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๐๐ป๐๐ฟ๐ผ๐ฑ๐๐ฐ๐ถ๐ป๐ด ๐๐ต๐ฒ ๐ป๐ฒ๐ ๐๐ฒ๐ป๐ถ๐ฒ: an always-on, autonomous AI coworker that proactively handles long-running work within your organization's guardrails.
AI assistants can answer questions and run analyses. But most enterprise work is complex and continuous, requiring teams to track changes, follow up, and take action.
Genie Ontology is now generally available, providing the shared business context behind it. The agentic ontology now includes new knowledge sources and new ways to curate and govern that context.
New capabilities across Genie Agents and plugins extend that same context to more workflows and AI tools.
Here's what's new: databricks.com/blog/new-geniโฆ
From a small Berkeley research lab to a new 235,000+ square-foot home in San Francisco.
We've officially opened One Sansome, our new global HQ and a hub for the teams advancing AI research and building products like Genie, Lakebase, and Unity Gateway.
It's part of our $1B+ commitment to San Francisco and the next chapter in our story.
Take a look inside: databricks.com/blog/databricโฆ
Databricks retweeted
I am 10x better at my job compared to a year ago. I run all of the company on Genie. But the reason it's really powerful is the Agentic Ontology, which is constantly being curated and evolved for the whole company. This helps our agents have much higher quality and significantly less cost. This is how it works:
databricks.com/blog/genie-geโฆ
๐ฝ Spotted in Times Square.
Databricks on the @Nasdaq tower, celebrating the inaugural AI 100.
AI is moving beyond answering questions. It's writing code, analyzing data, and taking on entire business processes.
But powerful models alone aren't enough. They need access to the right company data, business context, and governance.
That's what our partnership with @OpenAI brings together:
โข Accelerating work for business users with ChatGPT + Genie
โข Coding with enterprise-level governance through Codex and Unity Gateway
โข Transforming business processes with GPT models and Databricks Apps
Three ways to bring frontier AI into the enterprise, built around the data and controls businesses already rely on.
See how it all works together: databricks.com/blog/openai-aโฆ
Databricks retweeted
I am hiring a Researcher for my team at @databricks AI Research.
If you have a deep instinct for measuring complex systems and want to build self-improving agents at the frontier, I'd love to talk.
Link below ๐
Databricks ranked #3 on @NewcomerMedia and @BessemerVP's inaugural AI 100 list of the world's top private AI companies.
AI agents are starting to do more than answer questions. To be useful at work, they need to understand your business, operate within its governance requirements, and act on trusted data.
That's what we're building with the Databricks Data + AI Platform.
Thanks to Newcomer and Bessemer for the recognition!
Gemini 4 Hydrogen is available on Databricks on Day 0.
Pair it with Carbon: Carbon plans and coordinates, Hydrogen executes and verifies sub-agent tasks. Google reports 2.5x faster task completion than Gemini 3.8 Flash.
Govern both through Unity Gateway ๐ซก
Meet Gemini 4 Hydrogen: built for rapid coding, multimodal synthesis, and everyday workflows.
It finishes tasks 2.5x faster than 3.8 Flash and surpasses Argon on the @ArtificialAnlys Intelligence Index.
Your business context can now come with you into ChatGPT.
With the new Genie plugin for ChatGPT, ask complex questions like why activation is low or which accounts are at risk. Genie uses your business ontology to interpret metrics, finds the right data, runs SQL, and can route deeper investigations to domain-specific Genie Agents. You get answers backed with rich citations.
Long-running agents like Dots can also bring that context into their own runtime as they work on long running tasks.
Get started with the Genie Plugin in ChatGPT today: openai.com/business/plugins/โฆ
Genie Agents can now analyze thousands of documents alongside governed data and take action inside your tools.
A table might show margins declining, but the explanation could be buried in analyst reports.
With unstructured data analysis now in public preview, Genie Agents can connect those findings in one conversation, with page-level citations.
The next step is action. Native MCP connectors are now generally available, letting agents take those insights further by creating tickets, updating records, and posting messages across enterprise tools.
databricks.com/blog/enterpriโฆ

ALT A presentation slide featuring Databricks' "Week of Genie." The slide shows a chat interface with a question about writer's block in data scientists. The response lists several causes: lack of statistical knowledge, excessive coding demands, fact-driven decision making, time constraints, and over-reliance on proprietary tools. The slide has a red background with decorative star-like shapes.
The first-ever @Gartner_inc Magic Quadrantโข for Data Lakehouse Platforms is here, and Databricks has been named a Leader!
In our opinion, this is a major milestone for the lakehouse architecture, which we believe validates the category we pioneered, and we're proud to see it as a category in a Magic Quadrant.
Explore the full report: gartner.com/doc/reprints?id=โฆ
Databricks retweeted
Lakebase will mark a phase shift in database technology! It'll enable LTAP, true multi-master, etc.
Databricks retweeted
Genie has transformed how I work as CTO at Databricks, even more than coding agents. It connects across production data, GitHub, Drive, Slack and the web, and automatically learns from this data (Genie Ontology), so I can ask it to do stuff like:
- Tell me how competitors position vs each of our products and which critiques are valid
- Find when and why a design decision was made
- Find bugs based on production events + code changes
- Prototype code changes that would speed up our slowest services in production
Really, it can do so much stuff that I would never even bother to ask a person that it totally changes how you work and the size of tasks you can take on directly. Learn more about our latest release of Genie: databricks.com/blog/new-geniโฆ
Introducing Databricks Genie plugins for ChatGPT, Claude, Microsoft Copilot Cowork and Grok Bot!
More data doesn't automatically mean better answers. An AI agent may find the right data but still use the wrong context.
Now, your agents can tap into Genie to access governed business context, investigate questions across data and documents, and return answers with citations, all within their existing workflow.
Build your Ontology once. Bring it to the AI tools your teams already use.
databricks.com/blog/bring-yoโฆ
๐ก๐ฒ๐ ๐ถ๐ป ๐๐ฒ๐ป๐ถ๐ฒ ๐ข๐ป๐ฒ: dynamic dashboards and slides, more ways to search, org directories, shareable skills, tracing, and more!
Work rarely stays in one application. Genie One brings search, finished work, and actions across connected tools into one home for AI cowork, grounded in Genie Ontology.
Through Unity Gateway, admins can trace sources and actions, control tool access and approvals, and manage usage and costs, helping teams scale AI cowork confidently.
databricks.com/blog/genie-onโฆ
Databricks retweeted
At 12,000 employees, AI Ghodsi is the first to admit that he can't know everyone and that they are unlikely to confess the things that go wrong to him. But he doesn't need them to. He uses Databricks' newly revised Genie agent for that.
spr.ly/6015ByECHx
Genie Ontology is now Generally Available.
Most business knowledge isn't formally modeled. It lives in dashboards, SQL queries, notebooks and documents. Genie Ontology learns from everyday work, combines that context with governed Unity Catalog semantics, and ranks sources by authority so agents use trusted information.
What's new:
- ๐๐ฒ๐ป๐ถ๐ฒ ๐ฆ๐ฒ๐ฎ๐ฟ๐ฐ๐ต: Search enterprise knowledge across Google Drive, Jira, Confluence and Workday
- ๐๐
๐๐ฒ๐ฟ๐ป๐ฎ๐น ๐ธ๐ป๐ผ๐๐น๐ฒ๐ฑ๐ด๐ฒ ๐๐ผ๐๐ฟ๐ฐ๐ฒ๐ (Beta): Bring in business logic from Power BI
- ๐ข๐ฟ๐ด๐ฎ๐ป๐ถ๐๐ฎ๐๐ถ๐ผ๐ป๐ฎ๐น ๐ฑ๐ถ๐ฟ๐ฒ๐ฐ๐๐ผ๐ฟ๐ถ๐ฒ๐: Add people, teams and reporting relationships
- ๐จ๐ป๐ถ๐๐ ๐๐ฎ๐๐ฎ๐น๐ผ๐ด ๐๐ผ๐บ๐ฎ๐ถ๐ป๐ ๐ฎ๐ป๐ฑ ๐ฃ๐ฎ๐ด๐ฒ๐: Now GA
- ๐ข๐ป๐๐ผ๐น๐ผ๐ด๐ ๐ ๐ฎ๐ป๐ฎ๐ด๐ฒ๐ฟ: Coming soon in Beta for curation and governance
In a benchmark developed with @turingcom, Genie with Genie Ontology delivers 1.6ร the accuracy with less than half the tokens.
databricks.com/blog/announciโฆ
Databricks retweeted
A year ago, I ran @databricks totally differently from today. Getting stuff done at Databricks involved calling ppl, scheduling meetings, and lots of back and forth.
Today, I just wake up and use Genie, which works for me in the background. I often just use the phone app to queue up work in the background.
Three examples from just this week:
โ Org charts. How do we flatten the org? It literally found me the hotspots where many projects had gotten stuck. Turns out the data was already in the ontology graph.
โ New internal project everyone raves about (Keanu). Genie monitored the slack channel, got all the insights, correlated them with the source code, and gave me a dashboard of what I needed.
โ New culture survey. Used ontology to figure out from the org chart, work output, and survey scores, which leaders are AI pilled. Why certain scores (e.g. work-life balance) are so low.
These are things that used to take me hours and many meetings, often waiting for the data science team. This is possible because Genie has access to an Agentic Ontology, so it proactively does all the work in the background for me.
Learn more about our next-generation release of Genie:
databricks.com/blog/new-geniโฆ
Starting in one hour ๐ง
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Tomorrow, join Databricks Co-founder and CEO @alighodsi, @OpenAI Co-founder and President @gdb, and other special guests for DATA + AI LIVE and a first look at the next generation of Genie, the data smart AI coworker.
Context is just the beginning.
9 AM PT. Save your spot:
linkedin.com/events/data-ailโฆ




















