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searching for MLOps 8 found (18 total)

alternate case: mLOps

Data Version Control (software) (1,903 words) [view diff] exact match in snippet view article

Ivan Shcheklein, an engineer and entrepreneur, founded Iterative.ai, an MLOps company that continued the development of DVC. Besides DVC, Iterative.ai
Bain Capital Ventures (825 words) [view diff] exact match in snippet view article find links to article
2023-05-22. Wiggers, Kyle (2022-07-12). "Tecton raises $100M, proving that the MLOps market is still hot". TechCrunch. Retrieved 2023-05-22. "UK fintech GoCardless
Govindappa Venkataswamy (2,511 words) [view diff] case mismatch in snippet view article find links to article
including administrative work, diagnostics, nursing and counseling. The MLOPs are primarily women who are high-school graduates recruited from surrounding
Databricks (2,097 words) [view diff] exact match in snippet view article find links to article
Ventures Open Source Index". Two Sigma Ventures. Retrieved April 8, 2021. "MLOps Tools - Ranking. OSS Insight". OSS Insight. Retrieved April 3, 2024. "Databricks
Yellowbrick Data (643 words) [view diff] exact match in snippet view article find links to article
idea". The Register. Retrieved 14 October 2019. ""Interviews from the 2019 MLOps Conference"". Inside Analysis. Retrieved 14 December 2020. Alex, Woodie
Deepset (1,129 words) [view diff] exact match in snippet view article find links to article
Retrieved August 22, 2023. "Deepset secures $30M to expand its LLM-focused MLOps offerings". TechCrunch. 9 August 2023. Retrieved August 22, 2023. "Deepset
Andrew Ng (3,497 words) [view diff] exact match in snippet view article find links to article
million to back new startups". VentureBeat. Retrieved February 19, 2018. "MLOps platform Landing AI raises $57M to help manufacturers adopt computer vision"
Almaz Capital (2,915 words) [view diff] exact match in snippet view article find links to article
to analyze and improve player performance); Neptune (Metadata store for MLOps, built for research and production teams that run a lot of experiments);