Subject archive for "leaders-at-work"


Defining Metrics to Drive Machine Learning Model Adoption & Value
By David Bloch12 min read


Why models fail to deliver value and what you can do about it.
Building models requires a lot of time and effort. Data scientists can spend weeks just trying to find, capture and transform data into decent features for models, not to mention many cycles of training, tuning, and tweaking models so they’re performant.
By David Bloch9 min read

Evaluating Ray: Distributed Python for Massive Scalability
Dean Wampler provides a distilled overview of Ray, an open source system for scaling Python systems from single machines to large clusters. If you are interested in additional insights, register for the upcoming Ray Summit.
By Dean Wampler14 min read

Announcement: Domino is fully Kubernetes native
Last week we announced that Domino is now fully Kubernetes native.
By Nick Elprin2 min read
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