here. and then let's make educated investments factoring in risk. So I think that most everyone will play in this space. It's like asking if all enterprises are going to play in the internet space, like in 1997. But the question is your question about, you know, will companies create their own foundation models? Will companies buy out other foundation models? Will they, you know, how will they move forward? And I think there's going to be a mixed bag.

I mean, I think you saw one of Walmart's major competitors partnered with, partnered with the foundational model within the last week or two. That was really big news. That's a very different approach than what Walmart has taken. We are very cognizant of the idea of vendor lock-in and the fact that with this AI hype cycle, right, like thousands and thousands of AI startups, even foundation models have come up over the last six months and continue to come out now. And although this is a technology that is here for the long term, there will be a short-term consolidation. And I think companies should be really,

really wary of locking in any sort of contractual agreements with AI third parties that may be at risk down the line. I think that the strategy is to make yourself as agile as possible to wherever this space leads you. And that's what we're trying to do. Not to tie it back to Walmart, but that's just the lens through which I view it. It's such a good point, though, because even, you know, take like if we're not even talking enterprise,

I think that's even a great mindset and a great piece of advice Jack just gave there because, you know, the reality is this, right? You know, chat GPT is coming out with their, you know, and they've already rolled out their enterprise version, Microsoft BingChat, Enterprise version. You know, Microsoft 365 co-pilot is coming soon. So yeah, so many of these smaller, you know, you know, startup gen AI companies, there may or may not be a utility for them, right? Like,

like Jack, I'd love to hear your take on that, you know, even specifically with with new features in chat GPT. You know, do you do see like once these big releases are out in the wild, you know, specifically those three I mentioned? Are we going to be talking about these, these small? models or smaller startups less? I wish that I could say no. I love it. I love it. I think that competition is great for the space.

And I do think that there is merit to, especially to open source. However, I think that with the amount of data that Open AI has captured and that Google has captured over the last 20 years, let's just say, I think it will be a very tough battle competing with. either of them long term. So much money, so much resources and so much data behind those two projects. And it's hard for me to imagine that they won't be able to drive costs down enough in their model to make it a feasible solution for the majority of enterprises across the world. I love it. I love it. You know, I can't, we're actually sorry and apologize, everyone joining this live. Our commenting system is not really working. But, you know, Mike just said, know, wise beyond his years for Jack, because I think that was a great take there. One question we do

have here. Let me scroll and get it here. So, so Ben, great question and, you know, asking, you know, is this technology, you know, such as chat GPT, you know, at Walmart? Is it being used for things like, you know, supply chain, inventory? Like, I guess are some of these, you know, new technologies, are they being incorporated where presumably like you all have had these. systems, you know, up and running for decades. So, you know, are you, are teams using these kind of the same type of systems that the rest of us are using on a day-to-day basis? When it comes to supply chain and inventory management, definitely Walmart has been using AI in supply chain and inventory management for a long time, not necessarily generative AI, but I,

again, I'm not as plugged in on the supply chain side of things. But I do know that there are initiatives underway to integrate and enable generative AI over there. And then what was the, what was the follow up for that question, Jordan? I think I think you hit, I think you hit both both sides of it there. It was yeah, inventory management and supply chain. So yeah, I think we covered it. Awesome. All right.

So we've, we've been a little bit all over the place, Jack. We've learned about what Walmart's doing both, you know, for, its employees in the generative AI playground. We've talked about how consumers and shoppers are going to be able to better leverage some of these generative AI offerings, you know, being able to chat with the, you know, kind of Walmart assistant. But I'd really love, what is your, you know, as we wrap up here, what is your one kind of takeaway? Maybe for people, whether they're enterprise employees, trying to, you know, create kind of some initiatives to push something forward, or maybe they're just business owners, you know,

trying to best use generative AI. So in your experience, what is your piece of advice for individuals to kind of leverage this technology and move their careers or companies forward? That's a really tough question. And I would say that the thing that I have gotten the most value from is honestly, through my personal life, I have learned to manipulate the machine much, much, much more effectively. Like, I go direct to chat GPT4 for literally everything, my scheduling, meal planning, fitness planning, a variety of other points within my day. I'm using chat GPT4 to help with.

And through that, I've basically learned how to get what I want out of any given model. And I've taken that to work with me. And it makes me much, much, much more effective at work. but I would say stay on top of the space like curate your social media feed social media especially LinkedIn is an underrated way of staying on top of what's going on it really doesn't take much more than 10 or 15 minutes a day of browsing and if you have your feed set up correctly you should know what's going on Jordan is great for that and I can recommend several other accounts as well I'm sure Jordan can as well but yeah just play and explore and learn how to manipulate the machine better is my one big advice. And then I have one more kind of like a

kind of a preacher moment that I'd like to share too. If you let me know, I think that if you look past, if you look into the past at any major technological innovation and you picture the world like it's a wave, right, like a sound wave or a light wave with the top of that wave being what's possible that is good and the bottom of that wave being what's possible that is bad or evil. Any emerging technology, any disruptive technology is going to expand the amplitude of that wave. So it's going to expand what's possible that's good and it's going to expand what's possible that is evil. And I think that's especially true with AI, I think that historically, just because of, I don't

know if it's the way our economic system is set up or what it is, but I think we've done a very, very good job as society at reaping the upside to that increase in amplitude. I don't think we've done a very good job at mitigating the downside to that increase in amplitude. And I'm worried about what happens with this technology if we don't make concerted efforts to get out in front of that now. And so sort of my preacher moment thing is to say like, it's going to be my generation, it's going to be your generation, it's going to be probably everyone that's on this call that these major questions and these major issues are going to be up to heading into the future. And my whole thing is just don't bury your head in the sand, stay attached to the space,

develop an opinion whether it's positive or negative and stand for it hard. Y'all, we just, wow, we got not only in today's episode, an inside look at how one of the largest companies in the world is using generative AI, but we got ample bulletboard, motivational advice from our friend Jack Adams. Jack, thank you so much for joining the Everyday AI show. We really appreciate it. Thank you so much. All right.

And hey, as a quick reminder, everyone, we covered so much. And there's so much more to cover. There's a lot of other really great ways that we just didn't have time to share about how Walmart's using generative AI. So if you haven't already, make sure you go to your EverydayAI.com. Sign it for that free daily newsletter. We're going to be recapping everything we talked about with Jack, all the things we couldn't get to and a whole lot more. So make sure you go sign up for that. And I hope to see you back for another day of every day AI.

Thanks y'all. Meet Firefly AI Assistant. Now live in Adobe Firefly, the Allman One Creative AI Studio. Just describe what you want to create in your own words and the assistant handles the rest, orchestrating multi-step workflows across Adobe Creative Cloud apps, including Photoshop, Premiere Express, and more in one conversational interface. You direct the outcome while the assistant accelerates execution. stand control with the ability to step in and refine at any time.

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.