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Topnotch Keynotes at PAW Healthcare, and 3 other Predictive Analytics Worlds in Vegas


Join us in Las Vegas, June 3-7, 2018 and be there to witness these industry heavyweights share their knowledge in can't miss keynote sessions. Register by April 27 to save hundreds with current regular rates.



Predictive Analytics World for Healthcare - Can't Miss Keynotes at PAW Healthcare in Las Vegas

Industry Heavyweights to Keynote PAW Healthcare

Plus 3 other PAWs in Las Vegas – June 3-7, 2018

Don't miss the opportunity to witness keynote sessions by industry heavyweights at the upcoming Predictive Analytics World for Healthcare conference in Las Vegas. The PAW Healthcare program will feature sessions and case studies across Healthcare Business Operations and Clinical applications so you can withness how predictive analytics is employed at leading enterprises and resulting in improved outcomes, lower costs, and higher patient satisfaction.

Check out these can't miss keynotes this June in Las Vegas:

Applied Deep Learning: Self-Driving Cars and Fake News Detection
Michael Tamir, Uber
Applied deep learning has fast become a standard tool for many industry machine learning applications. New advances in neural network techniques have opened the doors to solving problems at scale that were out of reach until recently. Because of these advances, applications such as in image recognition for self-driving cars, medical image classification, text translation, and fake news detection are both tractable and often the industry standard. In this keynote, Mike Tamir, who heads the data science teams at Uber ATG—the self-driving cars division—reveals how two key application areas of deep learning signal the broad importance of this emerging technology.

The Greatest Science
John Elder, Elder Research
Data science, if judged as a separate science, exceeds its sisters in truth, breadth, and utility. DS finds truth better than any other science; the crisis in replicability of results in the sciences today is largely due to bad data analysis, performed by amateurs. As for breadth, a data scientist can contribute mightily to a new field with only minor cooperation from a domain expert, whereas the reverse is not so easy. And for utility, data science can fit empirical behavior to provide a useful model where good theory doesn’t yet exist. That is, it can predict “what” is likely even when “why” is beyond reach.

But only if we do it right! The most vital data scientist skill is recognizing analytic hazards. With that, we become indispensable.

Transforming the Health & Life Sciences Ecosystem Through Advanced Analytics
Jason Burke, UNC Health Care System
A modern health enterprise where business and clinical decisions are powered by advanced analytics stands in stark contrast to the existing status quo across health and life sciences today. Existing approaches to informatics — based in descriptive views of limited data sources — are incapable of supporting the sophisticated insights needed to optimize the tradeoffs between health outcomes and costs, and between standardized medical treatment plans and more personalized care practices. As discussed in the book Health Analytics: Gaining the Insights to Transform Health Care (Wiley, 2013), the health industry’s analytical lens must shift from the retrospective, presumptive, and population-oriented practices and policies commonly used today towards collaborative, data-driven, predictive, patient-centered, and real-time engagement-oriented processes. Insight-driven health requires integrated perspectives across health outcomes, financial management, risk management, performance management, and behavioral medicine. But the transition requires new business competencies, technical capabilities, and strong leadership.


Join us in Las Vegas, June 3-7, 2018 and be there to witness these industry heavyweights share their knowledge in can't miss keynote sessions. Register by April 27 to save hundreds with current regular rates.

In 2018, there will be only ONE PAW in the U.S. – Mega-PAW – with five (5) parallel events amounting to seven (7) tracks: PAW Business, PAW Financial, PAW Healthcare, PAW Manufacturing, and Deep Learning World.


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