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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.
Kythera Labs Awarded 2026 Databricks ISV Innovation Built-On Partner of the Year at Data + AI Summit
Databricks Data + AI Summit - Kythera Labs, a data technology leader that enables higher fidelity in healthcare data for Health Provider and Life Sciences organizations, is honored to announce its recognition as the 2026 Databricks ISV Innovation Built-On Partner of the Year.
Speaking to reporters, Ghodsi said Databricks is working with local partners in India, including Reliance, as enterprises and government organisations seek sovereign AI and cloud infrastructure.
At Data + AI Summit, Databricks CEO Ali Ghodsi unveiled LTAP, a new architecture that collapses the 40-year unification problem of OLTP and OLAP databases.
New agentic data access capabilities and compliance tooling will enable joint customers to safely deploy autonomous AI agents across Databricks without exposing sensitive data or overwhelming IT teams.
Databricks enhances its AI platform with the AI agent Genie One, which is intended to make company data usable thanks to the new context layer Ontology.
Big data company Databricks Inc. is getting into the agentic artificial intelligence coworker game with the launch of a new tool called Genie One, aimed at helping business teams orchestrate workflows and automate work-related tasks.
Databricks is pitching a fix for what it sees as the growing operations mess in enterprise AI. With the launch of Genie ZeroOps, unveiled at its Data + AI Summit, the company is targeting a problem many data teams know too well: it’s no longer building pipelines and models that hurts, it’s keeping them running.
Databricks is seeing higher growth as AI agents assist with data analysis, but all that activity is significantly increasing costs.
Shanku Niyogi of Databricks walks through the architecture behind Lakebase, LTAP and Lakehouse//RT – and renames an industry workaround in a relatable way that acknowledges the pain points experienced by data engineers.
