Architect the Enterprise Context Layer for AI Agents
Hosted by Priyanka Vergadia and Austin Kronz
In this video
What you'll learn
Define what 'context' means for AI agents
Spot the walls that stall enterprise AI deployments
Sketch the architecture of a context platform
Why this topic matters
You'll learn from
Priyanka Vergadia
Top 0.1% AI & Cloud Leader | Visual Storyteller | TED Speaker
I've spent 15 years at the frontier of AI and Cloud leading product launches at Google and Microsoft that shaped how companies build with technology.
At Google, I led Developer Advocacy for North America and launched Gemini Code Assist alongside the CEO at Google Cloud Next. At Microsoft, I advise C-suite executives on AI transformation across GitHub Copilot and Azure. I've build a FDE and outcomes based customer facing engineering team from scratch.
I'm a TED speaker, Wharton faculty, and author of 2 bestselling books on Cloud and Generative AI.
But what sets me apart is storytelling. I built one of tech's most recognized visual education brands turning complex AI and Cloud concepts into content that has reached millions.
I teach what I live every day at the world's most innovative companies.
Austin Kronz
Field CDAO @Atlan
Austin is the Field Chief Data and AI Officer at Atlan, working with CIOs, CDAOs, Chief AI Officers, and AI architects at Fortune 500 enterprises on the context layer their AI agents need to work in production. A former Gartner Research Director covering analytics and data science, he now sits between forward-deployed engineering and GTM leadership in the room when the architecture gets drawn, across enough of those rooms to see which patterns repeat. He treats the role as open research his own framing is "expanding my personal context window." He hosts WTF is the Context Layer?Atlan's live series for AI and data leaders: one unresolved question per episode. He started his early career as a practitioner building revenue-cycle and analytics software in the healthcare industry.
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