In this interview from Microsoft Ignite, Isaac Piñon, global marketing director for client solutions at Dell Technologies, joins theCUBE’s Rob Strechay to discuss redefining hybrid AI for the modern workplace. Piñon details Dell's strategic view of the AI ecosystem as a hybrid model, combining the scalable power of the cloud with the security and low latency of on-device processing. The conversation centers on the role of Dell Copilot Plus PCs and the necessity of NPU-enabled machines to handle the demands of next-generation applications. Piñon explains how on-device AI offloads complex tasks – such as live translation, anomaly detection and content creation – from the CPU and GPU, resulting in faster response times and battery life extending beyond 24 hours.
The discussion also explores the critical importance of data sovereignty and security in the AI era, particularly for regulated industries like finance and healthcare. Piñon highlights how processing sensitive data locally on the NPU reduces exposure to cloud-based risks while maintaining compliance. Beyond hardware, Piñon outlines how Dell is simplifying the path from pilot to production for developers through the Dell Enterprise Hub. By offering pre-validated models and seamless integration with Microsoft Intune, Dell is helping organizations reduce application development time by 75%, enabling IT teams to securely deploy and manage custom AI agents across their fleets.
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Isaac Pinon, Dell Technologies
In this interview from Microsoft Ignite, Isaac Piñon, global marketing director for client solutions at Dell Technologies, joins theCUBE’s Rob Strechay to discuss redefining hybrid AI for the modern workplace. Piñon details Dell's strategic view of the AI ecosystem as a hybrid model, combining the scalable power of the cloud with the security and low latency of on-device processing. The conversation centers on the role of Dell Copilot Plus PCs and the necessity of NPU-enabled machines to handle the demands of next-generation applications. Piñon explains how on-device AI offloads complex tasks – such as live translation, anomaly detection and content creation – from the CPU and GPU, resulting in faster response times and battery life extending beyond 24 hours.
The discussion also explores the critical importance of data sovereignty and security in the AI era, particularly for regulated industries like finance and healthcare. Piñon highlights how processing sensitive data locally on the NPU reduces exposure to cloud-based risks while maintaining compliance. Beyond hardware, Piñon outlines how Dell is simplifying the path from pilot to production for developers through the Dell Enterprise Hub. By offering pre-validated models and seamless integration with Microsoft Intune, Dell is helping organizations reduce application development time by 75%, enabling IT teams to securely deploy and manage custom AI agents across their fleets.
play_circle_outlineRedefining Hybrid AI in the Modern Workplace: Dell Technologies and Copilot Plus PCs Enhance Business Processes Across Cloud, On-Prem, and Edge
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play_circle_outlineThe role of Copilot Plus PCs is crucial for future-proofing AI investments in organizations.
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play_circle_outlineCopilot Voice and Copilot Vision improve user interaction and experience with AI capabilities.
In this interview from Microsoft Ignite, Isaac Piñon, global marketing director for client solutions at Dell Technologies, joins theCUBE’s Rob Strechay to discuss redefining hybrid AI for the modern workplace. Piñon details Dell's strategic view of the AI ecosystem as a hybrid model, combining the scalable power of the cloud with the security and low latency of on-device processing. The conversation centers on the role of Dell Copilot Plus PCs and the necessity of NPU-enabled machines to handle the demands of next-generation applications. Piñon explains how o...Read more
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What is the definition of hybrid AI and how do on-device AI and Dell Copilot PCs fit into this framework?add
What are the benefits of Dell Copilot Plus PCs for AI applications and knowledge workers?add
What are some practical use cases for Dell Copilot Plus PCs in a hybrid AI environment?add
>> Hello and welcome to another episode of our coverage of Microsoft's Ignite Conference. I'm Rob Strechay, and we're going to be talking about redefining hybrid AI for the modern workplace. So important these days. Today I'm excited to be joined by Isaac Pinone, who's the global marketing Director for Client Solutions for Dell Technologies. Welcome on board, Isaac.
Isaac Piñon
>> Hey Rob, thanks for having me. It's great to be here.
Rob Strechay
>> I think this is so important, and I think let's dive into this and start with the role of Copilot Plus PCs in hybrid AI. So important to understand as people are really trying to build out their AI infrastructure and AI enabled applications. How are you defining hybrid AI, and how do on-device AI and Dell Copilot PCs fit into this framework?
Isaac Piñon
>> Yeah, I mean AI, it is transforming businesses at an unprecedented pace, right? It's an exciting time to be in technology. And organizations that thrive in the AI era are going to be those who can harness its potential quickly and to its fullest extent. So, Dell views the AI world's hybrid, a combination of cloud, on-prem, and edge, all the way down to the PC. And hybrid AI combines the strengths of cloud-based AI application for large scale processing, and on-device is really for real time secure and efficient operations. So the modern workplace is going to shift mostly into hybrid. Some of those workloads will continue to live on the cloud, and we're seeing a lot of software vendors that are going to shift some of those AI workloads into the device. The next generation of applications are all being written for the NPU-enabled machines. There are some ISVs and partners that we work with today that are already using them today. And so you're seeing cool things like anomaly detection run in the background. You're seeing some content creation and gaining some efficiency in some of those applications out there. And Dell Copilot Plus PCs are the perfect choice for future proofing your AI PC investments. And it becomes the new standard for every day, on-device AI applications. The average knowledge worker is going to be using more than two applications with AI features. And with that workload you really need at least 40 plus tops. And so 40 plus tops is going to allow the machine to be able to juggle all of these applications at once. That's going to be the real world. So you're going to, a day in the life of what we're seeing in the future is that you're going to start your day, you're on a call like we are going to run background blur that's going to run the NPU. You're going to do live translations that's going to run on the NPU. You're going to quickly jump off of that, go into content creation, run on the NPU. All the while anomaly detection is running in the background, and you get a really great experience because the NPU is jumping in and doing that heavy lifting and helping your CPU and your GPU do what they're desired to do.
So on-device AI, it reduces the latency. So it's superfast. There's no round trip to the cloud and back. So that's a really great response, if you're responsive on your machine, it's going to be enhanced. And then it ensures that your data and your privacy is secured by processing tasks locally. So again, no round trips to the cloud and back, so less chance of your information being exposed.
Rob Strechay
>> Yeah. Let's stick with that, because I think data sensitivity is really a key, and people understanding AI runs on data and making sure it's secure and things like that. But from your guys' perspective, why is on-device AI so critical for industries with sensitive data?
Isaac Piñon
>> Yeah. Security is paramount everywhere. Any conversations we have with customers, they're always talking about security, and if you happen to see some exposures out there in the market, it can be very damaging. There's a lot, it's very costly to deal with a security breach. And so, when you have on-device AI and an MPU, it's going to keep your sensitive information like healthcare records or financial data local to the device, and it really reduces the exposure to cloud-based risks. So the application, or the approach, really supports compliance with data governance regulations while enabling advanced AI applications.
Rob Strechay
>> Yeah. I would assume that's critical in industries like financial services and healthcare as well, especially where those records and PII has to be really held within. So that makes a lot of sense to me. So let's kind of jump in now and ground the discussion, but let's begin and understand, what are some of the real-world applications of Dell Copilot Plus PCs? So what are some of the practical use cases for Dell Copilot Plus PCs in a hybrid AI environment?
Isaac Piñon
>> So I'll start with most of these Windows 11 PCs come with Copilot on it already. And so that runs on the cloud. And so we recently announced a couple of new features, or Microsoft recently announced a couple of new features. So you've got Copilot Voice, which makes interacting with your AI PC as easy as speaking to it. So you can say, "Hey, Copilot," you know, wake words, you can ask it questions, et cetera. And then there's also Copilot Vision, which offers guidance based on what you see on your screen. And there's some really cool campaigns out there where they really bring that to life. So that's available across all Windows 11 PCs. So that's a really great example of the cloud. And so Copilot Plus PCs, they bring out unique on-device AI experiences. These are only available on the Copilot Plus PC and they run locally on the device. So now we're talking hybrid. You've got Copilot if you want to go to the cloud. And then you've got these Copilot Plus experiences that help you work on productivity. So features like Recall and Click To Do, which streamline your workflow, reduce the time spent on repetitive tasks, all running on on-device, simultaneously, working with Copilot Chat, which is a text-based chat within Microsoft AI offerings that live on the cloud. So that's available on the Copilot offering on the OS. Then you got creativity, you could do on-device AI with Co-creator, which enables both online and offline photo and video editing, background removal and image generation. I don't know how many times I'm putting a deck together and I'm like, "If I could just quickly remove the background and make this look better." So that's all going to be faster. All the while from a security standpoint, you get faster threat detection and response with local ACT processing for advanced memory scanning as well. So those are really good examples of hybrid working in concert with co-pilot and Copilot Plus PCs.
Rob Strechay
>> Yeah. So let's bring it back kind of the end user experience here. So how do these PCs enhance the user experience with resource-intensive AI tasks? Because that's what people want to understand, to put it mildly.
Isaac Piñon
>> So I would say features like AI-enhanced video conferencing. So reducing the system lag and improving call quality. You get amazing energy efficiency when you're running these AI capabilities. You get extended battery life and optimized performance for multitasking. So overall, like I talked about low latency. That means things run faster because there's no round trips to the cloud and back. It's more energy efficient because of the MPU, get amazing battery life. We're seeing up to 24-plus hours in battery life, which is huge. And it's an overall better experience because in an AI PC, the MPU undertakes the heavy lifting of the AI computation and that leaves the CPU and GPU free to focus on the tasks that they were designed to handle. And when that's done, you get a really great experience. And if we think about it, if you were to run AI workloads on a traditional PC, the CPU and GPU, they could run these workloads, but they would be extremely taxed. And so they're going to deliver less than optimal performance. So think back to running a modern application on your old PC. You're going to see lagging and potential crashes. Crashes, right. And so running AI workloads on an old PC can similarly burden your device, and that's just a bad experience for everyone. Examples of ISBs that are already building applications for the MPU, we think of that more as like the bypass, right. So we think that there are two strategies for bringing AI into your environment, onto your PCs. And then we talked about, so there's the bypass, you've got ISV applications and they're going to update their software with the AI features that are going to run locally, that you're buying that in, you're going to integrate that in.
Where it gets really gets really exciting is when you can build using your own data, using your own information to supercharge the workers in your organization. And so you do that with your own data. And so, through the open ecosystem, we have pre-validated AI models that live in the Dell Enterprise Hub and GitHub. And so, these are pre-validated. So you know that they're going to run in PU, right? There's models everywhere and there's all kinds of models. There's a deluge of models in, but you don't know how to basically take those models and run them on a PC. And we've done the heavy lifting. We're trying to take out all of that complexity, because we know that our customers are really trying to figure this out. We want to make it as simple as possible we can for them. And so they can go to the Dell Enterprise Hub, they can pick up different models. How they want to supercharge that and different experiences, in their applications or build something new, have some fun with it, create a different application. And once they've developed it through the Dell management portal and Microsoft Intune, in conjunction with Microsoft Intune, they can now manage that application. So it's tested, it's validated, it's secure, and then you can scale that to your fleet of AI PCs regardless of the underlying silicon. And we're saving development of application by 75%, which is huge, right? And so you don't have to rebuild the application because now you're running a different silicon here or you're running into challenges. And then keeping that application up to date is super simple as well, because it's already in your IT environment. And so if you've got updates to it, we make it super simple to make sure that it stays up to date. So, if you don't have a developer or IT resources, we have Dell Professional Services that can consult and help with planning implementation. Really it's all about ensuring that IT teams can control those deployments, monitor performance through a centralized management console. And that's what we provide as part of that.
Rob Strechay
>> Isaac, I couldn't agree more. I think again, a lot of this is being built on the PCs. A lot of AI people are redoing their applications to make them AI and agentic going forward. As people are trying to figure this out, what should they do? Where should they go besides the floor here at Ignite to learn more?
Isaac Piñon
>> Great question, Rob. Yeah. If customers want to explore more about Dell AI PCs, go to dell.com/AI PCs and they could see our entire breadth of our AI PC portfolio from our standard AI PCs, Copilot Plus and AI workstations. We've got it all.
Rob Strechay
>> I know you do. Thank you for coming on board, Isaac, I really appreciate. This is such an important topic.
Isaac Piñon
>> Thanks for having me, Rob. I appreciate it.
Rob Strechay
>> And thank you for watching theCUBE, the leader in tech analysis and news. Stay tuned.
Rob Strechay