The rise of agentic AI systems presents a new paradigm for business intelligence, shifting from human-driven dashboards to AI-driven, conversational data exploration. However, a critical challenge remains: how can we securely and reliably connect Large Language Models (LLMs) to the curated, governed data locked within enterprise BI platforms?

This session introduces the Looker MCP Server, a new service designed to bridge this exact gap. Built upon the robust foundation of the MCP Toolbox for Databases, the Looker MCP Server exposes Looker's powerful semantic model as a stable, easy-to-use set of tools for AI agents. By providing a secure and scalable API, it empowers developers to build a new class of "Agentic BI" applications that can independently query data, analyze trends, and deliver insights, all while inheriting Looker's existing governance and data permissions.

This talk is for AI developers, data platform owners, and BI practitioners who are looking to leverage their existing investment in Looker to build the next generation of data-driven AI applications. Attendees will leave with a clear understanding of how to use the Looker MCP Server to safely unlock their enterprise data for agentic AI systems.

Découvrez Gemini CLI, un outil en ligne de commande permettant d'interroger et de modifier des bases de code de toute taille. Cette démonstration en direct présente des workflows pratiques pour l'intégration de code existant, le développement de fonctionnalités, la CI/CD, ainsi que l'automatisation de vos tâches d'ingénierie quotidiennes.

Abdel est un expert en développement cloud chez Google Cloud. Il co-anime le podcast Kubernetes de Google et est ambassadeur de la CNCF. Ses domaines d'expertise sont GKE/Kubernetes, les Service Mesh et le Serverless. Abdel a débuté sa carrière dans les centres de données et l'infrastructure au Maroc, son pays d'origine, avant de rejoindre le plus grand centre de données européen de Google en Belgique. Il a ensuite intégré l'équipe Google Cloud Professional Services en Suède et a travaillé pendant cinq ans avec les clients de Google Cloud sur l'architecture et la conception de systèmes distribués à grande échelle, avant de se consacrer à la promotion et à l'engagement communautaire.

This session dives into an AI-accelerated development technique for building and deploying a Gmail Add-on. We'll explore integrating Gemini CLI for AI-assisted development, Google Apps Script for backend logic and Workspace integration, and the Model Context Protocol (MCP) to connect Gemini CLI to Google Workspace tools and Google Workspace developer documentation. Join us to gain the practical knowledge needed to extend Gmail's capabilities with modern generative AI features.

A practical tour of Gemini CLI, Google's open-source toolkit for coding agents. Max will unpack its core design principles, from built-in tools and system prompts to memory, context management, and sandboxed environments, and show how developers can tailor and extend it for their own workflows.