Community Bricktalk Alert | Real-Time Data & AI: Tripwise Demo

Tushar_Parekar
Databricks Employee
Databricks Employee

Hey Databricks Community! Join us for a free community-sponsored BrickTalk on Thursday, September 24, 2026. BrickTalks is a community event series where Databricks experts share real-world use cases, demos, and practical insights for building with Data and AI, giving customers a direct line to the people behind the products.

What You'll Learn:

  • Real-Time Data Ingestion & Streaming: How to manage device registration with sub-second reads/writes in Lakebase and stream telemetry via Zerobus through a governed Medallion architecture.
  • AI-Driven Personalization & Pricing: How to generate real-time agent offers using Foundation Model APIs and score behavioral data for usage-based renewal pricing.
  • Self-Service Analytics: How underwriters, product managers, and marketing leads can use AI/BI Dashboards and Genie to answer complex insurance queries in natural language within seconds.
  • End-to-End Governance: How to enforce seamless security, compliance, and control across every layer using Unity Catalog.

Don't miss this opportunity to see how to power real-time data and AI-driven workflows end-to-end!

Date & Time: Thursday, September 24, 2026

  • PT: 9:00 AM
  • ET: 12:00 PM
  • London (BST): 5:00 PM
  • IST: 9:30 PM

👉 Click here to register

ThiamLee
Contributor

This sounds like a great session! Real-world demos on real-time data, AI personalization, and governance are exactly the kind of insights that make these events valuable. Looking forward to it! 🙌

Tushar_Parekar
Databricks Employee
Databricks Employee

🚨 Last chance to lock in your spot!

Don't miss out on tomorrow's BrickTalk featuring the Tripwise demo, where you'll see how to build end-to-end real-time data ingestion, AI-driven offer personalization, and self-service analytics using Databricks Lakehouse architecture.

⏰ Happening tomorrow, September 24th! 

👉 Register today to save your spot! 🚀

Tushar_Parekar
Databricks Employee
Databricks Employee

Hey Databricks Community!
If anyone missed yesterday's awesome BrickTalk session, you can watch it here.