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Genie One, Genie Ontology and Genie Agents

Summary: grazia discusses the reasons why most enterprise "data chatbots" fail, emphasizing their lack of business context to understand company-specific data definitions. They introduce Databricks' new solutions: Genie One, which acts as a comprehensive AI coworker within existing tools; Genie Ontology, a context graph for ensuring accuracy in data understanding; and Genie Agents, which turn successful data interactions into reusable workflows. A link is provided for further exploration.
AI Summary

Most enterprise "data chatbots" fail because they lack the essential business context to understand what your data actually means. They write valid SQL, but completely miss how your specific company defines metrics like "churn" or "revenue."

Databricks just announced a major evolution to solve this with the launch of Genie One, Genie Ontology, and Genie Agents.

Genie One: Moves beyond simple Q&A into a full-fidelity, action-taking AI coworker. It works right inside the tools you already use (Slack, Teams, Mobile) to automate workflows, schedule alerts, and draft business reviews.

Genie Ontology: The secret weapon for accuracy. It acts as a living context graph that automatically extracts definitions from your tables, dashboards, and code. It uses a PageRank-style approach to weigh definitions based on authority and usage, crushing hallucinations.

Genie Agents: Turns any successful data conversation into a reusable, shared agent that teammates can call by name to repeat trusted workflows.

Check it out here:

https://www.databricks.com/blog/introducing-genie-one-genie-ontology-and-genie-agents?utm_source=linkedin&utm_medium=organic-social

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