Databricks and Google Cloud have to make the latest Gemini models available as native products within the Databricks Data Intelligence Platform.
This partnership empowers organizations to build, deploy and scale AI agents using Google Gemini’s advanced capabilities directly on their enterprise data – securely and with unified governance – within their Databricks environment.
“By using Google’s Gemini models directly on the Databricks Data Intelligence Platform, organizations can build and scale AI agents tailored to their specific domains and data,” said Ali Ghodsi, Co-founder and CEO, Databricks.
“Gemini is advancing at an impressive rate, and it’s no surprise that enterprises everywhere are seeing value from these models.”
“Our partnership with Databricks is another critical step in helping every enterprise transform their businesses with generative AI,” said Thomas Kurian, CEO, Google Cloud.
“By providing Databricks customers with direct access to Gemini’s advanced capabilities, customers can more easily build and deploy sophisticated AI agents, automate complex data workflows and uncover more predictive insights from their own data, accelerating innovation at scale.”
Partnership Highlights:
- Native Databricks integrations: Gemini models will be made available and billed as native products within the Databricks Data Intelligence Platform
- Domain-specific AI agents: Organizations can now use Gemini models to develop AI agents capable of handling complex datasets and workflows
- Unified governance: Databricks Unity Catalog ensures end-to-end governance and responsible AI use.
- Enhanced productivity: AI agents can use Gemini to automate business processes, generate insights from live data and support decision making with current, context-rich answers.
