Uploaded June 2026 | Updated September 2026, 2 weeks ago
Introducing Genie One, the data-smart AI worker.
Genie One goes beyond just answering questions. The newest member of the Genie suite of products, Genie One is an actual agentic co-worker that can produce documents, reports, and artifacts.
It's powered by Genie Ontology, a new self-improving context layer that extracts information from across all a company's data — inside and outside of Databricks — for trusted answers and actions. Genie One helps marketing, finance, sales, and other teams automate and orchestrate work.
Learn more: databricks.com/blog/introducing-genie-one-genie-ontology-and-genie-agents
00:00 — Introducing Genie One
00:42— Why AI agents struggle today
05:16 — How the "agentic loop" impacts accuracy, cost, and runtime
07:10 — Introducing Genie Ontology
09:31 — Benchmarking Genie One against other leading AI cowork agents
10:21 — Demo of Genie One and Genie Ontology with Elise Georis, Senior Manager, Product Management, Databricks
17:32 — The shift to proactive AI coworker
19:08 — Genie One's custom MCP tools, skills, and connectors
19:51 — How Warner Music Group, General Motors and Foot Locker use Genie
20:24 — New Genie One availablity on Slack, Teams and mobile devices
Presenters:
Ken Wong, Senior Director, Product Management, Databricks
Elise Georis, Senior Manager, Product Management, Databricks
Introducing Genie One, the data-smart AI worker.
Genie One goes beyond just answering questions. The newest member of the Genie suite of products, Genie One is an actual agentic co-worker that can produce documents, reports, and artifacts.
It's powered by Genie Ontology, a new self-improving context layer that extracts information from across all a company's data — inside and outside of Databricks — for trusted answers and actions. Genie One helps marketing, finance, sales, and other teams automate and orchestrate work.
Learn more: databricks.com/blog/introducing-genie-one-genie-ontology-and-genie-agents
00:00 — Introducing Genie One
00:42— Why AI agents struggle today
05:16 — How the "agentic loop" impacts accuracy, cost, and runtime
07:10 — Introducing Genie Ontology
09:31 — Benchmarking Genie One against other leading AI cowork agents
10:21 — Demo of Genie One and Genie Ontology with Elise Georis, Senior Manager, Product Management, Databricks
17:32 — The shift to proactive AI coworker
19:08 — Genie One's custom MCP tools, skills, and connectors
19:51 — How Warner Music Group, General Motors and Foot Locker use Genie
20:24 — New Genie One availablity on Slack, Teams and mobile devices
Presenters:
Ken Wong, Senior Director, Product Management, Databricks
Elise Georis, Senior Manager, Product Management, Databricks
