Accelerate Data and AI Transformation with Azure Databricks
Microsoft Events feature William Hendry, Miranda Luna, and Anavi Nahar presenting Azure Databricks as the backbone for unified data and AI analytics, with deep integration into the Microsoft ecosystem.
Accelerate Data and AI Transformation with Azure Databricks (BRK128)
This session from Microsoft Ignite 2025 demonstrates Azure Databricks as a central data and AI platform for organizations pursuing scalable, collaborative, and data-driven solutions.
Key Topics
- Customer Showcase: EyeFi implementation for advanced analytics
- AIBI and Genie: Conversational Analytics, governed and secure with Unity Catalog
- Microsoft Foundry Integration: Announcement of Genie for AI agents and real-time solution launches
- Azure Databricks Connector: June release supporting real-time interactions across Microsoft platforms
- Monitoring and Evaluation Tools: Genie capabilities, built-in evaluation without extra setup
- Knowledge Assistant: Handling unstructured data sources for analytics
- Multi-Agent Supervisor: Routing queries between Genie and Knowledge Assistant for advanced decision support
Microsoft Ecosystem Integration
- Power BI & Power Apps: Seamless analytics and visualization, driving actionable data-driven decisions
- Microsoft Foundry: Enables AI tools and agent development within enterprise workflows
Real-Time Decision Making
- Built-in Monitoring: Immediate insights and evaluation tools to support ongoing analytics
- Governance: Unity Catalog for secure management of analytics assets
Speakers
- William Hendry
- Miranda Luna
- Anavi Nahar
Resources
Session Details
- Intermediate (Level 200)
- English (US)
- Session ID: BRK128
- Chapters include customer showcases, product announcements, and technical deep dives
This session emphasizes the transformational role of Azure Databricks in enabling real-time analytics, AI adoption, and efficient data governance within the Microsoft cloud ecosystem, offering practical tools and strategies for integrating advanced AI and data platforms.