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.

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