Session: Beyond the Hype: Building Production-Ready AI That Actually Scales
A pragmatic, "how-to" session for CTOs and VPs of Engineering.
88% of early agentic adopters are seeing ROI, yet most enterprises are still stuck in "Pilot Purgatory." Let’s look at the Google Cloud blueprint for moving from a demo to a dependable, revenue-generating AI ecosystem.
Key Themes:
Hybrid AI Architectures: Balancing cost, latency, and performance using domain-specific models vs. massive general-purpose LLMs.
The A2A (Agent-to-Agent) Protocol: How open standards are allowing Google Cloud agents to talk to third-party ecosystems safely.
Reliability Over Novelty: Why the "boring" parts of AI—data lineage, error handling, and audit trails—are where the real money is made in 2026.
Bio
I am the Head of Customer Engineering at Google Cloud. My work focuses on helping organizations leverage cloud, AI, and data to drive measurable business outcomes, with a strong emphasis on customer success, product adoption, and value realization.