Eventos para todos.

Move from AI pilots to production and empower your lean team in four steps. 🗓️ October 14, 2026 🕒 Europe, Middle East, Africa: 11:00 AM–11:45 AM BST 🕒 North America: 11:00 AM–11:45 AM PDT 🕒 South America: 3:00 PM–3:45 PM GMT-3

Ask Google Cloud experts how to eliminate bottlenecks, optimize goodput, and scale for the Agentic Era.

Data architectures face intense pressure as AI agents require rapid, concurrent queries over fresh data. In this technical session, discover how to run high-performance Spark jobs on Apache Iceberg data using Google Cloud.  Learn how to deploy zero-ops serverless batch ETL pipelines, run ephemeral interactive sessions for PySpark data prep in your IDE of choice, and use agentic AI capabilities to build pipelines and troubleshoot errors. Explore how Lightning Engine bypasses JVM bottlenecks with native C++ execution and the Lakehouse runtime catalog enables zero-copy BigQuery analytics without lock-in.

Skip the boilerplate configuration. In under an hour, this hands-on, code-first lab shows you how to build and deploy an end-to-end, enterprise-ready agentic application from scratch.  What you’ll do:Automate environment provisioning and system requirements using AI developer tools.Equip your agent with state-of-the-art tools using Gemini Enterprise and build an integrated frontend with Antigravity.Orchestrate stateful, multi-turn interactions and manage enterprise controls using natural language prompts.Walk away with a fully functional, production-ready agent deployed with a sleek frontend.

AI applications often stitch together multiple databases and caches, leading to stale data and complex pipelines. Join this technical deep dive to learn how Bigtable's new integrated in-memory tier and hybrid storage architecture eliminate this burden.  We will explore how in-memory massive scaling, real-time aggregations and isolated batch queries allow you to consolidate OLTP, caching, and historical analysis into a single database. See a live demo of Bigtable Enterprise Plus features that optimize resource management, isolate workloads without data movement, and provide new developer interfaces to allow you to build applications in familiar ways.

Construye el futuro de la era agéntica

In production AI, the language model is a commodity; the real differentiation lies in the scaffolding. Harness engineering is the discipline of building the infrastructure that wraps, controls, and restricts agents. We’ll explore five essential layers for a robust system: orchestration, evaluation, observability, safety constraints, and memory. Learn how treating the harness as a first-class citizen makes complex agentic workflows predictable, debuggable, and safe.

Build with confidence. Secure and defend at scale. As AI keeps reshaping the enterprise, security must move faster than ever. Join security experts from Google Cloud, Mandiant, and Wiz to learn how to securely build and govern AI agents, safeguard applications from the ground up, protect your systems against new AI-driven attacks, and respond quickly when risks appear. Choose your regional summit: Europe, the Middle East, and Africa | Asia Pacific | Japan. November 4, 9:00 AM–10:30 AM PST

Executive focused event featuring thought leadership on AI ROI, cost efficiency, security and governance; customer story, and discussion groups in the bay area.

This event is an instructor-led developer hands-on lab workshop in Houston designed to immerse attendees in the latest Google Cloud AI and Data Analytics offerings.

AI Navigators Forum in Dallas

AI Navigators Forum: NYC