Capital One Machine Learning Lead on Lessons at Scale
Machine learning has moved from prototype to production across a wide range of business units at financial services giant Capital One due in part to a centralized approach to evaluating and rolling out new projects.
This is no easy task given the scale and scope of the enterprise but according to Zachary Hanif who is director of Capitol One’s machine learning “center for excellence”, the trick is to define use cases early that touch as broad of a base within the larger organization as possible and build outwards. This is encapsulated in the philosophy Hanif spearheads—locating machine learning talent in …
Capital One Machine Learning Lead on Lessons at Scale was written by Nicole Hemsoth at The Next Platform.
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