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A Guide to Innovative Retail Talks at Spark + AI Summit 2019

April 17, 2019 by Navin Albert in
The retail industry has been leading the pack in harnessing the power of big data and AI to drive customer engagement. By analyzing...

A Guide to Healthcare and Life Sciences Talks at Spark + AI Summit 2019

April 15, 2019 by Michael Ortega in
Data and AI are ushering in a new era of precision medicine. The scale of the cloud, combined with advancements in machine learning...

A Guide to Financial Services Talks at Spark + AI Summit 2019

April 12, 2019 by Michael Ortega in
The financial services industry is transforming rapidly. Customers today demand more personalized experiences, better returns on their investments and improved protection against fraud...

Managing the Complete Machine Learning Lifecycle: On-Demand Webinar now available!

April 4, 2019 by Andy Konwinski in
On March 7th, our team hosted a live webinar— Managing the Complete Machine Learning Lifecycle —with Andy Konwinski, Co-Founder and VP of Product...

Announcing Databricks Runtime 5.3

April 4, 2019 by Leif Brown in
We are proud to announce the release of Databricks Runtime 5.3, which includes several new features and improvements, including: GA of Delta Time...

Databricks Runtime 5.3 ML Now Generally Available

April 3, 2019 by Yifan Cao and Hanyu Cui in
We are excited to announce the general availability (GA) of Databricks Runtime for Machine Learning, as part of the release of Databricks Runtime...

A Guide to Keynotes at Spark + AI Summit 2019

April 2, 2019 by Michael Ortega in
Over the past several years, Spark + AI Summit has become the premier event for data scientists, engineers, and Apache Spark TM enthusiasts...

Introducing Brickchain: Planet-scale Unified Analytics

April 1, 2019 by Bart Samwel and Reynold Xin in
Today we are excited to announce Brickchain , the next generation technology for zettabyte-scale analytics, by harnessing all the compute power on the...

Improving Data Management and Analytics in the Federal Government

March 29, 2019 by Michael Ortega in
From Static Data Warehouse to Scalable Insights and AI On-Demand for the Public Sector Government agencies today are dealing with a wider variety...

MLflow v0.9.0 Features SQL Backend, Projects in Docker, and Customization in Python Models

March 28, 2019 by Sue Ann Hong and Jules Damji in
Read Rise of the Data Lakehouse to explore why lakehouses are the data architecture of the future with the father of the data...