Ep 116: Using Gen AI in the Enterprise Space – Insights From Walmart
Join the discussion:Ask Jack and Jordan questions about AI and enterprise
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Artificial Intelligence (AI) is transforming businesses and industries at an unprecedented rate. In the latest episode of the Everyday AI podcast, the hosts delve into the intriguing world of generative AI’s impact on enterprise productivity. As a business owner or decision-maker, understanding the potential of generative AI is crucial to stay ahead in this rapidly evolving landscape.
Accelerating Adoption in the Enterprise Sector:
While initial skepticism surrounded the use of generative AI, enterprise companies, much like the case of Walmart mentioned in the episode, are now actively embracing this technology. Walmart’s story serves as an inspiring testament to the potential of generative AI in optimizing enterprise operations, improving customer experiences, and ultimately boosting profitability.
Driving Enterprise Productivity:
Generative AI is primarily being utilized to enhance associate productivity within enterprise organizations. The podcast underlines how this AI technology is being used to streamline tasks, optimize content quality, and search functions. For instance, the implementation of natural language processing in chatbots enables accurate user intent comprehension, leading to better customer experiences.
The Future of Generative AI in Enterprises:
Looking ahead, the podcast provides insights into the exciting prospects of generative AI for enterprise organizations. As AI technologies advance, the host speculates that companies may even create their foundation models or acquire existing ones, citing a recent notable partnership in the industry. The potential impact of enterprise versions of chat GPT and Microsoft 365 Copilot is also discussed, emphasizing the significant strides being made in this field.
Addressing the Challenges and Ethical Considerations:
While generative AI promises immense benefits for businesses, the podcast emphasizes the importance of cautious investments and considering the associated risks. The hosts stress the need for a proactive approach in addressing potential challenges and mitigating any negative impacts.
In this rapidly evolving era of AI, generative AI stands out as a game-changer for enterprise productivity. As demonstrated in this episode of Everyday AI, forward-thinking companies like Walmart and Meta are leading the way in leveraging the power of generative AI to optimize operations, enhance customer experiences, and stay ahead of the competition.
By embracing generative AI and staying abreast of the latest advancements, business owners and decision-makers can position themselves to thrive in this AI-driven future. Let us embark on this transformative journey together, leveraging the immense potential of generative AI to unlock new levels of enterprise productivity and propel our organizations toward continued success.
Topics Covered in This Episode
1. The interest in generative AI and analyzing data
2. AI in product usage and marketing
3. Bottom-up approach in product marketing and the use of bots
4. Implementing AI in the workplace and its impact on employee effectiveness
Jordan Wilson [00:00:17]:
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 wanna 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 livestream podcast and free daily newsletter. So if you’re joining us live, make sure to get your questions in about whatever you wanna know about How enterprise companies are using Gen AI. Let me know. If you’re joining on the podcast, thank you as well.
Daily AI news
Jordan Wilson [00:01:03]:
Make sure to check out the show notes as always for a ton of other information. But let’s let’s talk about what’s going on in the world of AI news first. So Meta making a huge splash with AI and advertising. So Meta just announced, its 1st 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 6 variations of text based on the advertiser’s original copy. So this is an interesting move from Meta as we see, advertisers take some of the or or 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.
Jordan Wilson [00:01:54]:
So, pretty 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 Stardust, A new object aware editing engine. So, the Adobe MAX creativity conference is next week.
Jordan Wilson [00:02:21]:
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 it’s gonna be going a lot a lot of back and forth here. We’re gonna be seeing over the next couple of weeks on on whose Kind of, AI designs, AI features and the design platform are better. And and probably take take a look at today’s newsletter. We’re probably gonna give an over, An overview of, Canvas. Last but not least, have the tables turned on AI.
Jordan Wilson [00:03:04]:
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.
Jordan Wilson [00:03:40]:
I’m excited about 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.
About Jack Adams and his role in AI at Walmart
Jordan Wilson [00:03:59]:
I’m excited. You you know, everyone’s ready. Good morning. Peter, good morning. Thank you, everyone, for 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 enterprise level. So, very excited to bring on my guest for today.
Jordan Wilson [00:04:20]:
Please help me welcome Jack Adams. The, he’s an associate merchant and Gen AI champion at Walmart. Jack, thank you for joining us.
Jack Adams [00:04:28]:
Yeah. Thank you for having me, Jordan. It’s it’s awesome to be here, and I and I like your, your bit about the mind reading of AI. We’re We’re taking a step to fight back. We’re fighting back already.
Jordan Wilson [00:04:38]:
Yeah. I think I I think there’s been so many things with with, you know, the AI reading Human mind. So, you you know, when I saw that piece of news, I’m like, alright, humans. We’re gonna chalk chalk 1 up for us. Right?
Jordan Wilson [00:04:51]:
That’s awesome. Yeah. So, Jack, I mean, I I 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 AI champion there.
Jack Adams [00:05:06]:
Yeah. Yeah. So I’ve been I’ve been in the Walmart ecosystem for about 3 years now. I was, an intern for for 2 summers in a row, actually, while I was at University of Alabama getting my degree in in math and finance. I actually did about 6 months in Walmart stores as I was finishing up my degree, and then I just completed a 12 month rotational 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 and l of that business. In addition to those responsibilities, about 6 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, and nobody was really thinking about Gen AI. Intel sort of, ChatGBT 3.5 emerged and then and then Chat ChatGBT 4. I identified sort of a low hanging, fruit use case in in helping optimize our site’s content quality.
Jack Adams [00:06:18]:
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’ve I developed a system using generative AI, to help optimize that content, and it’s it’s been super successful so far. That’s sort of how I 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 The merchandising organization and outside of that organization, leading both short and long sessions, workshops, educational seminars, etcetera, to all different functional groups across the organization, 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.
Jordan Wilson [00:07:15]:
Wow. I love it. And I think there’s such a great example right there. If you if you miss that little piece there, Jack used AI to solve a problem at the company even though there, you know, may not have been the, Kind of the the architecture or that setup. I I I 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 you know, maybe your company hasn’t even, embraced generative AI yet, and and you’re hearing that. So I’m actually curious, Jack.
Pursuing a gen AI role
Jordan Wilson [00:07:45]:
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 co company as big as Walmart, but they’re interested in Gen AI and 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
Jack Adams [00:08:04]:
AI. Yeah. Yeah. And that’s a great question. I 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 1st year though is that There are a lot of things that people are never gonna tell you to do when you’re just starting out in your career, but nobody’s gonna complain when you go add a bunch of value. So, So, like, nobody nobody told me, hey, Jack.
Jack Adams [00:08:27]:
Go, like, go figure out how we can use generative AI to optimize content quality. Nobody told me, hey, Jack. Get involved In, 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 And if you’re really passionate about something like generative AI, go out and find the low hanging fruit and then execute change.
Walmart’s Generative AI Playground
Jordan Wilson [00:08:50]:
I love that. I love that. Just hey. Print that out, everyone. Put that on a banner. You know, but, one thing that I’ve I’ve I’ve actually loved, following, Walmart’s and 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.
Jordan Wilson [00:09:22]:
You know, I’ve read about this a little bit, but, explain to everyone what that is and, you you know, kind of how Walmart is taking advantage of this playground that they’ve set up.
Jack Adams [00:09:30]:
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, GPT 4, 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 with that just as you would interface with, GPT 3.5 or GPT 4 or Bard or 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 GPT 4, 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 the playground, maybe do 15 minutes and 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.
Jack Adams [00:10:57]:
Give it a little more detail about what you wanted to do, and 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 we’ll go fine tune a model exactly for what you’re talking about. You know? And so it’s it’s a great just sort of starting point for exploration for the
Jordan Wilson [00:11:32]:
organization. Yeah. I love that. And and, you know, maybe May maybe give, you know, our our listeners and viewers, an example of, you you know, what someone might use that generative, AI playground 4. Is this, you know, as an example, maybe is this, you know, people in the marketing department ideating for new new ad campaigns? Is this to, You know, help, you know, compare different vendors. I mean I mean, what exactly, you know, might people be using, this playground for, and and how does it help, employees at
Jack Adams [00:12:02]:
Walmart. Yeah. Yeah. I mean, we kind of say, like, at this point, the generative AI playground and generative AI in general is the starting and 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.
Jack Adams [00:12:26]:
And then I would imagine I’m not as plugged in, on marketing use cases, but I would imagine too that they’re brainstorming campaigns. And and, It’s it’s surprisingly good at, like, like, if you ask Chechipti to create a brand out of thin air, like, it’s It’s surprisingly good at that. So it’s it’s happening all over the organization. I know I know legal has been really involved as well. The 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 gonna be insane.
AI in the enterprise landscape
Jordan Wilson [00:13:04]:
Wow. And, you know, maybe for those listening who are, you know, working working at enterprise companies, because it’s 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 and it it seems like Walmart, was was not in that field. They 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 AI faster than others.
Jack Adams [00:13:55]:
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 3.54 emerged, and and even now, it really is so unknown. People don’t have a lot of clarity on where the 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 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 with data leaks through third party systems. Mhmm.
Jack Adams [00:14:41]:
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 when it launched, and it’s still not perfect. And we have a long, long way to go, And it’s gonna be an uphill battle. But standing up that internal environment where Where associates could go play, essentially, with no fear of losing their job over what they input into the system. That’s 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 I know who 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 that Walmart historically has been sort of a second mover when it comes to emerging technology.
Jack Adams [00:15:45]:
If you think about ecommerce, 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.
How Walmart uses AI for its customers
Jordan Wilson [00:16:08]:
And, you know, speaking of that, because, you 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 is fantastic, but that’s 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 that Walmart is already and is planning to, kind of tap into generative AI also on the customer side because I’ve seen some news stories, you 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 its millions of customers, you know, throughout the world.
Jack Adams [00:16:53]:
Yeah. Definitely. I 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 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 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.
Jack Adams [00:18:03]:
There are 12 people. It’s going to be outside, and The system will know. Mhmm. Okay. You need hot dogs and hamburgers and buns, and you might need a spatula, and, Do you need a charcoal grill and etcetera, etcetera, etcetera. 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 gonna be great. I think, there’s probably going to be initiatives to help customers find products Within, large store footprints.
Jack Adams [00:18:38]:
I think you’ll see a variety of other initiatives come out within the next year, 2 years, 3 years. I know teams are working very, very
Jordan Wilson [00:18:46]:
hard, to create Just Jack, that that to me sounds sounds wild. Right? Like, It seems like, such a, oh my gosh, of course, like like like like use case, you know, for Walmart to have something like that, because not only, obviously, from the company standpoint, I think it’s it’s it’s gonna 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 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 gonna think of things that us humans wouldn’t think of. That’s gonna give us a better experience. Right?
Jack Adams [00:19:36]:
Exactly. Exactly. Yeah. There’s so much data in in Walmart systems, you know you know, and and, it’s sort of just There’s so much latent potential in the data that is there. Obviously, it’s it’s super important that we’re prioritizing Data privacy and and, data responsibility. But I think that generative AI is gonna so far in helping us create experiences, assortments that are very, very tailored to local and 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 and That satisfy the needs of customers. Right? I think this is gonna go a long, long way in helping us achieve that
Jordan Wilson [00:20:31]:
goal. You know, again, let’s, let’s maybe take off the the Walmart hat here just for one second because I’d love to you you know, as someone I know, You are you are always learning more. You’re always sharing more on generative AI. But, you know, when it comes to just, Gen AI in enterprise, Where do you see this going? Right? Like like the example of the the the Walmart chat for customers, I love that. But, you 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.
Future of AI in Enterprise
Jordan Wilson [00:21:12]:
Yeah. Yeah. We’ve gotta you know, we were maybe wrong, you know, a year ago to 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, is are they all gonna have their own, You know, large language models in house.
Jordan Wilson [00:21:28]:
Is everyone gonna be, you know, acquiring small companies to help create their own? Like, how do you see this this space in general playing out?
Jack Adams [00:21:36]:
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 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 ChatGPT, 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 let’s just avoid exploring generative AI. Let’s avoid investing in generative AI.
Jack Adams [00:22:15]:
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 it’s like asking If if all enterprises are gonna play in the Internet space, like, in 1997. But 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 and I think there’s gonna be a mixed bag. I I mean, I think you saw one of Walmart’s major competitors, partnered with Partnering with the foundational model within the last week or 2, that was really big news. It’s a very different approach than than what Walmart has taken. We are are very cognizant of the idea of vendor lock in and the fact that with this with this AI hype cycle, right, like, Thousands and thousands of AI start ups, even foundation models have have come up over the last 6 months and continue to come out now.
Jack Adams [00:23:22]:
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, that may be at risk down the line. I I 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.
Will enterprise-level LLMs make smaller LLMs obsolete?
Jordan Wilson [00:23:52]:
It’s it’s such a good point though because, even even, you know, take like, if 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 g p t is Coming out with their you know, and they’ve already rolled out their enterprise version. Microsoft Bing chat enterprise version. You know, Microsoft 365 Copilot is coming soon. So, yeah, So many of these smaller, you know, you know, start up gen AI companies, there may or may not be a utility for them. Right? Like, like, Jack, I’d I’d 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 you see, Like, once these big releases, are out in the wild, you know, specifically those 3 I mentioned, are we gonna be talking about these these Smaller models or smaller start ups less?
Jack Adams [00:24:50]:
I wish that I could say no. I love it. I love it. I think that 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 OpenAI 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 2 projects, and it’s hard for me to imagine that that they won’t be able to drive costs Down enough in their model to make it a feasible solution for the majority of of enterprises across the world.
Jordan Wilson [00:25:37]:
I love it. I love it. You know, I can’t, we’re actually sorry and, apologize to everyone joining us live. Our commenting system is is not really working, but, you know, Mike just said, you know, wise beyond his years, for for Jack because I think that was a a great take there. One One question we do have here. Let me let me scroll and get it here. So so, Ben, great question in, you know, asking, you know, is 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 you you all have had these systems, you know, up and running for for decades.
Jordan Wilson [00:26:20]:
So, you know, are you, are are teams using these kind of, the same type of systems that the rest of us are using on a day to day basis?
Jack Adams [00:26:28]:
When it when it comes to supply chain and inventory management, definitely, wal Walmart has been been using AI in supply chain and inventory management for a long 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 that there are initiatives underway to integrate and enable generative AI over there. And then what was the what was the follow-up to that question, Jordan?
Jordan Wilson [00:26:54]:
I I think I think you hit, I think you hit both both sides of it there. It was yeah. In, inventory, management, And, supply chain. So, yeah, I think I think we covered it. Alright. So we’ve we’ve been a little bit All over the place, Jack. We’ve we we we 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, you know, are are are gonna be able to better leverage, some of this, these generative AI offerings, you know, being able to chat with You you know, kind of Walmart assistant.
Jack’s advice for leveraging AI
Jordan Wilson [00:27:31]:
But I 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.
Jack Adams [00:28:01]:
That’s a really tough question, and and I would say that the thing that I have gotten the most value from is, honestly, through my personal life. Mhmm. I have learned to manipulate the machine much, much, much more effectively. Like, I go direct to Chat GPT 4 for literally everything, my scheduling, meal planning, fitness planning, a variety of other points within my day I’m using Chat gpt 4 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.
Jack Adams [00:28:54]:
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 1 more kind of, like, a kind of a preacher moment that that I’d like to share too
Jordan Wilson [00:29:20]:
if if you let me. Help.
Jack Adams [00:29:22]:
I think that if you look past If you look into the past at at any major technological innovation, and you 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 gonna expand what’s possible that’s good, And it’s gonna 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 my preacher moment thing is to say, like, it’s gonna be my generation. It’s gonna be your generation. It’s gonna be Probably everyone that’s on this call that these major questions and these major issues are gonna be up to heading into the future.
Jack Adams [00:30:37]:
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.
Jordan Wilson [00:30:47]:
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 bullet board motivational advice from, our our friend, Jack Adams. Jack, Thank you so much for joining the Everyday AI Show. We really appreciate
Jack Adams [00:31:07]:
it. Thank you so much.
Jordan Wilson [00:31:08]:
Alright. Hey. And, hey, as a quick reminder, everyone. We covered So much, like and 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 to share about how Walmart’s using generative AI. So, if you haven’t already, make sure you go to your everyday AI .com. Sign up for that free daily newsletter. We’re gonna be recapping everything we talked about with Jack, all the things we couldn’t get to, and And a whole lot more.
Jordan Wilson [00:31:32]:
So make sure you go sign up for that. And I hope to see you back for another day of everyday AI. Thanks, y’all.