Matei Zaharia, co-founder and CTO of Databricks, has been named the 2026 recipient of the ACM Prize in Computing, recognizing his contributions to large-scale ...
When Zaharia started work on Spark around 2010, analyzing "big data" generally meant using MapReduce, the Java-based ...
Matei Zaharia has won the top honor from the Association for Computing Machinery. Now he's working on AI for research and ...
With an overflowing war chest from its $5 billion raise that closed last month (not to mention billions in revenue), Databricks is acquiring. The company, best known for its cloud data analytics ...
The Department of Homeland Security is preparing a blanket purchase agreement to ensure the continued operation of its data lakehouse environment and intelligence platform. Sign up for the Potomac ...
STARKVILLE, Miss.—Mississippi State University’s James Worth Bagley College of Engineering is naming Adam Smith, a seasoned higher education leader with more than 13 years of academic experience, as ...
Enterprise clients can now leverage Growth Protocol's reasoning engine directly within Databricks via an SDK, without moving any data. Growth Protocol is an enterprise reasoning platform that uses ...
The launch of Genie Code, analysts say, signals Databricks’ growing ambition to turn its lakehouse platform into the environment where enterprise AI systems build, run, and manage data workflows.
SAN FRANCISCO, March 11, 2026 /PRNewswire/ -- Databricks, the Data and AI company, today launched Genie Code, an autonomous AI agent that fundamentally changes how data work gets done. Genie Code can ...
Databricks Inc. today introduced Genie Code, an artificial intelligence agent designed to automate complex data engineering and analytics tasks. The move extends the rapid evolution of agents from ...
Genie Code turns data engineering, data science and analytics ideas into autonomous production systems SAN FRANCISCO, March 11, 2026 /PRNewswire/ -- Databricks, the Data and AI company, today launched ...
Most enterprise RAG pipelines are optimized for one search behavior. They fail silently on the others. A model trained to synthesize cross-document reports handles constraint-driven entity search ...
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