SAN FRANCISCO--(BUSINESS WIRE)--Iterative, the MLOps company dedicated to streamlining the workflow of data scientists and Machine Learning (ML) engineers, today launched Machine Learning Engineering ...
Market is projected to grow from US$ 1.02 billion in 2024 to US$ 13 billion by 2033, with a CAGR of 32.66%. Key growth ...
SUNNYVALE, Calif.--(BUSINESS WIRE)--ParallelM, the leader in MLOps, today released a new version of MCenter that includes REST-based serving using Kubernetes to create a no-code, autoscaling ...
Vangalapat led the development of a comprehensive MLOps infrastructure at Broadridge, building CI/CD pipelines, automated ...
Zehra Cataltepe is the CEO of TAZI.AI an adaptive, explainable Machine Learning platform. She has more than 100 papers and patents on ML. While many believe that growth comes from acquiring new ...
The ability to anticipate what comes next has long been a competitive advantage -- one that's increasingly within reach for developers and organizations alike, thanks to modern cloud-based machine ...
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We’ve gotten pretty good at building machine learning models. From legacy platforms like SAS to modern MPP databases and Hadoop clusters, if you want to train up regression or classification models, ...
MLOps platform Iterative, which announced a $20 million Series A round almost exactly a year ago, today launched MLEM, an open source Git-based machine learning model management and deployment tool.
Development and implementation of a digital remote symptom monitoring program (RESPONSe) to support patients undergoing IV chemotherapy at a community ambulatory cancer clinic in Richmond, BC, Canada.
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