Databricks

Learn Databricks in under two hours as Alex Freberg walks through the platform end to end, including: – AI analytics tools like Databricks Genie and Assistant – Importing files and data sources – Exploring SQL Editor and notebooks – Building dashboards Follow along with Databricks Free Edition: https://lnkd.in/gZPbTyUQ

The Big Book of Data Warehousing and BI looks at why lakehouse architecture is foundational to unifying data, enabling real-time analytics, and preparing for AI across the enterprise. Explore practical guidance on: - Migrating from traditional data warehouses - Modeling data in a lakehouse - Managing cost and performance at scale - Governing data while supporting modern BI and analytics workflows https://lnkd.in/gn_iYyRM

We analyzed Agent Bricks usage data to understand how companies are actually using AI agents in real situations. The key finding: building multi-agent systems is a top use case and grew 327% – marking the next frontier in enterprise AI. Learn more about this and other AI trends in the State of AI Agents: https://lnkd.in/gx6Qt7SD

AI-powered applications are pushing traditional databases beyond what they were designed for. In this executive briefing, Databricks VP of Product Shanku Niyogi and product leaders share how Lakebase introduces a new transactional foundation built for the AI era. What you’ll learn: - Why intelligent applications strain traditional architectures - How Lakebase changes the equation - How unifying data, applications, and AI reduces complexity - How application architectures are evolving https://lnkd.in/gWTyDvYU

Databricks Chief AI Scientist Jonathan Frankle recently joined Radical Ventures partner Vin Sachidananda, PhD for a Masterclass session on what’s actually holding enterprise AI back. Jonathan shares his path from academia to Databricks, why early efficiency breakthroughs now feel “quaint,” how evaluation has become the missing infrastructure for AI in production, and why adoption is constrained less by talent than by confidence, proof, and measurement. Listen to the full conversation: https://lnkd.in/gRQXtr6u

In the State of AI Agents, usage data shows how AI agents are reshaping database operations across production and development workflows. Key findings: - 97% of database branches for testing and development are now created by AI agents, reducing setup time from hours to seconds - 80% of databases on Neon Postgres are now created by AI agents, up from 0.1% two years ago Read the new report: https://lnkd.in/gx6Qt7SD

7-Eleven store maintenance technicians keep stores running smoothly by servicing a wide range of equipment — from food service appliances and refrigeration units to fuel dispensers and Slurpee machines. To support faster fix times, 7-Eleven built an AI agent that provides instant document access and visual part identification. By unifying retrieval and image understanding on the lakehouse, 7-Eleven: - Cut search time by up to 60% - Improved first-time-fix rates by 25% - Reduced latency by over 40% after consolidating a complex setup https://lnkd.in/g27dzbZP

The future of data belongs to agentic analytics, not legacy BI. In this upcoming virtual event with Anthropic and Alex Freberg, see how agentic analytics is changing how teams work — and learn practical skills for: - How agentic analytics spans data prep to insight - What’s new across Databricks analytics tools - How Genie and Claude deliver agentic insights - How to build end-to-end analytics workflows without BI seats https://lnkd.in/gihYJqwg

Agent Bricks Knowledge Assistant is now Generally Available! You can now deploy a fully managed AI agent grounded in your own documents in minutes and get accurate, cited answers you can trust. Powered by Databricks AI Research, Knowledge Assistant delivers higher-quality results than traditional RAG, with continuous upgrades, built-in evaluation, and a scalable inference API that improves answer quality over time without requiring teams to rebuild or redeploy their agent. https://lnkd.in/gxkyRNAC

Introducing the 2026 State of AI Agents: a new report that examines enterprise AI trends based on usage data from 20,000+ global organizations. Get answers to questions like: ✔️ What are the most common AI use cases? ✔️ What are companies getting AI into production doing differently? ✔️ How are AI agents driving database transformation? Download the report to explore the data: https://lnkd.in/gx6Qt7SD