Episode Categories:
Resources
Join the discussion: Ask Jordan and Ronnie questions on 6G and AI
Related Episodes: EP 184: On-Device AI: What it is and do we need it? What no one’s talking about
Ep 264: AI-Powered Devices: Do we actually need them?
Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Connect with Jordan Wilson: LinkedIn Profile
Try Our Free AI Prompting Course: Register for our free Prime, Prompt, and Polish AI Course!
The Emergence of Edge AI and On-Device Language Models
Key changes are initiating a transformation in the digital sphere; the rise of edge AI and on-device large language models are altering the way we communicate and work. Enabling powerful and advanced language models within handheld devices provides users with unprecedented communication capabilities and enhanced productivity. Also being explored is the potential for on-device language translation, which could significantly enhance both personal and business connections globally.
Envisioning Future Communication Possibilities
The arrival of robust capabilities such as visual collaboration and autonomous vehicles open up new possibilities for daily communication. These advancements, however, require a network capable of supporting them and presents potential challenges for both developers and users. What exists is an urgent need to understand what the network of the future is capable of handling in terms of technological demands, especially with the deployment of internet-connected large language models on humanoid robots and computer vision systems.
Spotlight on 6G and AI
The critical elements on the horizon for mobile and AI include 6G, expected to further revolutionize AI integration for regular use. 5G focussed on increasing communication speed and improving coverage, thereby ushering in significant infrastructural changes. Meanwhile, 6G intends to take these developments further by leveraging AI, thereby transforming day-to-day activities by introducing use cases such as inference on phones, autonomous vehicle controls, and connected robots.
Meeting the Network Capacity Challenge
Intersecting AI with telecommunications can have transformative effects concerning infrastructure, services, and capabilities. However, the implementation of these advancements could potentially bottleneck as AI and edge AI expand. The capacity loophole will be tackled by the sustained support of the evolved 5G network until the full transition to 6G.
Undoubtedly, these bottlenecks present challenges, but they are also opportunities for companies like NVIDIA, which remain at the forefront of leveraging generative AI. Several telecom operators worldwide are working on creating new business models and providing innovative services. The AI-communication collaboration brings about a unique transformation of infrastructure and services, promoting intelligent edge capabilities along with novel AI-driven business models.
Exploring the role of AI in Telecommunications
Understanding the connectivity constraints in wide area networks, visual engagement constraints, and challenges with video generation emphasizes the necessity for advancements in telecom infrastructure. Advances in this area would allow businesses to unlock greater monetization opportunities, enable the convergence of connectivity and compute, boost productivity through autonomous operation, and foster the potential for even more AI applications in the 5G and forthcoming 6G networks.
Conclusion
Given the transformative potential of AI in the telecommunications industry, its future appears bright, promising substantial productivity and connectivity improvements for both operators and users alike. As we move forward and adapt to these advancements, we can look forward to a future where AI and telecom networks work together in facilitating efficient and innovative communication.
Topics Covered in This Episode
1. Edge AI and on-device large language models.
2. Intersection of AI and 6G
3. Role of NVIDIA in 6G and AI
4. Learning Opportunities and the Value of 6G
5. Future communication possibilities
Podcast Transcript
Jordan Wilson [00:00:17]:
We're on our phones kind of all day. Right? Communicating with the rest of the world, talking to our colleagues. There's so much that we can accomplish on the go now. But what about when we think about the future in in AI? Right? There's a good chance many of us are on a 5 g network right now, but what about 6 g? What comes next for the future of mobile, the future of AI, and how those two areas intersect? We're gonna be talking about that today with one of the leaders in the industry from NVIDIA about this exact thing. So I'm extremely excited for today's episode, 6g and AI, the future of communication in your pockets. Alright. What's going on y'all? My name is Jordan Wilson, and this is Everyday AI, and this is for you. This is your daily guide on how to learn what's happening in the world of artificial intelligence and how we can use generative AI to grow our companies and to grow our careers.
Jordan Wilson [00:01:15]:
So if that's you, you are in the right place. If you're listening on the podcast, appreciate it. As always, make sure to check out your show notes for more on today's conversation because we're gonna be recapping all of the important takeaways in our newsletter that you can get right now if you go to your everydayai.com. Sign in it sign up for free. So before we get started on today's conversation, let's talk about what's going on in the AI news. So first, regulators in the US and Europe have united to protect competition in the AI industry. So the Federal Trade Commission, the FTC, an international antitrust enforcer from the EU and the US Department of Justice have jointly committed to safeguarding competition within the rapidly evolving AI ecosystem. So this, initiative that they released a joint statement on aims to ensure fair and honest treatment for both consumers and businesses addressing the significance competition risk posed by AI.
Jordan Wilson [00:02:10]:
So this joint statement, and you can read that in today's newsletter, it emphasizes vigilance against tactics that could undermine fair competition or lead to deceptive practices within the AI landscape. Alright. Our next piece piece of AI news, we just slipped this into the newsletter yesterday, but missed it for the podcast. But Mistral has released a flagship new AI model called large 2 challenging open AI and meta. So Mistral has unveiled its latest AI model, Large 2, which the company claims rivals the latest models from OpenAI and meta in terms of cogeneration, mathematics, and reasoning. The release of large 2 comes literally just a day after Meta launched its own open source large model, llama 31405b. And right after OpenAI said fine tuning on its new GPT 4 o mini model would be free through September. So large to boast superior performance in cogeneration and math, achieving this with only a 123,000,000,000 parameters compared to llama 3 ones, 405,000,000,000 and the old school, quote, unquote, GPT 4 that had 1.8 trillion parameters.
Jordan Wilson [00:03:20]:
So these models are getting smaller and more powerful. And the, model is available on platforms like Google's Vertex AI, Amazon Bedrock, Azure AI Studios, IBM Watson X, etcetera, and on Mistral's own website. Alright. Last but not least, here's a funny one. So Google has launched a, quote, golden prompt competition to enhance the effect effectiveness of its AI products with winners receiving unique prizes. This initiative aims to improve AI driven productivity, within the Google workforce and collaboration tools in real world applications. So Google announced their golden prompt competition for its Gemini workspace product, encouraging their employees to create efficient AI instructions. The competition aims to improve AI driven tools like emails, calendars, and Meet.
Jordan Wilson [00:04:07]:
Winners receive golden bomber jackets with a white Gemini symbol or, spot bonuses. Alright. So, much more happening in the world of AI news. We'll be going over that in the newsletter and more on those stories. So if you haven't already, make sure to go to your everyday ai.com and sign up for that free, free daily newsletter. Alright. Let's get into today's conversation. Hey.
Jordan Wilson [00:04:31]:
Good good morning, and and thanks for joining us live, everyone. Michael and Rolando, Fred and Christopher, Chris, Jason, everyone. Thanks for joining us. If you have questions, get them in now because I'm excited for today's guest. We're gonna be talking about 6g and AI, the future of communication. Extremely excited for this one. So please, help me welcome to the show. There we go.
Jordan Wilson [00:04:53]:
We got him. Ronnie Vasishta, who is the senior vice president of telecom at NVIDIA. Ronnie, thank you so much for joining the Everyday AI Show.
Ronnie Vasishta [00:05:01]:
Well, thank you very much for having me, Jordan. Looking forward to a good conversation.
Jordan Wilson [00:05:05]:
Yeah. And and, hey, you you know, you podcast listeners, you gotta understand this is a live stream as well. So shout out to Ronnie for waking up at 5 ish AM and joining us West Coast time. But, Ronnie, can you tell us a little bit about what you do in your role at NVIDIA?
Ronnie Vasishta [00:05:19]:
Sure. Yeah. So, as you said, senior vice president of tech, telecom at NVIDIA, and my role is responsibility for NVIDIA's, telecom initiatives. And that's a very broad range, which I'm sure we'll get into some parts of that range in this conversation. A very broad range of, areas. Everything from the infrastructure that supports the telecommunications network and how NVIDIA accelerated compute, can really is changing the landscape of that infrastructure, which has been it's a big task because that's, infrastructure has been around the same form of infrastructure for for quite a few decades. And then all the way to how, telecommunication networks are being used and how it provides services, which, of course, are becoming more, AI centric, but, even video over telecommunications network. So whether it be for businesses or consumers and how do you interact with the telecommunications network, meaning on your phone, etcetera.
Ronnie Vasishta [00:06:25]:
So a lot of new services and capabilities that, NVIDIA platforms can offer, over the network.
Jordan Wilson [00:06:33]:
And and, Ronnie, I kinda wanna start here with the basics. Right? Because even I'm not sure. Right? Like, I it's like I knew when 5 g first came out, I'm like, oh, that means, you know, communications will improve and, yeah, people will be able to stream videos to their phones. What does 6 g mean for both, you know, consumers but also for businesses? Because, you know, I think a lot of people just see it as another, you know, ladder out there and they're like, okay. This just means something's gonna be faster, but let's just talk about 6 g first. What does this mean for the future of communications and when might we all be seeing 6 g kind of out in the wild?
Ronnie Vasishta [00:07:09]:
Yeah. So maybe I'll take the last piece first, which is generally every, 10 years, you, it it varies a little bit, but generally every 10 years, you see a new g. And the 3 g p p standards develop a a a new node or a new g. So, yeah, probably around 2028 to 2030 is the current estimation of when 6 g will be deployed into the for you and I. So what is 6g? Well, we're still, as an industry, in the process of defining what is 6 g. What has happened traditionally, and I would say in 5g, it really happened more, is that there's certain types of use cases of the network that that start defining the concept of what is that g. Let me give you an example. In 5g, it was, to some extent, it was around, like, machine to machine communication.
Ronnie Vasishta [00:08:12]:
It was the ability to provide lower latency network, meaning that you could control things in a, a a more efficient way. The reality is probably not many of those, applications have really come around in the 5g space. 5g has been predominantly around faster, communication throughput and speeds. So you can watch videos on your phone, download videos, upload videos in a more efficient way, even improved coverage. There have been changes in the infrastructure underneath the 5 g network that have enabled those kind of things to happen. As we look forward to 6g, 6g takes on the same kind of persona, which is use cases that will, drive the, the the 6 g, definition. However, these use cases, because of the advent of AI today, it's a really exciting time because there's enough time before the release of 6g to really infuse AI both in the infrastructure that provides the 6g network, but also the the use models. Things like inferring, inference on the phone, inference of applications such as, agents that you can talk to, any language, anywhere, lower latency, autonomous vehicle controls, such autonomous vehicles can become more prevalent and safer, the ability to provide, the, you know, robots, whether the robot being a a warehouse robot, an industrial robot, or a, a food delivery robot, things like that.
Ronnie Vasishta [00:10:07]:
But always connected all the time, making sure that the the fleet management aspect of these things are, is is very efficient. So there's just some examples of how 6 g will be, starting to transform the things that we do.
Jordan Wilson [00:10:23]:
And and speaking of transforming the things that we do, yeah, I mean, artificial intelligence and large language models has transformed everything, especially when it comes to communication. I don't know if this is a good or a bad thing even though I talk live to humans most days, you know, experts like yourself. I spend more time talking to AI bots than than I do humans. Right? So so where does artificial intelligence come into play, for the future of of telecoms and even, you you know, this 5g, 6g transition? How does AI, play into that equation?
Ronnie Vasishta [00:10:59]:
Yeah. So AI, think of it as broadly 2 separate things, but they are connected. In 6g, there's gonna be a much more important level of compute. The two things that I was referring is the infrastructure that provides a 6g connectivity. And there, we're gonna see the fusion of compute and connectivity, like to say, intelligently connecting intelligence. Up until now, 5g has been mostly around pipes that just transfer data. They haven't really been intelligent pipes. With 6 g, the infrastructure is gonna become much more intelligent that will have the fusion of compute and connectivity, as I say.
Ronnie Vasishta [00:11:44]:
And AI is gonna play a very important role in the infrastructure piece. In fact, how do you ensure that connectivity of the right latency of the right throughput is always there in a in a downtown urban environment versus a rural environment. AI is gonna make that and ensure that that can happen. How do you get spectrum is incredibly important and incredibly expensive. How do you improve spectral efficiency? Meaning, getting more data and more throughput and more connectivity out of the available spectrum. AI is gonna play a really important role in that. And then there's the second part. The second part is AI in terms of the services that are provided to whether it be to businesses or to individuals.
Ronnie Vasishta [00:12:39]:
The AI is gonna play a very important role in how you and I interact with the network and the services that can be provided over the network, whether it be in a in a business, in enterprise setting, like, in a port, in a transportation hub, in a warehouse, in a retail outlet, or whether it be, you know, a consumer, device. And it the devices are gonna change. We're gonna have, obviously, more headset availability. We're we're gonna have more reality on in the headset. We're gonna have the ability to have agents on our phone that you can book your travel and doctor's appointments and things like that. And you wanna have that connectivity accessible accessibility all the time. So think of it as infrastructure, AI plays a role, and services.
Jordan Wilson [00:13:37]:
So, you know, Ronnie, something you said in there, it's it's pretty interesting to me because, you know, you talked about all these new capabilities that, you know, AI and edge AI, you know, might bring into the fold. But then, you know, you also said it might be another 4 to 6 years and until we kind of see, you know, 6 g realized. So, you know, in the short term, right, when we're getting more and more, artificial intelligence, we're getting more edge AI, we're getting, you know, more and more agents to talk to, right, and and more AI to use. Is there gonna be almost a bottleneck period where we're getting so much innovation that's putting, you know, a lot of strain on our current communication systems. Like, is there gonna be this period for the next couple of years where, you know, maybe the systems are a little overloaded, until we kind of get this next 6 g iteration?
Ronnie Vasishta [00:14:27]:
That's a great question, John. You know, there's obviously, the the the 3 g p p standards are evolved. So while we talk about 5g, 6g, there's intermediate steps as well, like 5g advanced. And what we're gonna see is, some of these aspects infusing into the 5 g network as much as they can to support some of the the capabilities and features that you're talking about. And by the way, you know, as I said earlier, 5 g really hadn't lived up to its expectations or its design early on. And so we're gonna start seeing that evolution of 5 g advanced start to be able to promise that the low latency, the throughput type of the the machine to machine communication. And that will enable, quite a few of those, AI applications that I talked about. The infrastructure side of 6g and how AI becomes what we call an air native interface, for instance, meaning that AI is, AI air native interface, meaning AI enables that air interface and spectral efficiency to be enabled.
Ronnie Vasishta [00:15:38]:
That's going to be, I think, quite a game changer, and that will be a 6 g. So think of it as we as a a ramp up of these services and capabilities. And then the once 6 g's are, in place, we're gonna see more of an explosion of the capabilities of, of what we're ramping up to now.
Jordan Wilson [00:16:00]:
Speaking of capabilities and what we're ramping up to, NVIDIA for years now has been the leader in this space about, you know, allowing the rest of the world to create new technologies. Right? Whether we're talking about, compute, whether we're talking about, you know, different things in video games, communications. Right? And video has been at the forefront for all of this. With that in mind, what are you even personally in your role at least looking forward to when it comes to kind of this intersection of AI and how that changes communications. What are those things that you're even personally excited about new breakthroughs and enhancements?
Ronnie Vasishta [00:16:40]:
Yeah. So, I must say working at NVIDIA has been incredibly exciting, because of the, being at the forefront of many of these, technologies. And telecommunications is, is one of those areas, I think, that is, to use an overused term, transformed by, AI. The transformation is what is excites me in in what I do. We're already starting to see, of course, the the leverage of generative AI. And as I'm going in my daily work, we're starting to interface with many, many more telecom operators around the world. Some of whom are investing in AI infrastructure, AI factories. This is a completely new business model that hasn't been open to, a telecommunications industry that has been very traditionally focused on delivering consumers' connectivity.
Ronnie Vasishta [00:17:38]:
Now telecom operators around the world and, you know, I've been going around the world meeting many of them who are building investing capital in AI factories such that they can create new business models for the operator. The other things that we're is very exciting for us is we're starting to see some of these services that are be be being delivered. We're just at the very tip of the iceberg of how we interact with generative AI. You know, what kind of language models do we have on the phone? What kind of language models do we now have on a local compute? You use the word age in your question to me. You know, age has been talked about for a long time, but it hasn't really ever delivered on what it was meant to deliver on. Generative AI gives it the opportunity now to have a really intelligent edge that can deliver the services. So, again, exciting because infrastructure is changing dramatically. Services that are being delivered over the network are changing dramatically and are dependent upon the infrastructure.
Ronnie Vasishta [00:18:47]:
So every day, you know, at work, we're starting to see this transformation happening across our
Jordan Wilson [00:18:53]:
industry. You know what? I I I do wanna dive into that a little bit deeper here, edge AI, because I think, on device generative AI, on device large language models, and in my opinion, right, but this is why I bring on people way smarter than me. But I think that is going to change how all of us communicate both both personally and, you know, professionally through a company. And it also seems like even over the last week, right, we just talked at the top of the show about Mistral's new model getting smaller and smaller, open a OpenAI's model smaller. You know, Mattis LAMA smaller. As these models become small enough and powerful enough to actually fit on a smartphone, How does that change? Just, you know, not just how we work, how we speak, how we communicate, but how does that change what is possible when we can have a large language model running locally on our device that goes with us everywhere?
Ronnie Vasishta [00:19:48]:
Yeah. So there's always going to be a limitation around the level of compute on a device because of that battery power. And, of course, we all expect a certain level of, battery life on our device, whether it be a headset going forward or whether it be, a smartphone. Now the if you think about, use case can you can immediately say how valuable that is. You're in an environment where 5 languages are being spoken. You know, you've got a, an earphone and you're you're you're speaking in the language that you're native to, but you're hearing everybody's language translation coming to you in the language you're you're used to. And same for everybody else in that group. That kind of comp compute complexity, there needs to be a, accessibility to a compute power that probably isn't gonna fit on your phone.
Ronnie Vasishta [00:20:45]:
And that's what I was talking about edge, where you start to see these nodes of AI that have a latency capability. And in the fight in the course, in the case of video, a jitter capability also that can service you to meet that that, experience that you wanna have. So there's gonna be a, as I I mentioned earlier, intelligently connecting intelligence. There'll be a level of intelligence on the phone of inference capabilities, and there'll be a level of intelligence that has to be accessible close enough to the phone for that experience to be valid. And that's what, we're gonna start seeing more and more of. So, yes, we'll see intelligence on the phone, and, yes, we'll see a new topology of edge that hasn't been there today. And that's going to be orchestrated to a large extent by AI.
Jordan Wilson [00:22:33]:
You know, that use case right there, that example, I think is it's pretty profound. Right? And and that's something I think that we can think about how it impacts us personally and impacts how business can be done. Right? Like, if, if your phone in real time can can translate language with low latency, I mean, that really opens up a world of opportunities, for for everyone to connect in more meaningful ways. What are some other future pieces of communication, Ronnie, similar to that, that, you know, kind of when we talk about, you know, AI, edge AI, when we talk about stronger telecom networks, you know, 6 gs.
Jordan Wilson [00:23:30]:
What are maybe some other example use cases such as that that really might change, the way that we work or maybe change the way we can work and open up new possibilities.
Ronnie Vasishta [00:23:41]:
Yeah. I think one of the the one often talked about, but not realized yet is the collaboration aspect, whether it be visiting, a different part of the world, whether it be collaborating with work colleagues, for a design of a, a vehicle, a house, enabling your designer of your house to, you know, kind of interact with you as you in a real world environment as you walk through that that house or that factory yet to be built, and you're wearing headsets. And you're communicating with each other and the ability to provide that visual, collaboration experience as well. Mhmm. That I think is also a game changer. Visual collaboration with, real time audio and real time audio in the language of your choice. So these are kind of experiences. And then, of course, you know, autonomous vehicles and fleet management.
Ronnie Vasishta [00:24:42]:
While you and I can't really experience that, or or or see, that today, but there's a tremendous opportunity for the ability to manage fleets, whether they be, delivery robots or whether they be, autonomous vehicles driving around the road. You know, the network has to be capable of supporting connectivity for safety as well as, fleet management reasons of all of those devices. There have been incidents where, you know, a concept turns out in a city, the network usage goes up, and then all the autonomous vehicles in that city grind to a halt because the network outage. You know? So we we've got a a tremendous, I think, opportunity ahead of us. And you said earlier, NVIDIA enable, as allowing others to develop. What we we you you absolutely hit it on the on the nail on the head, which is NVIDIA's a platform company. We actually don't even know some of the applications that we're we're we will see as others take advantage of the platforms that we're able to provide. And we're gonna see many, many of these types of applications that, will drive somebody to talk about the killer app that the use of the telecom networks.
Jordan Wilson [00:26:05]:
You know, you brought up something again that that has me thinking here. Right? So, maybe I'm thinking a lot of this current technology that we're seeing today maybe can't perform at the level we might want it to. Right? Because of, you know, there's just too much compute needed. And right now, a 5 g network maybe can't handle it. Right? So, I was lucky enough to, you know, be at GTC this year, NVIDIA's conference and, you know, I got to saw, you know, your your CEO, Jensen Huang, kind of, you know, come out on stage with all these robots and, you know, they talked about Groot, the new, foundation model, and Isaac Robotics. So even when we talk about that end, right, because there's a lot of news that even just came out today, we'll have in our newsletter, just about, you know, expectations of, you know, robotics and and humanoid, robots and in factories and even in normal, like, quote, unquote, office spaces. Right? What what kind of hurdles, are are still needed, to to start realizing some of these things, you know, because I'm guessing, you know, when you have an Internet connected large language model, on a humanoid robot, you know, computer vision, I'm guessing there's a lot of things on the network side that still have to happen in order for some of these, kind of, realizations to to actually happen. So how do you see that playing out, in the coming years?
Ronnie Vasishta [00:27:28]:
Yeah. So there'll there'll be there's connectivity constraints that will, limit maybe mobility in a wide area network. There'll be some, as I mentioned earlier, some visual in engagement constraints visual, constraints over a network that like jitter and like latency that will mean that, you know, the the experience might not be as as realistic as you want continuously. The generation of video, through large language models, for instance, as you're generating video over a network, for instance. So there'll be as I said before, there'll be kind of a ramp up. We are seeing advances in the network. We're starting to also see some telecom operators investing in infrastructure, that is closer to the point of use and connecting that infrastructure to the, traditional 5 g network. So but I think in terms of mobility, in terms of experience, some of those will be constrained in terms of a wide area network and, by by the telecommunications network.
Jordan Wilson [00:28:45]:
And, a a great question here from Jason. You kind of mentioned this, earlier, but I wanna dive in a little bit deeper. So, Jason here asking, will we start to see more value in 5g, or do we have to wait for 6 g? So, Ronnie, you kind of mentioned this, like, 5g, advanced, I think you said is is is what it's called. So kind of what are these, you know, over the next 4 to 6 years until we might see a 6 g? What are some of these 5 g, improvements that we might see? Specifically, how are they going to, change the way that we can do business, you know, here, versus, you know, I know we kinda talked about more of the personal side, but, you know, what 5g advancements might change how we can do business in the coming years until 6g?
Ronnie Vasishta [00:29:31]:
Yeah. So, the good news is we don't have to wait to 6g, as I said. There are advances in the network capabilities and 5 g monetization opportunities within an enterprise. Whether it be in a, a port or a transportation hub and airport. The advances in terms of how you can put compute closer to the point of use. And we're doing, NVIDIA, that's a big focus for us, is to, enable the convergence of con of connectivity and compute in a server, meaning that one server can handle both the connectivity compute and, AI compute and can orchestrate and provision 1 as, for people go home at night. Why have the radio access network underutilized at that point, because it's a separate network. If you combine the compute, you can use those spare cycles at that time for, things like, AI training or inference, or you can do, you know, some AI applications on that to compute when it's available.
Ronnie Vasishta [00:30:47]:
That's all capable. That's all starting to happen in 5g. We're starting to see, you know, cameras, for instance, at airports. When a plane comes in to the jetway, you know, certain functions like, people need to come off and on, and you start to have certain, service vehicles coming in and out. That can all be man managed actually through cameras and autonomously. And, that improves productivity. So there's start things that are starting to happen like that in a the 5 g network. So you don't have to wait to 6 g, but, of course, as I said before, 6 g gives us new opportunities and new capabilities both on how the infrastructure is built for communication networks with AI and then also the services.
Jordan Wilson [00:31:36]:
So, Ronnie, we've talked about a lot in today's episode. We've, you know, even talked about autonomous vehicles. We talked about edge AI and some of the obstacles until that's fully realized. And we've even touched on the future of communications that, or future communications that 6 g may bring that we don't even have or even understand right now. But, you know, as we wrap up today's show, what's maybe the one most important thing that you want business leaders to understand when we talk about the future of communication and how AI impacts that?
Ronnie Vasishta [00:32:10]:
Yeah. So I would say for the business audience, those involved in telecommunications, I would say that the future is extremely bright. AI can transform, again, to use overused term, but really change the business models around telecommunications. And that's what, yeah, I'm I'm really focused on. It's incredibly exciting because those of you who are involved in the the communications network, whether it be an operator or whether it be the users of, telecommunications network, you're gonna have, a a highly productive, highly orchestrated network by the use of AI. I think that's kind of the key for those who you're are not involved in the telecommunications industry, for those of you who are users of the telecommunications industry, you're gonna have advantage of and experiences and applications and services that we've been talking about in this, podcast. And that is an incredibly exciting future because productivity changes, connectivity all the time, where you need it, when you need it, the services you need to be provided to your to your workforce, to your retail outlets. All of these experiences change dramatically.
Jordan Wilson [00:33:30]:
It's, you just got me excited. Right? Talking about productivity and connectivity, I think those are things that we all, you you know, want more of. Right? We wanna be connected more to people, to business opportunities, and just to use AI to be more productive. So, Ronnie, today's conversation was extremely valuable. So I wanted to thank you so much for taking your time out to come on the Everyday AI Show. We appreciate your time.
Ronnie Vasishta [00:33:54]:
Thank you very much for the opportunity. Really appreciate it.
Jordan Wilson [00:33:57]:
And, hey, as a reminder, everyone, that was a lot to take in. So maybe you were out driving or walking your dog and you couldn't jot down everything that's important. That's okay. We're gonna be recapping it all as well as sharing a lot more resources in today's newsletter. So make sure if you haven't already, go to your everydayai.com. Sign up for that free daily newsletter, and we'll see you back tomorrow and every day for more everyday AI. Thanks, y'all.