Hi Genie Community,
One of my biggest takeaways from DAIS is that Genie is clearly evolving beyond conversational analytics into something much broader for enterprise teams.
With Genie One, Genie Agents, and Genie Ontology, the conversation is shifting from “how do I ask better questions?” to “how do I turn trusted business context into action?”
What I find especially exciting:
Genie One expands Genie beyond analytics with integrations across tools like Slack, Teams, mobile, and MCP-based assistant experiences.
Genie Agents make it possible to turn a prompt into a shareable autonomous agent that can reason over data and help complete multi-step workflows.
Genie Ontology adds the business context layer by extracting knowledge from tables, queries, dashboards, pipelines, and connected apps, then helping Genie identify what to trust.
To me, that is the really exciting shift: from chatbot to data-smart coworker.
Curious how others are thinking about this after DAIS:
Which of these feels most impactful in real customer conversations?
Where do you see the biggest opportunity: better analytics, more automation, or stronger business context?
Would love to compare notes with the group.