Big-data analytics company Databricks Inc. is sharpening its focus on artificial intelligence workloads, announcing today a major update to its Unified Analytics Platform that should help to unlock ...
Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Databricks is giving users a set of new tools for big data processing ...
Big-data company Databricks Inc. is hoping to empower so-called citizen data scientists to create their own machine learning models with new “Automated Machine Learning” capabilities in its Unified ...
SAN FRANCISCO--(BUSINESS WIRE)--Databricks, the leader in unified analytics and founded by the original creators of Apache Spark™, today announced support for the newly released Apache Spark 2.4.0 ...
Databricks continues to expand its portfolio of big data software around the Databricks Lakehouse Platform – all designed to unify all data, analytics and AI workloads. Databricks has launched a ...
Company Delivers Comprehensive Deep Learning Toolkit for Big Data with GPUs Alongside CPUs Databricks®, the company founded by the creators of the Apache® Spark™ project, today announced the addition ...
Today to kick off Spark Summit, Databricks announced a Serverless Platform for Apache Spark — welcome news for developers looking to reduce time spent on cluster management. The move to simplify ...
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 ...
SAN FRANCISCO--(BUSINESS WIRE)--Databricks, the leader in Unified Analytics and original creators of Apache Spark, today announced that its Unified Analytics Platform now offers automation and ...
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 ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results