Can’t-Miss Keynotes at PAW Manufacturing, plus 3 other PAWs in Vegas – Save ’til April 27

Don't miss the opportunity to witness keynote sessions by industry heavyweights at the upcoming Predictive Analytics World for Manufacturing conference in Las Vegas. Save hundreds by registering by April 27.

Predictive Analytics World for Manufacturing - Uber, Caterpillar, & More to Keynote PAW Manufacturing

Industry Heavyweights to Keynote PAW Healthcare

Save hundreds by registering by April 27

Don't miss the opportunity to witness keynote sessions by industry heavyweights at the upcoming Predictive Analytics World for Manufacturing conference in Las Vegas. PAW Manufacturing focuses on real-world examples of deployed predictive analytics. 

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

Applied Deep Learning: Self-Driving Cars and Fake News Detection
Michael TamirUber
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 ElderElder 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.

Digging into Future Value through Predictive Analytics
Morgan VawterCaterpillar
What does a 90-year old company have to do with predictive analytics? Quite frankly, everything. Through predictive analytics services and solutions, Caterpillar is increasing the value of its equipment and commitment to its customers by helping them predict potential outcomes and make better business decisions. Morgan Vawter, Caterpillar’s Chief Analytics Director, will share how this legacy company is combining domain expertise with vast amounts of data and advanced mathematical techniques to help its customers build a better world through better fuel productivity, increased safety, planned downtime and other predictable efficiencies.

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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