Databricks is buying Tecton, a machine learning startup backed by Sequoia Capital and Kleiner Perkins, as part of its plan to ...

Tecton’s technology and talent could help enhance Databricks’ flagship product, Agent Bricks, which enables enterprises to build and automate workflows with AI agents ...

Tecton provides software to aid companies in analysing and deploying data at scale and low latency. The financial terms of ...

In March 2016, Databricks created and open sourced TensorFrames, a software library that enables the popular deep learning framework, TensorFlow to run on Spark. The enhancements announced today ...

Databricks Machine Learning also provides a new ML-focused start page that surfaces the new ML capabilities and resources, with quick access to Experiments, the Feature Store, and the Model Registry.

Databricks launched an open-source Data Sharing initiative and a new machine learning platform.

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.

Databricks said enterprises have resorted to using a variety of deep learning frameworks, including Tensorflow, Keras and Horovod, to help speed things up, only to find themselves lumbered with ...

Databricks, the leader in unified analytics and founded by the original creators of Apache Spark™, today announced the keynote lineup for the newly ex ...

Databricks Machine Learning provides each member of the data team with the right tools in one collaborative environment. Users can switch between Data Science / Engineering, SQL Analytics, and the new ...