Unlocking enterprise data to accelerate agentic AI: How Ab Initio does it

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.

To address the data challenges of the AI era, Google Cloud and Ab Initio are announcing a suite of products, including new data connectors, metadata connectors, and agents. Taken together, these can help build agentic AI ...