For most professional software developers, using application lifecycle management (ALM) is a given. Data scientists, many of whom do not have a software development background, often have not used ...

MLOps plays a pivotal role in bridging the gap between data science and IT operations by enabling seamless collaboration, version control, and model lifecycle automation. The integration of MLOps into ...

Once machine learning models make it to production, they still need updates and monitoring for drift. A team to manage ML operations makes good business sense As hard as it is for data scientists to ...

New York, Jan. 25, 2023 (GLOBE NEWSWIRE) -- Reportlinker.com announces the release of the report 'Global Machine Learning Model Operationalization Management Market Size, Share & Industry Trends ...

LONDON & SAN FRANCISCO--(BUSINESS WIRE)--Delivering on its vision that ML engineering should be just as easy, fast and safe as modern software engineering when using DevOps techniques, Dotscience, the ...

eSpeaks host Corey Noles sits down with Qualcomm's Craig Tellalian to explore a workplace computing transformation: the rise of AI-ready PCs. Matt Hillary, VP of Security and CISO at Drata, details ...

Machine learning, one of the driving components of artificial intelligence, has emerged as a leading factor in digital business transformation. As enterprises seek to harness the oceans of data and ...

CARY, N.C., Jan. 4, 2023 /PRNewswire/ -- SAS has been named a leader in the inaugural IDC MarketScape: Worldwide Machine Learning Operations Platforms 2022 Vendor Assessment (doc #US48325822, December ...

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