Let’s talk about making your data strategy AI-ready.

We’re ready to help you move beyond the prompt and start orchestrating outcomes with agentic AI.

Request a data strategy workshop today

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Je souhaite que Google m'envoie les actualités, les mises à jour de produits, les informations sur les événements et les offres spéciales concernant Google Cloud.

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The path from a task-based chatbot to an AI agent requires more than just a model—it requires a foundation. Request a data strategy workshop today and our specialists will help you navigate the "AI readiness gap" by focusing on:

Shift to agent-scale: Move from fragmented data across models, data warehouse, and operational databases. With a vertically integrated stack, we’ll help you ground AI models in your enterprise data—including real-time transactional and historical analytical data
Increase flexibility: Activate data, whether in open formats, across clouds, or in native engines, without costly modernization projects. Learn how to use the Agent Development Kit (ADK) and Gemini Enterprise to build agents that can autonomously plan multi-step tasks, cleanse data, and orchestrate complex actions
Ensure trust and governance: Build the bridge between intelligence and action with active oversight, ensuring every automated action is permissioned, traceable, compliant, and safe. We’ll show you how to use context and semantics to ensure every AI agent works from a consistent, secure, and unbiased data source

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