Agentic AI systems have the potential to work together, but not yet at scale. This episode breaks down two emerging standards — Model Context Protocol (MCP) and Agent-to-Agent (A2A) communication. Both promise modular AI integration, safer data flows, and agentic collaboration that actually scales. WWT engineer Sally Jankovic and AI advisor David Geddam explain why these protocols are becoming essential infrastructure for enterprise AI.

Support for this episode provided by: Glean

More about this week's guests:

Sally Jankovic earned her PhD in Applied Math from the University of Minnesota in 2023. Drawn to real-world problem-solving, she began her career as a data scientist at a healthcare startup, working on ML, NLP, and LLMs. Her hands-on experience led her to the platform team before joining WWT, where she was inspired by the MC group's collaborative culture and the chance to work across diverse tech stacks and projects.

Sally's top pick: Agent-2-Agent Protocol (A2A) - A Deep Dive

David Geddam is a Senior AI Advisor and Chief Solution Architect at World Wide Technology, with 25+ years of experience in AI, healthcare tech and enterprise solutions. He’s held key roles at Kaiser Permanente, GE Healthcare, Philips, IBM Watson Imaging and multiple startups. David holds degrees in Biomedical Engineering and Healthcare Technology and specializes in AI, cloud, NLP, computer vision and real-time navigation. On the hobbies front, he is involved in playing competitive tennis at USTA 4.0 level for teams in St. Louis.

David's top pick: Scaling Agentic AI: Impact of Model Context (MCP) and Agentic (A2A) protocols

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.

For many, AI success isn’t limited by how many GPUs you can buy; it’s limited by how fast those GPUs can talk to each other without tripping over the plumbing. In this episode of the AI Proving Ground Podcast, two of WWT’s top networking minds —Justin van Schaik and Eric Fairfield — lay out the real choke points slowing AI projects to a crawl and how powerful, modernized network architectures are quietly rewriting the rulebook for scaling AI.

Support for this episode is provided by: Nokia

Learn more about this week's guest:

Justin van Shaik is a Technical Solutions Architect at World Wide Technology, specializing in High Performance Networking, AI and Open Networking. A seasoned technologist, he helps organizations design and deploy advanced infrastructure to support next-gen workloads at scale.

Justin's top pick: The Future of High Performance Networking: Ultra Ethernet Explained

Eric Fairfield is a Technical Solutions Architect at World Wide Technology with a passion for solving data center networking challenges. He specializes in Cisco ACI, VMware NSX and their integration. Outside of tech, Eric has spent over 30 years immersed in motorsports, working with F1, IndyCar, IMSA and other major racing organizations.

Eric's top pick: WWT at ONUG AI Networking Summit—Dallas 2025

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.

Jack in the Box CTO Doug Cook and WWT Chief Digital Advisor Charlie Lawhorn detail how a multi-year modernization sprint paved the way for advancements in AI — and what every business can learn from the fast-food chain's journey. Doug and Charlie offer a candid conversation that delivers a playbook for prioritizing AI use cases, funding innovation in capital-constrained environments and rolling out AI with minimal disruption.

For more about this week's guests:

Doug Cook joined Jack in the Box as Senior Vice President and Chief Technology Officer in October of 2021. Cook brings more than 20 years of industry experience leading guest and employee-facing platforms to Jack in the Box. Cook most recently served as interim CTO of Jack in the Box, effectively leading the technology team and strategy during his interim period. Prior to joining Jack in the Box, Cook served as Chief Information Officer at Pizza Hut. Before Pizza Hut, Cook spent two decades with Sonic applying leading-edge technologies and analytics to grow the company's innovation and market position.

Doug's top pick: Jack in the Box Case Study

Charlie Lawhorn is an experienced transformation leader with a career dedicated to designing and executing complex programs that help organizations navigate digital change. He specializes in aligning process design with modern digital technologies to enhance enterprise relevance and performance in a data-driven marketplace. Charlie leads teams that prioritize business outcomes, working closely with stakeholders to identify opportunities, apply the right processes and technologies and deliver measurable business value.

Charlie's top pick: Modernizing the Point of Sale at Jack in the Box to Drive Efficiency, Insights and Growth

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.

At Cisco Live 2025, the networking giant rolled out a sweeping agenda to make AI not just powerful, but practical — and secure. In this episode, we caught up with leaders from Cisco, NVIDIA and WWT to talk about what this year's announcements actually mean for enterprise teams tasked with building scalable, secure, AI-ready infrastructure. From the rise of the Cisco Secure AI Factory with NVIDIA to the reality of agentic workflows and persistent inference traffic, this episode unpacks the architectural shifts reshaping the modern data center.

Learn more about this week's guests:

Kevin Wollenweber is Cisco's Senior Vice President and General Manager of Data Center, Internet, and Cloud 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's top pick: About Cisco and WWT

Chris Marriott is the VP/GM of Enterprise Platforms at NVIDIA, where he has spent 14 years advancing enterprise solutions. With a background in engineering, including 10 years in ASIC development, Chris combines technical expertise with strategic insight to address the evolving tech landscape.

Chris's top pick: About NVIDIA and WWT

Neil Anderson has over 30 years of experience in Software Development, Wireless, Security, Networking, Data Center, Cloud and AI technologies. At WWT Neil is an VP in our Global Solutions and Architecture team, with responsibility for over $16B in WWT's solutions portfolio across AI, Networking, Cloud, Data Center, and Automation. Neil advises many large organizations on their global architecture and IT strategy across Global Enterprise, Global Service Provider, and Public Sector. Neil is also on the advisory board of several high-tech companies and startups.

Neil's top pick: Building for Success: A CTO's Guide to Generative AI

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 leaders these days have little time for proofs of concept. They need ROI. If you're leading AI transformation in a large organization, this episode of the AI Proving Ground Podcast is your blueprint. AI consultants Kathleen Nowicke and Yoni Malchi share how top enterprises prioritize use cases, align across business units and unlock lasting ROI, and detail a three-step process to get AI right from the start.

Support for this episode provided by: VAST Data

More about this week's guests:

Kathleen Nowicke is an experienced consultant in data-driven digital transformation, with a broader background in Enterprise Architecture and a passion for healthcare. Skilled in leading delivery of complex services engagements, business development, and building high-performing teams. Previous consulting experience with Boston Consulting Group; PhD in Biomedical Engineering from Johns Hopkins University.

Kathleen's top pick: Building for Success: A CTO's Guide to Generative AI

Yoni Malchi is a Managing Director in Consulting Services at WWT focused on AI and Cloud Strategy. He leads AI engagements with key customers bridging the gap between the business and technology teams. Yoni also leads the AI R&D efforts which researches cutting-edge AI techniques, tools, and platforms to provide differentiated recommendations to our clients.

Yoni's top pick: A Guide for CEOs to Accelerate AI Excitement and 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.

Nearly half of today’s AI initiatives are dead on arrival. The culprit? The data. From disjointed systems and undefined use cases to cultures that overestimate readiness, WWT data strategists Bill Stanley and Jonathan Gassner break down why many organizations, and detail how you can build real momentum for AI transformation.

Support for this episode provided by: Dataminr

Learn more about this week's guests:

Jonathan Gassner is a Technical Solutions Architect at WWT specializing in data engineering. He leads pre-sales efforts, aligning sales and delivery through consultative engagement. Jonathan crafts executive briefings, workshops and GTM strategies, supporting clients across sectors. He advances AI R&D, mentors future leaders, manages partner relations and drives innovation by staying ahead of data and AI trends.

Jonathan's top pick: Data Maturity Model

William Stanley is a Chief Technology Advisor with nearly 30 years in IT, specializing in data strategy. With an MBA and BS in Computer Science, he aligns data, technology and business goals to drive outcomes. A trusted advisor and innovative leader, his expertise spans IT strategy, architecture and analytics. A lifelong educator, he also teaches a graduate big data course and brings deep, cross-industry experience to every engagement.

Bill's top pick: A Practical Playbook for AI: Driving AI Adoption in the Enterprise

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.

As AI innovation intensifies, one domain is already feeling the impact: software development. In this episode, WWT experts Nate McKie and Andrew Athan explore how AI-powered coding assistants are improving developer productivity and reshaping enterprise engineering. From Copilot to agentic tools capable of autonomous code generation, they examine how organizations are navigating this transition, balancing speed with quality and redefining the role of human developers. Whether you're leading a dev team or charting your company’s AI roadmap, this is a must-listen for understanding the real-world implications of AI in engineering.

Support for this episode provided by: Windsurf

Learn more about this week's guests:

Nate McKie's passion for computers started as a child, inspired by his father's work at Radio Shack. With a B.S. in Computer Studies, he has over 25 years of experience in software and automation engineering. Now a senior-level AI Advisor, Nate helps customers leverage AI technologies to achieve their business goals, combining his expertise in hardware, software and data to guide smart, impactful decisions on their AI journey.

Nate's top pick: Unlocking the Power of AI Coding Assistants

Andrew Athan is a Technical Solutions Architect III with deep expertise in high-performance, low-latency, distributed computing, consensus and blockchain and high-frequency trading. With a strong background in networks and software, he specializes in designing and implementing cutting-edge solutions to meet complex technical challenges. Andrew's work focuses on optimizing systems for speed, scalability and reliability in fast-paced environments.

Andrew's top pick: Codeium Windsurf Coding Assistance Demo

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.

As AI pushes the limits of traditional IT infrastructure, enterprises are racing to modernize their data centers. In this episode, Mike Parham and Bruce Gray walk us through the behind-the-scenes decisions that matter — from power and cooling challenges to GPU readiness and sustainability. Whether you're modernizing or starting from scratch, this conversation is your blueprint for AI-ready infrastructure.

Support for this episode provided by: Vertiv

More about this week's guests:

Bruce Gray, a results-driven IT executive at World Wide Technology since 2007, brings 25+ years of experience in Building Automation, IT, and Telecom. As Practice Manager, he leads business development and execution for data center design and IT facilities infrastructure. With a background in architecture, programming, and electrical engineering, Bruce excels in strategy, project management, and vendor relations—always seeking challenges that drive impact.

Bruce's top pick: Data Center Priorities for 2025

Mike Parham is a Technical Solutions Architect at World Wide Technology, where he has been delivering innovative IT solutions since 2011. With a strong technical background and a focus on aligning technology with business goals, Mike helps clients design and implement scalable, efficient architectures. He is known for his collaborative approach, deep expertise, and commitment to driving successful outcomes.

Mike's top pick: AI and Data Priorities for 2025

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 systems are only as trustworthy as the data they're trained on — but what happens when that data is intentionally corrupted? WWT's Justin Hadler and Chance Cornell break down the growing threats of data poisoning and prompt injection, explore the challenges of securing AI pipelines and dive into why the next big cybersecurity frontier starts inside the model.

Learn more about this week's guests: 

Chance Cornell joined WWT in 2021 as an intern and is now a Technical Solutions Engineer on the Users and Devices Team, focusing on Endpoint Security, including EDR and XDR. He has developed labs and content around technologies like CrowdStrike, Elastic, and Fortinet. Chance holds a B.S. in Computer Engineering from the University of South Florida.

Chance's top pick: Hands-On Lab Workshop: LLM Security

Justin Hadler is a seasoned technologist with over 20 years of experience in sales and technology. As a Technical Solutions Architect at WWT, he specializes in AI Security. Previously, Justin was a Regional Sales Manager at BigID, helping organizations tackle data discovery and classification challenges. He holds multiple certifications, including CCIE and CISSP, and degrees in Finance, MIS, and Economics. Justin is also Vice Chairman of Search Ministries' Leadership Board and mentors the next generation in tech and sales.

Justin's top pick: Secure Your Future: A CISO's Guide to AI

Support for this episode provided by: Crowdstrike

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.

Where should your AI workloads run? It's one of the most overlooked questions in AI strategy. From surprising constraints around power, cooling and floor space, to the growing demand for GPU-as-a-Service models, this episode delivers a field-level view of the challenges enterprises face when moving from AI proof of concept to production. You’ll hear why infrastructure readiness assessments are essential, how AI workloads differ from traditional IT, and what to consider before buying that next GPU cluster.

Support for this episode provided by: Equinix

Learn more about this weeks guests: 

Chris Campbell is Sr. Director of AI Solutions at WWT, overseeing AIaaS/GPUaaS, Facilities & Infrastructure strategy and delivery. He's held leadership roles in executive engagement, engineering, and architecture at WWT, and led practices at Forsythe, Red Hat, BEA Systems, and AT&T. Chris holds a BA from Columbia University and an MBA from the University of Maryland, where he was a Dingman Entrepreneur Scholar.

Don Molaro is a tech professional focused on making data centers carbon neutral. Based in Cupertino, he holds a master's in Computer Science and 33 U.S. patents. He specializes in systems programming, high-performance storage, and software-defined systems, with experience across industries from finance to HPC. Previously, he held senior roles at Citibank, DataDirect Networks, and Hitachi Data Systems.

Chris and Don's top pick: What is GPU-as-a-Service (GPUaaS) or GPU Cloud?

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.