Designing Conversational BI: How Azure Databricks AI/BI Genie Unlocks Self-Service Insights
Conversational BI fails when answers are not trusted. Self-service analytics only works when the data, metrics, and context behind each answer are governed. In "Designing Conversational BI: How Azure Databricks AI/BI Genie Unlocks Self-Service Insights", Mou Rakshit connects Azure Databricks AI/BI Genie to the governance patterns that make self-service insights credible.
Session details
Business users want faster answers from enterprise data, but most self-service analytics still depends on dashboards, SQL requests, or long back-and-forth cycles with data teams. Conversational BI changes that experience, but only if the answers are trusted, governed, and grounded in the right business context. This session shows how to design a practical conversational BI experience using Azure Databricks AI/BI Genie. We will walk through how to prepare curated datasets, define business-friendly metadata, configure a Genie space, guide users toward reliable questions, and generate accurate answers, summaries, and visualizations from governed enterprise data. The session will focus on what actually makes conversational BI work in the enterprise: trusted tables, clear metric definitions, helpful synonyms, documented assumptions, row-level security, user feedback loops, and well-designed example questions. Using a demo scenario, attendees will see how non-technical users can ask natural language questions, explore trends, compare performance, and drill into business drivers without writing SQL. We will also cover common implementation mistakes, including connecting Genie to unclear datasets, skipping semantic preparation, expecting AI to fix poor data quality, and launching without user training or governance review. Attendees will leave with a practical design checklist for building conversational BI that is useful, safe, and adoption-ready.
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Agenda facts
- Format
- Talk / Presentation
- Kind
- Conference Session
- Topic
- Artificial Intelligence and Machine Learning
- Level
- Intermediate
- Time
- Oct 29, 2026, 9:15 AM
- Room
- Room F
- Duration
- 60 min
Speakers
Link partners to speaker kits when available, or to the public speaker profile on mitechcon.net.
Mou Rakshit
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Session LinkedIn Post
Conversational BI fails when answers are not trusted. Self-service analytics only works when the data, metrics, and context behind each answer are governed. In "Designing Conversational BI: How Azure Databricks AI/BI Genie Unlocks Self-Service Insights", Mou Rakshit connects Azure Databricks AI/BI Genie to the governance patterns that make self-service insights credible. 📅 October 28–30, 2026 📍 Oakland University, Rochester, MI 🔗 https://www.mitechcon.net/sessions/designing-conversational-bi-how-azure-databricks-ai-bi-genie-unlocks-self-service-insights/?utm_source=partner-kit&utm_medium=partner&utm_campaign=mitechcon-2026&utm_content=session-designing-conversational-bi-how-azure-databricks-ai-bi-genie-unlocks-self-service-insights #MITechCon #Databricks #BusinessIntelligence #DataGovernance
Short Session Post
Conversational BI fails when answers are not trusted. Learn how to ground Azure Databricks AI/BI Genie in governed data, metrics, and context. https://www.mitechcon.net/sessions/designing-conversational-bi-how-azure-databricks-ai-bi-genie-unlocks-self-service-insights/?utm_source=partner-kit&utm_medium=partner&utm_campaign=mitechcon-2026&utm_content=session-designing-conversational-bi-how-azure-databricks-ai-bi-genie-unlocks-self-service-insights #MITechCon #Databricks
Newsletter Or Email Blurb
Feature this MITechCon 2026 session in your newsletter or email: "Designing Conversational BI: How Azure Databricks AI/BI Genie Unlocks Self-Service Insights". Conversational BI fails when answers are not trusted. Self-service analytics only works when the data, metrics, and context behind each answer are governed. In "Designing Conversational BI: How Azure Databricks AI/BI Genie Unlocks Self-Service Insights", Mou Rakshit connects Azure Databricks AI/BI Genie to the governance patterns that make self-service insights credible. Format: Conference Session. Topic: Artificial Intelligence and Machine Learning. Level: Intermediate. Scheduled for Oct 29, 2026, 9:15 AM in Room F. Learn more and share the session: https://www.mitechcon.net/sessions/designing-conversational-bi-how-azure-databricks-ai-bi-genie-unlocks-self-service-insights/?utm_source=partner-kit&utm_medium=partner&utm_campaign=mitechcon-2026&utm_content=session-designing-conversational-bi-how-azure-databricks-ai-bi-genie-unlocks-self-service-insights
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- Updated
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