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Algorithmia MLOps


Algorithmia MLOps

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Product Overview.

Algorithmia is MLOps

85% of machine learning models never make it to production. Their MLOps platform gets your models into production and operating at peak performance, so you get real business results. Algorithmia Enterprise manages all stages of the production ML lifecycle within existing operational processes—so you can deliver more models, faster while protecting your business.

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About the Company.

They’re building the future of machine learning infrastructure

Their founders

Diego Oppenheimer

Diego Oppenheimer is co-founder and CEO of Algorithmia. Previously, he designed, managed, and shipped some of Microsoft’s most used data analysis products including Excel, Power Pivot, SQL Server, and Power BI. Diego holds a Bachelor’s degree in Information Systems and a Masters degree in Business Intelligence and Data Analytics from Carnegie Mellon University.

Kenny Daniel

Kenny Daniel is co-founder and CTO of Algorithmia, where he brings his combination of industry and academic experience to shape the direction and development of the Algorithmia enterprise MLOps platform. Previously, he worked in the industry building deep learning and image-based recognition systems. Kenny is active in AI/ML communities and is a frequent speaker and contributor to industry groups and MLOps organizations. He holds degrees from Carnegie Mellon University and the University of Southern California, where he studied Artificial Intelligence and Mechanism Design.

Other Products.

Algorithmia Teams: Your high-performing team doesn’t have time to build or manage its own ML infrastructure—nor should it have to. Algorithmia’s machine learning operations platform manages all stages of the production ML lifecycle within existing operational processes, so you can quickly ramp your ML capabilities without losing focus on what you do best: driving innovation.

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