Databricks, the lakehouse company, is launching Databricks Model Serving, a solution aiming to streamline the management and scaling of production machine learning (ML) within the Databricks Lakehouse ...

Explore how Lokeshkumar Madabathula combines Databricks, real-time anomaly detection, lakehouse architecture, and governed Agentic AI for data reliability.

Data analytics developer Databricks Inc. today announced the general availability of Databricks Model Serving, a serverless real-time inferencing service that deploys real-time machine learning models ...

Databricks announced Genie ZeroOps, an autonomous background agent designed to monitor production data and AI workloads, investigate issues, and suggest fixes that teams can verify before applying.

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 ...

Omar Khawaja argues CISOs should be skilled at talent development, operating models, change management and decision support. The data analytics platform provider has been using ML to drive functions ...

Databricks Inc. opens its Data + AI Summit today with the announcement that it will release the entirety of its Delta Lake storage framework to open-source under the oversight of the Linux Foundation.

Traditional SIEM platforms often underperform due to high costs, inflexible schemas and limited scalability. These barriers make it hard to use advanced analytics, keep historical data and integrate ...