• Unlocking enterprise data to accelerate agentic AI: How Ab Initio does it Head of Development, Ab Initio Data Governance, Sharing & Integration Product Lead, Google Cloud Our most intelligent model available yet for complex tasks on Gemini Enterprise and Vertex AI Your AI agents are only as good as the data behind them. • For enterprise teams building agentic AI, that’s both the opportunity and the core question: How do you give Gemini and other AI models access to accurate, well-documented data when that data lives across dozens of systems, from modern cloud services to legacy mainframes? • It’s a question many organizations are actively working through. • Gemini and other AI models depend on large volumes of AI-ready data to support agentic workflows. • Most enterprises now store data in many places: different cloud providers, on-premises servers, and legacy systems. • Pulling together the data and metadata necessary for effective AI agents requires connecting all of it.

Article Summaries:

  • Google Cloud and Ab Initio have announced a joint suite of products designed to help enterprises build agentic AI by unifying data and metadata across multi‑cloud and legacy environments. The collaboration adds new data and metadata connectors, and agentic tools that integrate directly with Google Cloud services such as BigQuery, Dataplex, and Gemini. Ab Initio acts as a neutral hub, providing bi‑directional metadata exchange with over 500 sources-including modern cloud services and legacy mainframes-and field‑level lineage from more than 100 extractors. Together, the solution creates a single data fabric that supports scalable analytics, auditability, and autonomous AI workflows.

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