Step into the future of enterprise AI! ⚡
From Dell Technologies World 2025, host Diana Blass explores the pivotal shift to AI readiness within organizations.
Join us for a powerhouse panel, including Dell Technologies‘ Product Marketing Manager of AI Solutions, Justin Jones, Sr. Principal Engineer, Spencer Bull, and Advisor, AI & Multi-cloud Product Marketing, Mitch Mcleod, along with Metrum AI’s CEO, Steen Graham, Oregon State University’s Head of College of Earth, Ocean, and Atmospheric Sciences, Christopher M. Sullivan, and OmniBridge’s Product Marketing & Business Development Manager, Michael Catrone. Together, they unpack how businesses are moving beyond AI theory to practical, real-world deployment.
Key Takeaways from the Conversation:
🔹From AI Theory to Autonomous Action: Explore how AI is transitioning from conceptual models to tangible tools, empowering businesses with enhanced autonomy and real-time decision-making capabilities.
🔹Powering Privacy and Connectivity with Edge AI: Understand the growing significance of on-device AI and edge computing in addressing vital privacy concerns and connectivity limitations, showcased through compelling real-world use cases like real-time ASL translation.
🔹Conquering Data Obstacles for AI Adoption: Discover the pervasive challenges of outdated infrastructure and fragmented data hindering AI implementation, and learn how leading enterprises are strategically overcoming these significant data management hurdles.
🔹Integrated Solutions for Seamless AI Deployment: Gain insight into the transformative role of integrated solutions, such as Dell’s AI Factory with NVIDIA, in streamlining the entire AI deployment lifecycle—from initial model training to robust, full-scale enterprise-wide implementation.
Learn more at Dell Technologies.
Watch the full video below at Six Five Media, and be sure to subscribe to our YouTube channel, so you never miss an episode.
Or listen to the audio here:
Disclaimer: Six Five Connected is for information and entertainment purposes only. Over the course of this webcast, we may talk about companies that are publicly traded, and we may even reference that fact and their equity share price, but please do not take anything that we say as a recommendation about what you should do with your investment dollars. We are not investment advisors, and we ask that you do not treat us as such.
Transcript:
Diana Blass: We came to Dell Tech World here in Las Vegas to learn more about the next era of AI, the era of enterprise adoption. At the Playmaker AI booth we got a glimpse of what that looks like. I didn’t just get coached by AI, I got roasted.
Justin Jones: Who doesn’t love that?
Diana Blass: Who doesn’t love that?
Justin Jones: We grab all these frames, we break it down into dense captioning, summarize it quickly, and then use some pretty hefty prompt engineering to rate you on things like footwork and accuracy and velocity.
Diana Blass: And if you think this tech is just for sports, think again.
Justin Jones: One of my favorites is healthcare. Because if you think about the probably thousands, millions of hours of surgery that have been recorded around the world and the specific ways you need to maybe suture something shut, understanding how the best surgeons in the world do that is now accessible to anybody.
Diana Blass: This is where AI gets real. Taking elite human skill and copy coding it into software and deploying it anywhere it’s needed, from the operating room to the production floor. But how exactly do you make that a reality? AI is evolving fast from generative models that create content to inference engines delivering real time insights, and now to AI agents. These agents or advanced software programs are built to automate routine operations in the business. At Dell Tech World we saw the way they’re integrated onto an AI PC.
Spencer Bull: Our PCs, we never want them to have issues, but if they do, we want to add an extra layer of protection where we can have an agentic workflow run on the PCs.
Diana Blass: Watch how a group of agents work together to address software issues on the device.
Spencer Bull: With the detector agent it will identify. Hey, at this top level issue I have a detection. In this case we see that there’s a T0599 thermal heat issue that was identified based on all the telemetry that we further investigated into. And then we will build out our recommendation agent which will define a plan on different recommendations that we should do to help remediate the problem.
Diana Blass: And the next phase of innovation when digital agents combine with physical AI robotic systems that can take action in the real world. Something like this.
Steen Graham: So what we’re doing here is we’re using an autonomous AI agent that’s actually running without GPUs and that AI agent is monitoring this server rack right here. So I’m just going to come over here and I’m going to tamper with this rack a little bit and you’re going to see this data center AI agent is going to get a signal via IDRAC that there’s an issue detected on the server that it’s open and it’s going to tell the humanoid robot to go inspect the server and figure out, hey, what’s the problem that we, that we just occurred.
Robot: Conducting a visual inspection and running diagnostics.
Steen Graham: All right, so he’s sending back the visual inspection it just conducted to the AI agent. So a humanoid robot working on behalf of the AI agent right here, right now.
Diana Blass: But building that kind of system isn’t easy. Enterprises face old infrastructure, siloed data, privacy concerns and cybersecurity risks. At Dell Tech World, we learned about the latest solutions that address those issues. Let’s start with the biggest of them all. Data is the enterprise’s most valuable asset and one of its hardest to manage.
Christopher Sullivan: AI is a data problem. It really is. The most important piece of technology for AI was the cheap hard drive. Before that we had data in filing cabinets.
Diana Blass: Filing cabinets weren’t going to get the job done. For Christopher Sullivan, the director of research and academic computing at Oregon State University’s College of Earth, Ocean and Atmospheric Sciences, Sullivan needs to carry out real time analysis for his research on plankton. These are tiny organisms that drift in oceans, seas and freshwater. They’re the foundation of the aquatic food chain and play a major role in Earth’s oxygen and carbon cycles. Changes in plankton populations can reveal shifts in ocean water, which is why you’ll often find solvent out on the water aboard a 150 million dollar research vessel collecting nearly 100 terabytes of data every couple of days. And that’s just from one experiment. Typically 12 to 15 are happening at the same time.
Christopher Sullivan: Plankton’s microscopic, so it’s not easy to see. And so we actually have to move the boat around potentially where the plankton are. So if I’m not able to do the work at the edge of the ship, I might come back with bad data. And that’s no good because then I’ve stored a whole bunch of data that’s meaningless.
Diana Blass: So clearly flash storage was a game changer for AI. But it’s really just a piece of the data puzzle because before you can store it, you’ve got to ask.
Mitch McLeod: What data do you have? Is it cleansed, is it labeled? And can you get to all of it before we start feeding it to the models?
Diana Blass: That’s where the Dell AI factory with Nvidia comes in. A set of integrated solutions that include hardware, software and services, all built for the full AI life cycle, from training to deployment. It’s fully customizable, designed to help enterprises start quickly and scale. Oregon State is one of more than 3,000 customers who’ve tapped into the AI factory since it launched last year. And this year, Dell expanded the factory with new solutions like the Dell AI data platform, built to tackle the exact data bottlenecks we’ve been talking about.
Mitch McLeod: The deli data platform is really how we’ve combined our expertise on data and our data storage into a more approachable offering for customers so that they can get their data house in order. Right, because we don’t have the data in order we’re doing, we’re going to get bad results.
Diana Blass: Clearly, Dell’s aiming to be a one stop shop for enterprise AI and the numbers back it up. In its latest earnings call, Dell projected its AI server business will hit at least $15 billion this year. Those servers are going to next gen data centers, some wired with up to 27,000 miles of cabling. At that scale, I bet you’ll see a lot more robots moving around. Now. Imagine the cost and time it takes to build all that. Dell says the AI factory can cut setup time by up to 86% compared to traditional methods. And running AI workloads on prem that could be up to 62% cheaper than using the public cloud and often more secure. And what about legacy systems? The factory helps to modernize existing infrastructure, swapping out outdated servers, adopting liquid cooling, breaking down data silos, and integrating with what’s already in place. It’s all about making the leap from legacy to AI ready smoother. And we got to see what’s possible when that leap actually happens. Come with us onto the show floor.
Mitch McLeod: So this is a delay factory with Nvidia half rack here. So it’s live running on the show floor. We have it in a specialized case and it’s powering agentic AI demos to digital assistants and a code generation demo. So it is a good example of how an organization can get started with that smaller form factor.
Diana Blass: But in some cases, enterprises want AI to run directly on the device for privacy, speed or situations where there’s no Internet. That’s where the AI PC comes in. It’s been a game changer for Michael Coutrone, who’s deaf and relies on device AI for real time communication. He works at Omnibridge, the company behind ASL translation software that bridges the gap between spoken and sign language. In this demo we saw how the software runs locally on a Dell AI PC using Andy’s Dell’s digital assistant as the interface. Andy’s powered by large language models allowing her to understand natural language and respond in real time. The webcam captures sign language, translates it into English text, and Andy delivers a response, making the conversation two way, even without Internet.
Michael Catrone: The great thing is I can sign in my native language. I don’t have to write back and forth. You get to speak in English, you don’t have to write back and forth. And then passing my phone back between us, you know, it can be awkward.
Diana Blass: So what a day we had here at Dell Tech World. We got to see innovations that helped the disabled, that spotted plankton in the waters. Some innovations help us to become better baseball players. Think about what’s possible in the enterprise as agents enter the manufacturing sites. This is all to come, but a lot of big questions that still need to be answered. Well, stay tuned with me right here as I dive into those questions here in Connected. Till next time, I’m Diana Blass.
Author Information
Diana Blass is a journalist with a background in technology news and analysis. Her work has appeared on Fox Television Stations, The Discovery Channel, CRN, Light Reading, and other Informa-owned media brands. In addition to her work at The Six Five, she manages Diana Blass Productions, where she develops and produces digital documentaries, podcasts, and commercials for media and corporate brands.
