In anticipation of his upcoming conference presentation, Deep Learning in Cloud Based Applications at Predictive Analytics World Chicago, June 20-23, 2016, we asked Tanay Chowdhury, Associate Data Scientist at Zurich North America, 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: They predict different things from predicting risk to hire a contractor, predict crop yield, to how well a software is performing given its telemetry data.
Q: How does predictive analytics deliver value at your organization – what is one specific way in which it actively drives decisions or operations?
A: It helps immensely in building better, customer oriented software’s. The decision to include new feature in an existing piece of software basing on user experience in related features is one such instance.
Q: Can you describe a quantitative result, such as the predictive lift of your model or the ROI of an analytics initiative?
A: My predictive model to predict crop yield in economic perspective helped save the organization approximately 20 million per year compared to the existing model, as the new model was better considering weather variables.
Q: What surprising discovery or insight have you unearthed in your data?
A: Neural network is better in predicting huge fluctuation in output compared to Random Forrest or GBM, and necessarily in such cases ensembling is of little help.
Q: Sneak preview: Please tell us a take-away that you will provide during your talk at Predictive Analytics World.
A: It will give emphasis on current state of operation on cloud based deep learning implementation challenges and different outlooks related to that.
Don’t miss Tanay’s conference presentation, Deep Learning in Cloud Based Applications on Tuesday, June 21, 2016 from 4:20 to 4:40 pm at Predictive Analytics World Chicago. Click here to register to attend. USE CODE PATIMES16 for 15% off current prices (excludes workshops).
By: Eric Siegel, Founder, Predictive Analytics World
Eric Siegel is the founder of Predictive Analytics World (www.pawcon.com) — the leading cross-vendor conference series consisting of 10 annual events in New York, Chicago, San Francisco, Washington DC, London, and Berlin — and the author of the award-winning book, Predictive Analytics: The Power to Predict Who Will Click, Buy, Lie, or Die – Revised and Updated Edition, (Wiley, 2016).