ML model creation, or the deployment aspects of the machine learning cycle, Databricks says. “Many ML platforms fall short because they ignore a key challenge in machine learning: they assume that ...

today announced Model Registry, a new capability within MLflow, an open-source platform for the machine learning (ML) lifecycle created by Databricks. The new component enables a comprehensive ...

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 ...

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.

2023 – Data management company Databricks today announced Databricks Model Serving designed to provide simplified production machine learning (ML) natively within the Databricks Lakehouse Platform.

Agent Bricks uses technology developed by MosaicML’s research division to optimize the agent development process and help ...

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 ...