Databricks, the Silicon Valley-based startup focused on commercializing Apache Spark, has developed MLflow, an open source toolkit for data scientists to manage the lifecycle of machine learning ...

The data science workflow which, to this day, is chock full of ad hoc tasks in siloed development environments. While things are slowly changing, it's all too common for data scientists to tinker on ...

In a pre-briefing with ZDNet earlier in the week, Zaharia provided an update on MLflow's momentum, details on the new features and reasoning for moving management of the open source project from ...

Databricks Inc. is joining the generative AI parade today with a query engine that lets users ask questions and get contextually relevant answers in natural language. LakehouseIQ is integrated with ...

Databricks Inc. today announced a series of updates to its flagship artificial intelligence product, Agent Bricks, aimed at improving governance, accuracy and model flexibility for enterprise AI ...

Databricks' data-centric approach to AI makes it easier to build, deploy and manage large language model (LLM) applications, enabling customers to accelerate their generative AI journey The demand for ...

Value stream management involves people in the organization to examine workflows and other processes to ensure they are deriving the maximum value from their efforts while eliminating waste — of ...

Want smarter insights in your inbox? Sign up for our weekly newsletters to get only what matters to enterprise AI, data, and security leaders. Subscribe Now Databricks is launching open source project ...

As part of the Data + AI Summit, Databricks announced a number of new features, including the launch of Agent Bricks, an automated method for creating customized AI agents for companies, and the ...

Databricks’ Mosaic AI Research team has added a new framework, MemAlign, to MLflow, its managed machine learning and generative AI lifecycle development service. MemAlign is designed to help ...