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.

As that volume of data grows, it will present its own challenges. Genentech’s decades of laboratory and clinical research have produced massive datasets which can be used to train AI models.

Iterative Studio is the collaboration layer for ML engineers and data scientists to track, visualize, and share experiments. Studio enables teams to link code, model, and data changes together in ...

Iterative debuts DataChain for curating and processing unstructured data with AI models - SiliconANGLESiliconANGLE Media is a recognized leader in digital media innovation serving innovative ...

The proliferation of sophisticated AI foundational models opens the door to intelligent curation and data processing. However, the absence of easy solutions to wrangle unstructured data using AI ...

“The Iterative community has long been asking for an online course to learn Iterative’s GitOps approach to solving many of the challenges faced by data scientists and machine learning ...

Citations:Kim, H, Daniel Diermeier, Ming Hsu. 2012. Mining Casual Topics in Text Data: Iterative Topic Modeling with Time Series Feedback. Under review. Mining Casual Topics in Text Data: Iterative ...