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 ...

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, 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 ...

Tecton, the enterprise feature store company, is partnering with Databricks, the Data and AI Company, to help organizations build and automate their machine learning (ML) feature pipelines from ...

Databricks is buying Tecton, a machine learning startup backed by Sequoia Capital and Kleiner Perkins, as part of its plan to build out full-scale AI tools for large companies. The deal was confirmed ...

Snowflake and Databricks are surely similar companies. While each positions itself a bit differently, both provide data storage, processing and governance in a cloud context. Both are holding customer ...

JFrog Empowers a Secure AI Journey for Developers, Integrates with Databricks’ MLflow for a Seamless Machine Learning Lifecycle April 25, 2024 By SDxCentral Syndication Have your say ...

Databricks Inc. and Anthropic PBC said today that they have entered a five-year partnership to make Anthropic’s Claude large language models and services available on the Databricks Data Intelligence ...

Talk to any industry insider, and they’ll tell you that the landscape of software testing is undergoing a paradigm shift that’s rendering many existing practices inadequate. The pace of software ...

AI thrives on data but feeding it the right data is harder than it seems. As enterprises scale their AI initiatives, they face the challenge of managing diverse data pipelines, ensuring proximity to ...