Can’t-Miss Keynotes at PAW Financial, 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 Financial conference in Las Vegas, Jun 3-7.

Predictive Analytics World for Financial Services - Can't-Miss Keynotes at PAW Financial Las Vegas

Industry Heavyweights to Keynote PAW Financial

Register by April 27 to save hundreds with current regular rates

Don't miss the opportunity to witness keynote sessions by industry heavyweights at the upcoming Predictive Analytics World for Financial conference in Las Vegas. PAW Financial is the leading cross-vendor event covering the deployment of machine learning and predictive analytics for financial services. 

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

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.

Machine Learning and Analytics in the Financial Services Industry
Radha KuchibhotlaState Street
Machine Learning is gaining significant steam in many industries – especially financial services, where the adoption rate has been very high. Robotic and Intelligent Process Automation have been used extensively and have reached a maturity in operations and finance areas such as Risk, Compliance, Anti-Money Laundering and Know Your Customer (AML/KYC), Fraud Detection and Prevention, Loan Processing and Approvals and Governance. Financial services organizations currently are using AI surveillance tools to thwart financial crime, while others deployed machine learning for tax planning. Wealth Management leaders can now offer automated investing advice across multiple channels, and some insurers now use automated underwriting tools in their decision-making process. In this keynote presentation, State Street Vice President Radha Kuchibhotla will survey this wide range of industry movement and highlight the most important facets.

Machine Learning in Financial Services: How to Get It Done
Francisco AzeredoNorthern Trust
In this keynote, Northern Trust Analytics VP Dr. Francisco Azeredo will provide an overview on robotics, machine learning, and cognitive computing in the context of operation and process optimization. He will further discuss the benefits and challenges around implementing and maintaining machine learning-based systems.

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.

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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