Databricks Introduces Unified Context for Enterprise AI

Genie One leverages unified context to answer questions in business terms, show reasoning on trusted data, and execute actions within tools like Slack and Teams. It aims to facilitate data-driven work by integrating AI into existing business processes and tools.

Genie Ontology acts as the unified context layer, creating a knowledge graph of business terms, metrics, entities, and relationships. It helps AI assistants understand and follow key business concepts across different systems, ensuring decisions are based on a consistent and trusted view.

Genie One and Genie Ontology work with Unity Catalog to automatically apply permissions and governance controls to AI-generated answers and actions. This ensures that AI operates within established business rules and access policies, maintaining trust and compliance.

Genie One integrates into tools such as Slack, Microsoft Teams, and dashboards, allowing users to ask questions and receive insights directly within their existing workflows. This aims to reduce friction and improve the adoption of AI in daily business operations.

Scattered business context across systems and teams hinders AI assistants from supporting critical decisions. A shared, governed context layer allows AI to work from the same business view as humans, improving decision-making accuracy.

Databricks suggests starting with recurring, data-intensive use cases like forecast calls and establishing a company-owned context layer as an enterprise asset. This approach aims to maximize the measurable impact of AI coworkers by focusing on critical business processes and reusable context models.