DataRobot has announced the release of DataRobot AI Cloud, a new unified platform that hastens the ability for customers to deliver AI production. The solution brings together disparate data and users through collaboration and continuous optimization. Built as a multi-cloud platform, DataRobot AI Cloud enables organizations to run on any combination of public clouds, data centers, or at the edge, with governance included.
DataRobot offers an enterprise AI platform that automates the end-to-end process for building, deploying, and maintaining AI. The product is powered by open-source algorithms and can be leveraged on-prem, in the cloud or as a fully-managed AI service. DataRobot includes three independent but fully integrated tools (Automated Machine Learning, Automated Time Series, MLOps), and each can be deployed in multiple ways to match business needs and IT requirements.
This launch includes new capabilities to manage AI at scale. It features pre-built use case solutions accelerators so users can get started quickly, as well as new capabilities to automate and scale predictions with Decision Intelligence Flows. New tools for code-first monitoring aim to optimize model performance after deployment and ensure fair and unbiased models in production. The product also touts a strategic ecosystem of partners.
In a media statement on the news, DataRobot CEO said: “Artificial intelligence will reshape every industry, every business service, every customer interaction. DataRobot AI Cloud captures insights and learnings from years of technological innovation and partnering closely with our customers, enabling users of all skill sets to deliver more models, faster, and drive unprecedented business value with AI.”
Read Delivering the Next Generation of AI with DataRobot AI Cloud or Introducing the DataRobot AI Cloud: A Closer Look in the company’s blog to learn more.
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