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Organizations can improve performance and reduce costs by replacing the stock Databricks Runtime for Machine Learning libraries with versions optimized by Intel. Here’s how to get started. Getting the ...

Today to kick off Spark Summit, Databricks announced a Serverless Platform for Apache Spark — welcome news for developers looking to reduce time spent on cluster management. The move to simplify ...

Big-data company Databricks Inc. is hoping to empower so-called citizen data scientists to create their own machine learning models with new “Automated Machine Learning” capabilities in its Unified ...

Big-data analytics company Databricks Inc. is sharpening its focus on artificial intelligence workloads, announcing today a major update to its Unified Analytics Platform that should help to unlock ...

SAN FRANCISCO--(BUSINESS WIRE)--Databricks, the leader in unified analytics and founded by the original creators of Apache Spark™, today announced support for the newly released Apache Spark 2.4.0 ...

Databricks continues to expand its portfolio of big data software around the Databricks Lakehouse Platform – all designed to unify all data, analytics and AI workloads. Databricks has launched a ...

Databricks, the Silicon Valley-based startup focused on commercializing Apache Spark, has developed MLflow, an open source toolkit for data scientists to manage the lifecycle of machine learning ...

The ATTOM MCP Server is a centralized AI-native access and integration layer built on the Model Context Protocol (MCP). It allows large language models (LLMs) and AI systems to securely retrieve ...

Collaborative platform delivers a streamlined way for organizations to standardize the full data and machine learning lifecycle at any scale with powerful AutoML capabilities and new ML Feature Store ...