When a global fashion retailer faced the collapse of its legacy BI platform — 27,000 MicroStrategy reports across four business domains, with support expiring in months — the clock was ticking. A 12-month migration roadmap stood between them and a hard deadline. CI&T and Databricks turned that timeline upside down. Using 19 bespoke AI accelerators built on Databricks, CI&T's FLOW delivery model compressed a year of work into 20 weeks — a 61.5% reduction in timeline. GenAI agents analyzed the entire report estate, automated data engineering and QA, and drove a 4x productivity boost on key migration steps. Specs that once took 7.5 days were completed in 2 hours. The result: a modern lakehouse on Databricks and Power BI, 250 self-service reports built independently by business teams, £1.2M in cost avoidance, and a data culture that put insights in the hands of everyone — not just specialists. This is what happens when AI executes, humans guide, and Databricks powers it all.
Great AI answers need more than governed data alone. They need enterprise context — the people, documents, conversations and workflows that turn an insight into action. In this session, we’ll show how Glean and Databricks bring those pieces together in one natural-language experience. With Glean connected to Databricks through AI/BI Genie, employees can ask business questions in plain English and get answers grounded in Databricks governance and permissions, enriched with the broader company context around it. The result is a faster path from analytics to decisions, with trusted insights that are more accessible, more actionable and more useful across the business. In this session, we’ll demonstrate how this unified experience works by showing how sample questions are routed from Glean to Databricks Genie, returning answers with a clear path back to the underlying data — so organizations can make data-driven decisions more accessible, trustworthy and actionable across the business.
Azure Databricks is purpose-built to help organizations get more from their data and AI investments through Microsoft's strategic partnership with Databricks and deep integrations across the Microsoft Data & AI ecosystem. Join us to learn how customers are realizing greater value with Azure Databricks through native experiences spanning Microsoft Entra ID, Power BI, Foundry, Copilot Studio, and more. We'll share customer success stories, and highlight recent product innovations to make the most of Azure Databricks data in Microsoft 365 and Microsoft Fabric, and explore how the combined strengths of Microsoft and Databricks help organizations accelerate analytics, AI, and business outcomes.
partial: All verifiable upcoming-edition names on the inspected page were extracted. This is not a claim that the final event roster is complete. Reviewed 2026-09-10T19:52:29.260Z.
sponsors
complete: All named entries in the inspected public directory snapshot were extracted; the organizer may add or change entries. Reviewed 2026-09-10T21:50:35.865Z.
exhibitors
not accessible: Public source requires further dynamic or visual extraction (dynamic_directory_not_extracted). Missing names are not guessed. Editorial review date unavailable.
attendees
not extracted: A public named attendee roster has not been extracted. Speakers and company employment do not imply named attendance. Editorial review date unavailable.
agenda
partial: Only the inspected program material is included (partial_session_extraction); full agenda coverage remains incomplete. Reviewed 2026-09-10T19:52:29.260Z.
Sources
Showing 6 of 6 source records. A source check is not a claim of complete extraction.
September13 partial agenda update adds three explicitly sponsored lightning talks with no assigned times/date in current catalog; date remains null. Existing sponsor identities retained (CI&T (NYSE:CINT),Glean,Microsoft). Full roster/agenda freshness remains at prior review: source corrects Geet Bhanawat Bhanawat to Geet Bhanawat, Srikanth Srikanth to Srikanth Avatapalli, and removes Melanie Botha from one breakout. Existing records/relationships retained pending identity reconciliation.