DataRobot Blog

As the number of notebooks and notebook users grow, you need a platform that enables your team to effectively scale and manage the team’s work. Security and governance then becomes more important as you need to make sure that sensitive code, such as proprietary models, and data are only accessible to the appropriate users. Unlike open source notebooks, DataRobot’s cloud-based notebook solution, Zepl, comes with out-of-the-box enterprise grade security.

DataRobot will be integrated into the McLaren Racing infrastructure, delivering AI-powered predictions and insights to maximize performance and optimize simulations.

DataRobot’s No-Code AI Apps makes planning and preparing for the future of your business easily and quickly achievable. Learn more.

DataRobot AI Cloud 8.0 brings over 40 new and enhanced capabilities to market, further enriching one of the most trusted and widely deployed AI platforms in the world.

Through our Snowflake and DataRobot partnership, we are offering the world’s most advanced, fully cloud-native healthcare transformation platform to tackle some of the most complex challenges ever faced by health and care systems.

DataRobot and Snowflake Jointly Unleash Human and Machine Intelligence Across the Industrial Enterprise Landscape. Read more in the blog post.

Model risk refers to the inherent risks associated with running machine learning models in production. Read this post to learn how to manage model risk.

Every data scientist’s workflow requires visualizing data. Learn how to add interactive components to Zepl Notebooks using JavaScript.

DataRobot is home to a treasure trove of Data Scientists. We’ve started a series called  “Data Scientist Spotlight” as a way to meet the people behind the technology and introduce you to our great team. Introducing Alex Tsourmas. Alex works as a Customer-Facing Data Scientist within DataRobot’s Go-To-Market team, as the company continues to build its premier AI Cloud platform for organizations across the globe.