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Domino Data Lab | September 01, 2022
Domino Data Lab, provider of the leading enterprise MLOps platform trusted by over 20% of the Fortune 100, today announced it was named to the Constellation ShortList™ for MLOps in Q3 2022. The technology vendors and service providers included in this program deliver critical transformation initiative requirements for early adopters and fast-follower organizations. The Domino Enterprise MLOps Platform helps professional data science teams improve the speed, quality, and impa...
insidebigdata | October 28, 2018
Domino Data Lab, provider of an open data science platform, announced Domino 3.0 featuring Domino Launchpad, a module designed to help companies maximize the impact of their data science investments by addressing the operational challenges and bottlenecks they face getting models into production. The Last Mile Problem in Data Science. Despite the massive investment in artificial intelligence (AI) and data science, most organizations have been unable to see significant return. A recent BCG and MI...
Big Data Management, Data Science
Domino Data Lab | October 07, 2022
Domino Data Lab, provider of the leading Enterprise MLOps platform trusted by over 20% of the Fortune 100, today announced the availability of Domino 5.3, a major update that improves the time-to-value and impact of data science at scale across any cloud or on-premises infrastructure. The latest platform version introduces a private preview of its Domino Nexus hybrid and multi-cloud capabilities, plus an expanded suite of connectors to simplify and democratize access to critical d...
tdworld.com | January 24, 2020
For many utilities, this world is not far off. For PECO Energy Co., a subsidiary of Exelon Corp., this world is here now as a result of the Exelon Utilities Analytics Academy. This program is aimed at enabling employees to adopt digital skills, such as machine learning, operational analytics, visual storytelling and automated analysis. This ensures the people who are most familiar with the meaning behind the data also can conduct their own analysis, rather than having to rely on a central group ...
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