Events for everyone.

Stop managing clusters and start delivering insights by combining the ease of BigQuery with the raw processing power of Apache Spark. This session explores how to operationalize large-scale machine learning, from processing and transforming petabytes of unstructured data to running distributed inference. We will walk through building production-grade pipelines in a unified, serverless environment that bridges the gap between data engineering and advanced machine learning.

Dive into the recently announced Google managed MCP (Model Context Protocol) Servers. Often described as the "USB-C for AI," MCP provides a standardized, globally-consistent interface that allows AI agents to interact with complex services without custom-coded API wrappers. We'll explore how Google managed MCP servers such as Cloud Run/GKE, Cloud SQL and Google Maps remove the burden of infrastructure management while providing an enterprise-ready foundation for agentic workloads.

The unified data foundation for enterprise AI success This session is ideal for analytics and data teams looking to design and operate AI-ready data platforms at enterprise scale.

Automate migration assessments and accelerate your path to AI-driven innovation on Google Cloud. This session is ideal for enterprises and IT leaders focused on accelerating and optimising their cloud migration and modernisation journey with AI.

This session is ideal for leaders and professionals responsible for designing and implementing a comprehensive AI skills development framework for their organisation.

Explore how you can operationalise threat intelligence in real-time, best practices for securing AI, new cloud security technology, and more. This session is ideal for security teams looking to operationalise emerging threat intelligence in real-time.

Hands-on: Orchestrate Veo & Gemini 3 Pro Image to ship broadcast-quality assets at startup speed.

A startup's guide to defending against sophisticated AI threats and safeguarding AI innovations. This session is ideal for technical leaders, security engineers, and AI developers at startups looking for practical strategies and tools to secure their generative AI implementations on Google Cloud.