Wise Practitioner – Predictive Analytics Interview Series: Leslie Barrett at Bloomberg LP

In anticipation of her upcoming conference presentation, Crowd-Sourcing and Quality: How To Get The Best Out of Hand-Tagged Training Data for Machine Learning Models at Predictive Analytics World for Business New York, Oct 29-Nov 2, 2017, we asked Leslie Barrett, Search Products at Bloomberg L.P., a few questions about her work in predictive analytics. Q: In your work with predictive analytics, what behavior or outcome do your models predict? A: Our work with predictive analytics involves mostly text-based supervised learning models. Q: How does predictive analytics deliver value at your organization – what is one specific way in which it actively drives decisions or operations? A: We have developed sophisticated models that predict prices for illiquid and infrequently traded commodities – our Liquidity Assessment Tool (LQA). These models enable institutional investors to estimate fair prices before they make a trade. Q: Can you describe a quantitative result, such as the predictive lift of your model or the ROI of an analytics initiative? A: After we developed new deep learning techniques for table recognition and segmentation, we improved the precision of our automated extraction pipeline to above 90%. Q: What surprising discovery or insight have you unearthed in your data? A:…


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