AI Proving Ground Podcast: Exploring Artificial Intelligence & Enterprise AI with World Wide Technology

AI is working. Your data probably isn’t.
As enterprise AI moves into production, a new constraint shows up fast. Not models. Not compute. Data.
In this episode, recorded live at NVIDIA GTC, NetApp’s Tore Sundelin and WWT’s Derek Elbert get into what’s actually slowing teams down. The shift from clean, structured data to messy, high-value, unstructured data that’s harder to find, govern and use in real time.
This is where things start to break. Data spread across systems. Inconsistent policies. No clear way to trust what’s being used.
And once AI depends on live enterprise data, those gaps don’t stay hidden for long.
Because at this stage, AI doesn’t fail at the model. It fails at the data.
Support for this episode provided by: Riverbed
More about this week's guests:
Derek Elbert is an AI Practice leader at World Wide Technology focused on hybrid cloud AI and high-performance architecture. He specializes in networking and storage within modern AI stacks, helping organizations design and scale infrastructure to support data-intensive, production-grade AI workloads.
Tore Sundelin is a product leader at NetApp focused on enterprise AI and data platforms. With 20+ years at Microsoft, Google and NetApp, he has built AI-powered products at global scale, including early machine learning capabilities in Microsoft Office. He specializes in turning complex data, governance and platform challenges into production-ready AI solutions.
The AI Proving Ground Podcast leverages the deep AI technical and business expertise from within World Wide Technology's one-of-a-kind AI Proving Ground, which provides unrivaled access to the world's leading AI technologies. This unique lab environment accelerates your ability to learn about, test, train and implement AI solutions. 
Learn more about WWT's AI Proving Ground.
The AI Proving Ground is a composable lab environment that features the latest high-performance infrastructure and reference architectures from the world's leading AI companies, such as NVIDIA, Cisco, Dell, F5, AMD, Intel and others.
Developed within our Advanced Technology Center (ATC), this one-of-a-kind lab environment empowers IT teams to evaluate and test AI infrastructure, software and solutions for efficacy, scalability and flexibility — all under one roof. The AI Proving Ground provides visibility into data flows across the entire development pipeline, enabling more informed decision-making while safeguarding production environments.

AI isn’t slowing down. Your data center is.
As enterprise AI moves into real workloads, physical limits show up fast. Power. Cooling. Space. Timing. The conversation shifts quickly from what model to use to whether you can run it at all.
In this episode, Schneider Electric CTO Jim Simonelli and WWT’s Chris Campbell talk through what happens when AI infrastructure, data center design and workload placement collide in production.
Because “speed to first token” isn’t just about model performance. It’s about whether your environment can keep up.
More about this week's guests:
Chris Campbell is responsible for the strategy, development, and delivery of WWT's AIaaS/GPUaaS and Facilities & Infrastructure solutions, and their associated GTM to our clients. Campbell has also served as Sr. Director - Executive Engagement and Customer Advocacy at WWT, and was responsible for the strategy, development, and delivery of WWT's global customer executive engagement programs, and has also served as a Sr. Director of Engineering and Architecture - Mid America at WWT, where he was responsible for managing WWT's team of consulting systems engineers and architects in Mid America.
Jim Simonelli is a Schneider Electric leader focused on the infrastructure realities shaping enterprise AI. He brings a practical view of what it takes to make AI deployable at scale: reliable power, liquid cooling, flexible data center design, and the operational certainty leaders need before turning on compute. He speaks from both sides of the equation, as someone helping Schneider use AI while also helping enterprises build the environments required to support it. His perspective is relevant as organizations weigh cloud, hybrid and on-prem choices and try to move faster without locking into the wrong infrastructure decisions.
The AI Proving Ground Podcast leverages the deep AI technical and business expertise from within World Wide Technology's one-of-a-kind AI Proving Ground, which provides unrivaled access to the world's leading AI technologies. This unique lab environment accelerates your ability to learn about, test, train and implement AI solutions. 
Learn more about WWT's AI Proving Ground.
The AI Proving Ground is a composable lab environment that features the latest high-performance infrastructure and reference architectures from the world's leading AI companies, such as NVIDIA, Cisco, Dell, F5, AMD, Intel and others.
Developed within our Advanced Technology Center (ATC), this one-of-a-kind lab environment empowers IT teams to evaluate and test AI infrastructure, software and solutions for efficacy, scalability and flexibility — all under one roof. The AI Proving Ground provides visibility into data flows across the entire development pipeline, enabling more informed decision-making while safeguarding production environments.

AI is working. Until it isn’t.
Not because the model failed, but because something behind it did.
In this episode, recorded live at NVIDIA GTC, WWT’s Mike Trojecki and Everpure’s Kaycee Lai talk through what starts to show up once AI moves into real use. Data that’s harder to access than expected. Systems that slow things down. Security and governance questions that weren’t part of the original plan.
It’s a different kind of conversation than most. Less about what AI can do, more about what it takes to actually run it inside a business.
There’s a shift happening underneath it all. AI is starting to behave like a core application, which means it inherits the same expectations around reliability, performance and control.
And that’s usually where things get complicated.
More about this week's guests:
Mike Trojecki brings 25+ years of experience across security, cloud, and AI, starting with his service in the U.S. Air Force supporting White House and Air Force One missions. He’s led emerging tech practices at top integrators and now leads the AI Practice at World Wide Technology, driving high-performance AI infrastructure and data strategies.
Kaycee Lai is a data and AI leader with 20+ years of experience driving innovation and enterprise transformation. At Pure Storage, he leads Enterprise AI and Analytics strategy. As founder and former CEO of Promethium, he pioneered Data Fabric, helping organizations unlock more accessible, usable data.
The AI Proving Ground Podcast leverages the deep AI technical and business expertise from within World Wide Technology's one-of-a-kind AI Proving Ground, which provides unrivaled access to the world's leading AI technologies. This unique lab environment accelerates your ability to learn about, test, train and implement AI solutions. 
Learn more about WWT's AI Proving Ground.
The AI Proving Ground is a composable lab environment that features the latest high-performance infrastructure and reference architectures from the world's leading AI companies, such as NVIDIA, Cisco, Dell, F5, AMD, Intel and others.
Developed within our Advanced Technology Center (ATC), this one-of-a-kind lab environment empowers IT teams to evaluate and test AI infrastructure, software and solutions for efficacy, scalability and flexibility — all under one roof. The AI Proving Ground provides visibility into data flows across the entire development pipeline, enabling more informed decision-making while safeguarding production environments.

Agentic AI is getting real fast. The challenge isn’t building it anymore. It’s running it without losing control.
Recorded live at NVIDIA GTC, this conversation gets into what actually changes when AI moves into production. Not in theory, but in practice.
As organizations start designing for real usage, new pressure shows up. Systems get more complex. Costs become harder to predict. And security can’t be something you fix later.
Cisco’s Kevin Wollenweber, NVIDIA’s Kevin Deierling and WWT’s Neil Anderson talk through what they’re seeing right now and how teams are adjusting in real time.
If you’re thinking about how to scale AI without losing control of your environment, your costs or your risk, this is worth your time.
More about this week's guests:
Kevin Wollenweber is Cisco's Senior Vice President and General Manager of Data Center and Internet Infrastructure. In this role, he leads product strategy to enhance Cisco's infrastructure solutions for the data center, high-performance routing, and mobile networks. His leadership is pivotal in driving growth and developing cutting-edge solutions to meet the dynamic needs of businesses worldwide.
Kevin Deierling is the senior vice president of Networking at NVIDIA, joining from Mellanox Technologies where he was senior vice president of Marketing. He has been a founder or senior executive at five startups that have achieved positive outcomes. Combining both technical and business expertise, Deierling has variously served as the chief officer of technology, architecture, and marketing at these companies, where he led the development of strategy and products across a broad range of disciplines including networking, security, cloud, big data, virtualization, storage, smart energy, and DNA sequencing.
Neil Anderson has over 30 years of experience in AI, Software Development, Wireless, Cyber, and Networking technologies. At WWT Neil is VP and CTO in our Global Solutions and Architectures team, with responsibility for over $16B in WWT's solutions portfolio. Neil advises hundreds of Fortune 1000 companies on their global architecture and technology strategy.
The AI Proving Ground Podcast leverages the deep AI technical and business expertise from within World Wide Technology's one-of-a-kind AI Proving Ground, which provides unrivaled access to the world's leading AI technologies. This unique lab environment accelerates your ability to learn about, test, train and implement AI solutions. 
Learn more about WWT's AI Proving Ground.
The AI Proving Ground is a composable lab environment that features the latest high-performance infrastructure and reference architectures from the world's leading AI companies, such as NVIDIA, Cisco, Dell, F5, AMD, Intel and others.
Developed within our Advanced Technology Center (ATC), this one-of-a-kind lab environment empowers IT teams to evaluate and test AI infrastructure, software and solutions for efficacy, scalability and flexibility — all under one roof. The AI Proving Ground provides visibility into data flows across the entire development pipeline, enabling more informed decision-making while safeguarding production environments.

Most enterprise AI tries to be impressive. In a hotel, it just needs to work.
No one checks in hoping to experience great AI. They want things to feel smooth, fast, intuitive — like everything is just handled. That’s the standard.
At IHG Hotels & Resorts, AI is being applied with that mindset. Not as a headline, but as a way to make employees more effective and operations run cleaner behind the scenes.
In this episode, IHG Chief Product and Technology Officer Jolie Fleming shares what it actually looks like to scale AI inside a global hospitality business. Not pilots that linger. Not demos that look good in slides. Real changes to how work gets done — across call centers, service workflows, language translation and day-to-day operations.
The approach is simple, but disciplined: start with a real problem, fix it, prove it works and then expand. It’s less about chasing the latest model and more about building something that holds up under pressure.
And underneath it all, the fundamentals still matter. Data, workflows and governance don’t go away with AI — they become more important. Fast.
For leaders trying to move quickly without losing control, this episode offers a clear takeaway: the most effective AI doesn’t announce itself. It just makes everything work better.
Support for this episode provided by: Check Point
More about this week's guest:
Jolie Fleming was appointed Chief Product & Technology Officer in April 2024. In this role, Jolie is responsible for driving the development of all guest, enterprise and owner-facing products and technology, while working across our regions with marketing, brands, loyalty and operations. Jolie joined IHG in 2021 as Senior Vice President, Guest Products and Platforms (GPP) for IHG's Commercial and Technology team. In that role, she led the development and launch of technology solutions for the new IHG One Rewards programme and supporting mobile app, new hotel websites and the seamless integration of new partners including Iberostar.
The AI Proving Ground Podcast leverages the deep AI technical and business expertise from within World Wide Technology's one-of-a-kind AI Proving Ground, which provides unrivaled access to the world's leading AI technologies. This unique lab environment accelerates your ability to learn about, test, train and implement AI solutions. 
Learn more about WWT's AI Proving Ground.
The AI Proving Ground is a composable lab environment that features the latest high-performance infrastructure and reference architectures from the world's leading AI companies, such as NVIDIA, Cisco, Dell, F5, AMD, Intel and others.
Developed within our Advanced Technology Center (ATC), this one-of-a-kind lab environment empowers IT teams to evaluate and test AI infrastructure, software and solutions for efficacy, scalability and flexibility — all under one roof. The AI Proving Ground provides visibility into data flows across the entire development pipeline, enabling more informed decision-making while safeguarding production environments.