Artificial intelligence is becoming more intuitive, interactive and embedded, not just in systems, but in the way companies build, think and create. From live coding and autonomous agents to unified governance and automation, Databricks Inc. is moving AI closer to the application layer and aligning it with developer intent.TheCUBE Research’s John Furrier and George Gilbert break down the keynote analysis during Databricks’ Data + AI Summit.“You sort of tell the AI engineer, the software developer, an agent, what you want to do,” said George Gilbert, principal analyst for theCUBE Research. “In the past, all it did was generate code

Databricks Inc.’s vision for an enterprise world powered by artificial intelligence is based on vibes — or rather, vibe coding.At Databricks’ annual conference this week, the company announced a series of data and AI products on its open analytics platform, including the serverless Lakebase database, Agent Bricks for automating agent building, and tools that enable coding with AI through natural language prompts, also called vibe coding.The show floor at Databricks’ Data + AI Summit.“The apps themselves are getting much better,” said George Gilbert (pictured, right), principal analyst for theCUBE Research

Ali Ghodsi, co-founder and chief executive of Databricks Inc., believes that data and artificial intelligence estates are fragmented, costly and much too complex. Today, he explained how his company’s flurry of announcements will address these issues and more.“It’s actually really hard still to succeed with data and AI,” Ghodsi (pictured) said during his keynote remarks today at the company’s Data+AI Summit in San Francisco. “It’s a complexity nightmare of high costs and proprietary lock-in. It’s slowing down the organizations. We think this is the biggest problem.”Part of the solution will involve AI agents and an ability to simplify their development for enterprise use