BIG DATA

This new era of artificial intelligence is all about getting the most value out of data, and Databricks Inc. is at the center of that development.

Following competitor Snowflake Inc.’s annual summit last week, Databricks will be unveiling its roadmap for 2026 and beyond. With AI becoming the enterprise norm, the question is whether major players such as Databricks will be able to help customers scale up their AI workflows effectively.

“New insights from theCUBE Research indicate that enterprises deploying AI-powered development workflows are delivering software 27% faster on average than peers that remain heavily manual,” said Paul Nashawaty, principal analyst for theCUBE Research. “As organizations move from experimentation to operational scale, events such as Data + AI Summit have become critical venues for understanding how data architectures must evolve to support AI-native software engineering.”

The Databricks Data + AI Summit 2026 event will feature interviews with Databricks leaders and partners. Tune in to hear experts discuss how Databricks’ lakehouse architecture and acquisition of Mosaic AI are shaping the future of AI engineering. (* Disclosure below.)

Ninety-two percent of organizations now leverage AI in at least one phase of software delivery, according to theCUBE Research, but only 34% report having mature governance, observability and data management practices in place. This creates an opportunity for platforms such as Databricks that can unify a company’s data, AI and analytics, enabling customers to fully harness their data.

“The winners in enterprise AI won’t be determined by who has the largest model,” said Rob Strechay, principal analyst at theCUBE Research. “They’ll be determined by who can deliver the right context to the right agent at the right time. Databricks has an opportunity to show that the future data platform is not just a repository for data; it’s the foundation that enables enterprises to move from token consumers to token producers and generate measurable ROAI from AI initiatives.”

The agentic AI wave is well on its way, and that means organizations want multiple vendors with a focus on governance and open formats. Whoever can control the context layer for the entire AI stack will have the keys to the kingdom, research suggests, and that puts eyes on Databricks, according to theCUBE Research analyst Sam Weston.

“With 92% of organizations now integrating AI into at least one stage of their software delivery lifecycle — up from 71% in early 2024 — the urgency behind events like Data + AI Summit has never been greater,” she said.

Don’t miss theCUBE’s coverage of the Data + AI Summit, June 16. Plus, you can watch theCUBE’s exclusive content on-demand after the live event.

We offer you various ways to watch theCUBE’s coverage of the Data + AI Summit, including theCUBE’s dedicated website and YouTube channel. You can also get all the coverage from this year’s events on SiliconANGLE.

SiliconANGLE’s “theCUBE Pod” is available on Apple Podcasts, Spotify and YouTube, which you can enjoy while on the go. During each podcast, SiliconANGLE’s John Furrier and Dave Vellante unpack the biggest trends in enterprise tech — from AI and cloud to regulation and workplace culture — with exclusive context and analysis.

SiliconANGLE also produces our weekly “Breaking Analysis” program, where Dave Vellante examines the top stories in enterprise tech, combining insights from theCUBE with spending data from Enterprise Technology Research, available on Apple Podcasts, Spotify and YouTube.

During theCUBE’s coverage of the Data + AI Summit, don’t miss insights from Databricks leaders, partners and enterprise AI experts as they discuss lakehouse architecture, open formats, Mosaic AI and the next phase of governed, production-ready AI.