Cortex Labs is Joining Databricks to Accelerate Model Serving and MLOps
As enterprises grow their investments in data platforms, they increasingly want to go beyond using data for internal analytics and start integrating predictions...
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Bringing Lakehouse to the Citizen Data Scientist: Announcing the Acquisition of 8080 Labs
Transforming into a data-driven organization – which means data has permeated into every facet of your company – is critical for driving meaningful...
Introducing Databricks Machine Learning: a Data-native, Collaborative, Full ML Lifecycle Solution
Today, we announced the launch of Databricks Machine Learning , the first enterprise ML solution that is data-native, collaborative, and supports the full...
Databricks Announces the First Feature Store Co-designed with a Data and MLOps Platform
Today, we announced the launch of the Databricks Feature Store , the first of its kind that has been co-designed with Delta Lake...
New Features to Accelerate the Path to Production With the Next Generation Data Science Workspace
Today, at the Data + AI Summit Europe 2020, we shared some exciting updates on the next generation Data Science Workspace - a...
Quickly Deploy, Test, and Manage ML Models as REST Endpoints with MLflow Model Serving on Databricks
MLflow Model Registry now provides turnkey model serving for dashboarding and real-time inference, including code snippets for tests, controls, and automation. MLflow Model...
Announcing Single-Node Clusters on Databricks
Databricks is used by data teams to solve the world's toughest problems. This can involve running large-scale data processing jobs to extract, transform...
Announcing MLflow Model Serving on Databricks
Databricks MLflow Model Serving provides a turnkey solution to host machine learning (ML) models as REST endpoints that are updated automatically, enabling data...
Introducing the Next-Generation Data Science Workspace
At today’s Spark + AI Summit 2020, we unveiled the next generation of the Databricks Data Science Workspace: An open and unified experience...
MLflow Joins the Linux Foundation to Become the Open Standard for Machine Learning Platforms
Watch Spark + AI Summit Keynotes here At today's Spark + AI Summit 2020, we announced that MLflow is becoming a Linux Foundation...
Databricks Extends MLflow Model Registry with Enterprise Features
We are excited to announce new enterprise grade features for the MLflow Model Registry on Databricks. The Model Registry is now enabled by...
Databricks Named A Leader in Gartner Magic Quadrant for Data Science and Machine Learning Platforms
Gartner has released its 2020 Data Science and Machine Learning Platforms Magic Quadrant, and we are excited to announce that Databricks has been...
Introducing the MLflow Model Registry
Watch the announcement and demo At today’s Spark + AI Summit in Amsterdam , we announced the availability of the MLflow Model Registry...
Productionizing Machine Learning: From Deployment to Drift Detection
Try this notebook to reproduce the steps outlined below and watch our on-demand webinar to learn more. In many articles and blogs the...
AutoML on Databricks: Augmenting Data Science from Data Prep to Operationalization
Thousands of data science jobs are going unfilled today as global demand for the talent greatly outstrips supply. Every day, businesses pay the...
Announcing the MLflow 1.1 Release
We’re excited to announce today the release of MLflow 1.1. In this release, we’ve focused on fleshing out the tracking component of MLflow...
What's new with MLflow? On-Demand Webinar and FAQs now available!
On June 6th, our team hosted a live webinar— Managing the Complete Machine Learning Lifecycle: What's new with MLflow —with Clemens Mewald, Director...
Announcing the MLflow 1.0 Release
MLflow is an open source platform to help manage the complete machine learning lifecycle. With MLflow, data scientists can track and share experiments...
Announcing General Availability of Managed MLflow on Databricks
Try this tutorial in Databricks MLflow is an open source platform to help manage the complete machine learning lifecycle. With MLflow, data scientists...