Critical Capabilities for Enterprise Data Science

NewImageIn the article “46 Critical Capabilities of a Data Science Driven Intelligence Platform” an original set of critical enterprise capabilities was identified. In enterprise architecture language, capabilities are “the ability to perform or achieve certain actions or outcomes through a set of controllable and measurable faculties, features, functions, processes, or services.”(1) In essence, they describe the what of the activity, but not necessarily the how.While individually effective, the set was nevertheless incomplete. Below is an update where several new capabilities have been added and other relocated. Given my emphasis on deep learning, composed on cognitive and intelligence process, I have added genetic and evolutionary programming as a set of essential capabilities. 

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The Implementation architecture has also be updated to reflect the application of Spark and SparkR.

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Categories: Data Science, Deep Learning, Enterprise Intelligence Architecture, Practice & Methodology, Strategy

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