Only at Predictive Analytics World for Business (April 3-7 in San Francisco) will you unlock the potential of predictive analytics to improve numerous aspects of business. How can this happen? You’ll be learning from the best of the best.
Check out the keynote speakers line-up and be sure to use KDnuggets $150 discount code
KDN150 when you
sign up for PAW Business San Fran.
Keynote Speakers Line-Up
Eric Siegel is the Conference Founder of Predictive Analytics World, executive editor of “The Predictive Analytics Times,” author of Predictive Analytics: The Power to Predict Who Will Click, Buy, Lie, or Die (revised and updated January 6, 2016), and a former Columbia University professor. He is a leader in the predictive analytics field.
His presentation is called “Weird Science: How to Know Your Predictive Discover Is Not BS.” During his keynote, he will discuss the challenge that as data gets bigger, so does a common pitfall in the application of standard stats: Testing many predictors means taking many small risks of being fooled by randomness, adding up to one big risk. He’ll provide guidance on tapping data's potential without drawing false conclusions.
Patrick Surry, Chief Data Scientist at Hopper, analyzes flight data to help consumers make smarter travel choices. Patrick is recognized as a travel expert and he frequently provides data-driven insight on the travel industry and trends. His research has been featured in many publications and is often on broadcast stations.
Surry's keynote presentation, Buy or Wait? Consumer-friendly Airfare Prediction or How the Bunny Saves You Money, will cover how Hopper has used predictive analytics to help consumers buy plane tickets at the best time possible. He’ll discuss how they have overcome the unpredictable pricing fluctuations in the airfare marketplace to reduce airfare travel fees from 10 to 40 percent. Gain more insight into Patrick -
view his article here.
Kim Larsen, Director of Client Algorithms at Stitch Fix, has experience working in the software and consulting industries, as well as e-commerce and financial services. Throughout his career, he has managed a wide array of data mining and analytical problems, including price optimization, media mix optimization, demand forecasting, customer segmentation, & predictive modeling.
In his keynote, Keys to Growing a World Class Data Science Team - Some Observations from Stitch Fix, Kim will reveal his insight on how his Stitch Fix data science team impressively grew from 5 to 50 people. He will also talk about maintaining high team morale and engagement, achieving high productivity without traditional project management systems and he’ll shed light on some of the projects his team is working on.
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