One example of this was apparent today with the latest releases from Databricks Inc. The company unveiled a new architecture – Lake Transactional/Analytical Processing – that enables AI agents to access operational and analytics workloads on a primary copy of data that resides in a data lake.

Genie Ontology aims to unify business definitions across systems, but analysts say data quality and governance will make or break adoption.

Successful AI adoption depends less on models and technology than on workforce transformation, process redesign and organizational change.

The company added more details about AI Runtime, a serverless graphics processing unit for enterprise deep learning that has been in preview for the past two months. Databricks also announced Genie Code for ML and Genie Zero Ops for ML, an agent for running machine learning systems.

Databricks Data + AI Summit – Capital One Software, the enterprise B2B software business of Capital One, today announced Databolt Connect, a purpose-built, lightweight application that facilitates secure,

Within the analytics domain, the Genie tools enable natural language querying of data, and save time building datasets for different purposes within the bank. The embrace of Genie is a natural evolution for the bank, since its enterprise data platform Ada largely runs on a Databricks stack.

Databricks Data + AI Summit -- MinIO, the data foundation for enterprise AI and analytics, today announced it has been recognized as the 2026 Databricks ISV Storage Partner of the Year. Presented at the annual Data + AI Summit,

Go inside Databricks and how CEO Ali Ghodsi is accelerating growth as he scales, its startup acquisition spree, race to own agentic AI—and its rivalry with Snowflake.