Introducing Databricks Runtime 5.1 for Machine Learning
Last week, we released Databricks Runtime 5.1 Beta for Machine Learning. As part of our commitment to provide developers with the latest deep...
A Guide to AI, Machine Learning, and Deep Learning Talks at Spark + AI 2019
To a good degree, this back-of-the-envelope flowchart, by Karen Hao of MIT Technology Review , charts to elucidate what constitutes the use of...
CIO Survey: Top 3 Challenges Adopting AI and How to Overcome Them
We recently hosted the webinar — CIO Survey: Enterprise Challenges to AI and How to Overcome Them — featuring Jen Garofalo, Research Director...
Is your AI software vendor taking security shortcuts?
This is the final part of our blog series on security available here . In this blog, I will be talking about our...
Databricks Shows off AWS Competencies at AWS re:Invent
Powering innovation on AWS in life sciences, public sector, machine learning, and big data analytics. Databricks, founded by the original creators of Apache...
Introducing Databricks Runtime 5.0 for Machine Learning
Six months ago we introduced the Databricks Runtime for Machine Learning with the goal of making machine learning performant and easy on the...
Preliminary Agenda Announced for Spark + AI Summit 2019
As part of the organizing committee and program chairs for this summit, we are delighted to share two achievements with you. First, we...
Are you ready to scale your Data and AI initiatives? How will you scale your security?
This is Blog #3 in a series of blog posts about Databricks security. My colleagues David Cook (our CISO) and David Meyer (SVP...
Announcing Databricks Runtime 5.0
We’re excited to announce the general availability of Databricks Runtime 5.0. Included in this release is Spark 2.4 . This release offers substantial...
MongoDB Atlas: Connector for Apache Spark now Officially Certified for Azure Databricks
This is a guest blog from our partners at MongoDB Bryan Reinero and Dana Groce We are happy to announce that the MongoDB...