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Machine Learning
Introducing Applied Machine Learning Prototypes
Applied Machine Learning Prototypes (AMPs) are open source projects that will fundamentally change the way data scientists build, deploy, and monitor ML models. These fully-developed prototypes are built around common industry use cases — like Churn Prediction Monitoring, Anomaly Detection, and more — and can be customized to give you significant head start. Available in Cloudera Machine Learning, AMPs are tested, trusted, and research backed by Fast Forward Labs.
Beyond Hyped: Iguazio Named in 8 Gartner Hype Cycles for 2022
We’re so proud to share that Iguazio has been named a sample vendor in eight Gartner Hype Cycles in 2022: Iguazio was mentioned in the following categories: MLOps, Logical Feature Store, Adaptive ML, Data-Centric AI, AI Engineering, AI TRiSM, Operational AI Systems, ModelOps, AI Engineering in HCLS and Continuous Intelligence. We are delighted to have been mentioned alongside global industry leaders like AWS, IBM, Microsoft, Google, Databricks and Dataiku.
MLOps Bay Area Summit: From AutoML to AutoMLOps
AutoMLOps means automating engineering tasks so that your code is automatically ready for production. In this session, Yaron outlined the challenges, describe open-source tools available for Auto-MLOps, and more!