Operationalizing Data Science

Carlos Bossy
BI Platform Architecture, Development & Administration
The challenge of developing a predictive model is the secret sauce that data science practitioners strive to achieve. While sophisticated predictive models can be game changers that give you a competitive edge, they must be nurtured and closely watched to ensure they perform as expected. This session shows attendees how to build a framework and develop a data model that handles prediction logging, prediction performance management, and analysis. A case study will show predictions can degrade and ultimately fail, further emphasizing the importance of tracking their performance.
Basic understanding of predictive analytics and the predictive modeling process.

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