live event
What It Really Takes to Build AI Agents
June 23, 2026
1-2 pm. ET
What separates durable business capability from expensive demos
Join Section’s Head of AI, Michael Domanic, and Cloudera’s Product Lead for AI Platform, Chris Van Dyke, on June 23 from 1 - 2 pm ET as they unpack the governance, strategy, and operational rigor required to scale AI agents to production. They’ll cover questions like:
- What does a strong foundation for agent memory, identity, and oversight actually look like?
- How do you design AI agents that actually help get work done?
- How do you scale a successful AI experiment into something an entire company can use?
- What governance considerations matter most around oversight, autonomy, risk, and accountability?
- How do you measure whether an AI agent is creating real business value?
They’re taking your questions, too. RSVP for free and start building for real adoption, measurable value, and long-term advantage.
Chris Van Dyke
Chris Van Dyke is Product Lead for AI Platform at Cloudera, where he focuses on building AI capabilities that help enterprises bring data and AI together. He was previously Cloudera’s Principal Solution Engineer, and earlier held senior engineering and manufacturing leadership roles at Tesla, where he led large technical teams and infrastructure projects.
Michael Domanic
Michael Domanic leads AI transformation at Section, overseeing generative AI strategy and governance. Previously the Head of AI at UserTesting, he has driven adoption programs that scaled AI tools to widespread weekly use and enabled employees to build hundreds of custom GPTs for internal workflows. He also partners with product leadership on AI-forward roadmap and customer-facing applications.
Chris Van Dyke
Chris Van Dyke is Product Lead for AI Platform at Cloudera, where he focuses on building AI capabilities that help enterprises bring data and AI together. He was previously Cloudera’s Principal Solution Engineer, and earlier held senior engineering and manufacturing leadership roles at Tesla, where he led large technical teams and infrastructure projects.
AI transformation built for real ROI
No AI hype, doom, or theory without application. Just AI upskilling, strategy, and workflows that get results right away, because they're built by people using AI every day.
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