Google Cloud Next 2026 / Las Vegas
Pre-Keynote Breakfast Roundtable
Your agents don't need breakfast. You do.
Join us for a private roundtable on where agentic workflows go from here.
No Demos. No Decks. Just the Hard Questions.
Join Josh Patterson (Patterson Consulting) and David Aronchick (Expanso) for a complimentary breakfast roundtable at Google Cloud Next 2026 in Las Vegas.
The keynote is going to tell you that AI agents are transforming every industry. They're not wrong. But here's the part the keynote won't cover: once your agents are running, who's responsible for making sure the decisions they produce are actually correct for your business?
What we'll dig into:
- Agentic workflows: hype vs reality
- The distributed compute angle: what Expanso's work on running compute at the edge means for where your decision logic actually lives
- Making agent output deterministic enough that your CFO isn't nervous about it
- What Google Cloud's agentic tooling (Vertex AI, BigQuery, Gemini) actually enables — and what it still doesn't
This is a small, curated roundtable. No vendor pitches. No slides. Coffee, a proper meal, and a real conversation with people who are building and deploying this stuff in production.
Location: Las Vegas (venue details sent upon RSVP confirmation)
Date / Time: Google Cloud Next 2026 — Wednesday April 22nd, 7:30am PDT
Meet Your Hosts
What We'll Be Talking About
The roundtable will explore three converging shifts happening right now in enterprise data and AI
BI in the Agentic Era
Dashboards answer "what happened." Agents answer "what does it mean and what should we do?" That shift sounds incremental. It isn't. When reasoning enters your analytics pipeline, the contract between your data platform and your line-of-business leaders changes entirely — and most BI architectures weren't designed for it.
Decision Intelligence That's Actually Consistent
The hardest part of deploying Decision Intelligence Agents isn't the AI — it's making the output deterministic enough to trust in production. Finance leaders, underwriters, and supply chain managers need answers that are auditable and repeatable, not just plausible. Configuring agents to your business logic, not just to your data, is where the real work is.
Distributed Compute Meets Cognitive Labor
Where should decision logic actually run? Expanso's work on distributed compute (Bacalhau) pushes processing closer to where data is generated — which matters when your decision workflows need to run at the edge, inside your data perimeter, or across hybrid environments. The architecture of cognitive labor automation is not just a cloud problem.
Related Reading
Background on the themes we'll be exploring at the roundtable
Decision Intelligence
Decision Intelligence focuses applied LLMs on narrowly defined, high-effort analytical tasks that line-of-business workers actually need done, rather than on generic “ask anything” chatbots that rarely become useful products.
Read
AI is Just Productivity You Don't Understand Yet
The term "artificial intelligence" doesn't mean anything anymore. What it actually means for enterprise operations is a different question entirely.
Read
The Evolution of Knowledge Work
The current turbulent period of labor isn't new. It's knowledge work accelerating to a pace the old playbook wasn't built for.
Read