AI is writing code faster than most teams can review it. That’s the tension.

Recorded live at NVIDIA GTC with Nate McKie, we get into what happens when developer speed takes off but security and quality don’t.

The middle of the development process is collapsing. Code is cheap. Mistakes aren’t.

So what actually has to change?

We get into AI-native engineering, agentic development and the shift from code generation to code governance. From code review bottlenecks and the “hourglass effect” to model selection, RBAC and secure data access, this is how enterprise teams scale AI without breaking things.

Support for this episode provided by: Thales

More about this week's guest:

Nate McKie is a Senior Executive AI Advisor with more than 25 years of experience in software and automation engineering. He helps organizations translate AI into real business outcomes, advising on strategy across data, infrastructure and applications to drive effective and responsible adoption.

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. 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.