dbta

Databricks Model Serving Streamlines Machine Learning Operations for the Lakehouse

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 ...
datanami.com

Databricks Brings ML Serving into the Lakehouse

Databricks customers can now run their machine learning models directly from the vendor’s platform, eliminating the need to manage and maintain separate infrastructure for ML workloads like product ...
Business Wire

Databricks Simplifies Machine Learning Model Management At Scale With MLflow Model Registry

AMSTERDAM & SAN FRANCISCO--(BUSINESS WIRE)--Databricks, the leader in unified data analytics, today announced Model Registry, a new capability within MLflow, an open-source platform for the machine ...
VentureBeat

Databricks makes building real-time ML apps easier with new service

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More San Francisco-headquartered Databricks, which provides a data lakehouse ...
VentureBeat

After Snowflake, Databricks also integrates with Tecton to accelerate enterprise ML projects

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Databricks is getting support for Tecton’s feature store, as an ...
Business Insider

Databricks Unites Data and Machine Learning Teams with Launch of Databricks Machine Learning

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 ...