A new esteemed colleague of mine, Matthew Pietrzykowski, who does predictive analytics at GE was recently interviewed by Predictive Analytics World. This does a nice job of answering the question: What do you do? Below is the intro and the first question. See also the PA World Blog.
" .... In anticipation of his upcoming conference co- presentation, Advanced Analytics and the Corporate Audit Function at Predictive Analytics World San Francisco, April 3-7, 2016, we asked Matthew Pietrzykowski, Senior Data Scientist at General Electric, a few questions about his work in predictive analytics. ....
Q: In your work with predictive analytics, what behavior or outcome do your models predict?
A: The predictive models that tend to be generated in GE’s Corporate Audit Function are heavily focused on classification outcomes, forecasting and optimization. The types of models used range from logistic regression to random forest classification models. Typically, the models are built to help auditors assess whether there is evidence to support an auditable event or find the optimal or reasonable outcome. These models tend to be of mixed data types and some are augmented with the results of text mining short form narrative fields. .... " Read the complete article ...
Tuesday, December 22, 2015
Interview with a GE Predictive Analytics Practitioner
Labels:
Analytics,
Data Scientist,
Evidence,
GE,
predictive
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