Data is the new fuel. The potential for machine learning and deep learning practitioners to make a breakthrough and drive positive outcomes is unprecedented. But how to take advantage of the myriad of ...

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 ...

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 ...

The AI agent Genie Code is intended to autonomously handle complex tasks in data engineering and analytics – from pipeline creation to production monitoring.

Databricks Inc. today introduced Genie Code, an artificial intelligence agent designed to automate complex data engineering and analytics tasks. The move extends the rapid evolution of agents from ...

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, announced the launch of Databricks Model Serving to provide simplified production machine learning (ML) natively within the Databricks Lakehouse Platform. Model ...

The launch of Genie Code, analysts say, signals Databricks’ growing ambition to turn its lakehouse platform into the environment where enterprise AI systems build, run, and manage data workflows.

On Monday, Databricks, a ten-year-old software maker based in San Francisco, announced it would acquire MosaicML, a three-year-old San Francisco-based startup focused on taking AI beyond the lab, for ...

JFrog Ltd. the Liquid Software company and creators of the JFrog Software Supply Chain Platform, is offering a new machine learning (ML) lifecycle integration between JFrog Artifactory and MLflow, an ...

Working with a certified implementation partner is a risk mitigation strategy that ensures the Lakehouse is not only deployed but also optimized for scalability, security, and cost efficiency from day ...