Databricks

What a night at Texas A&M University’s #TAMUDatathon! Students learned Databricks in under an hour and spent the night creating projects like semantic search engines, AI-powered safety apps, chatbot integrations, and more. Many teams pushed the limits of Free Edition and kept everything running inside Databricks from start to finish. Great work from the students! https://lnkd.in/gZ3vmv6p

Learn to build a full-stack AI application directly inside your Databricks environment without data duplication or external tools. This tutorial shows how to create a knowledge-testing app using Lakebase, Databricks Apps, and AI-assisted development in your IDE, all within a secure and connected environment. It also covers the 4-step Context Engineering workflow for productive AI coding 👇 https://lnkd.in/gD8nej2S

Machine learning is evolving fast, and so are the ways teams are putting it to work. Explore real-world examples — like preventing stockouts, scaling geospatial analysis, optimizing production, advancing drug discovery, and detecting fraud — all with ready-to-use code and notebooks: https://lnkd.in/ghbp_FHs

Data intelligence transforms security from a reactive stance to a proactive one. Instead of siloed, static logs, security data becomes the foundation for AI-driven defense. In our new eBook, you’ll learn how to: • Optimize security operations at scale with Agent Bricks • Empower teams with self-service intelligence and analytics • Unify all enterprise data for stronger defense Explore what modern security can look like: https://lnkd.in/gF7ViyXN

Car shopping data is rich but fragmented. Teams at Edmunds needed a way to turn their vast lakehouse into something more intelligent and connected. Their answer is Edmunds Mind, an AI-native, multi-agent ecosystem built on Databricks. By unifying data and automating expert workflows, Edmunds has moved from static dashboards to real-time, intelligent automation. Specialized agents like DataDave now deliver 95% analytic accuracy, driving faster insights, smarter pricing, and more personalized experiences for car buyers: https://lnkd.in/gQAWy_PR

“What we believe is having a platform like data intelligence on Databricks will give us that flexibility, that modular architecture that we think of where the best-of-breed capabilities can be plugged in as they continue to evolve.” Victor D'Souza of Applied Materials shares how the world’s leading semiconductor and display solutions provider is harnessing data + AI to fuel innovation, efficiency, and growth. By uniting vast, diverse datasets, Applied Materials empowers teams to work smarter, faster, and more creatively

AI is moving fast, and the organizations leading the way share one thing in common: a strong data strategy. New research from MIT Technology Review reveals how CIOs, CTOs, and other technical leaders are turning trusted data, strong governance and unified platforms into measurable impact. With 65% of enterprises already deploying GenAI and more than half doubling down on analytics and governance, the findings reveal how top organizations are scaling AI with confidence: https://lnkd.in/d9KY8_wn

How does a global technology leader like HP Industrial Print turn complex data into a competitive advantage? By modernizing on Databricks SQL to power faster pipelines, governed data access, and real-time insights across its global provider network. With Databricks SQL, HP now onboards partners in hours, shares live data securely, and scales analytics with ease. Read the full story: https://lnkd.in/gvY2K3ZZ

Databricks CEO Ali Ghodsi shared that while the industry is fixated on superintelligence, building systems to outsmart the world's brightest minds isn't what companies actually need. Organizations want to build AI agents to support and automate everyday tasks – and we already have everything we need to do that today. Business Insider has the full story: https://lnkd.in/gMMUirK4

Most teams can prototype an agent, but scaling one you can trust is the real challenge. The latest Agent Bricks updates focus on the pillars that make production possible: accuracy, governance, and openness. New capabilities now allow teams to: • Evaluate agent behavior with MLflow • Govern every model and MCP server through a unified layer • Extract structured data from PDFs, tables, and figures at scale See how these upgrades unlock real production agents: https://lnkd.in/gC6_NxFh