Conference Description:

In 2018, there will be only one Predictive Analytics World in the US: Mega-PAW, June 5-6, 2018 in Las Vegas. The largest PAW ever, this premier event will feature five (5) conferences at once: PAW Business, PAW Financial, PAW Healthcare, PAW Manufacturing - plus the inaugural Deep Learning World.

Predictive Analytics World is the leading cross-vendor event covering the commercial deployment of machine learning and predictive analytics. It is THE business event for predictive analytics professionals, managers, and practitioners, covering today's commercial deployment of predictive analytics and machine learning, across industries and across software vendors. The conference delivers case studies, expertise and resources to achieve four objectives:

- The Best of Data Science: Deliver on the promise of machine learning
- Bigger Wins: Strengthen the business impact delivered by predictive analytics
- Broader Capabilities: Establish new opportunities with predictive analytics
- Big Data: Leverage bigger data for prediction and drive bigger value

PAW Las Vegas is packed with the top predictive analytics experts, practitioners, authors and business thought leaders, including keynote speakers: Michael Tamir, Head of Data Science, Advanced Technologies Group at Uber; Dr. John Elder, CEO And Founder of Elder Research, Inc.; Lauren Haynes, Associate Director at Center for Data Science and Public Policy at The University of Chicago; Radha Kuchibhotla, Vice President at State Street; Francisco Azeredo, Vice President, Specialist, Analytics at Northern Trust; plus a special plenary session from Karl Rexer covering Rexer Analytics' data scientist survey results.

Registration by Feb 23, 2018 and save over $600.00

Take $150 off the Early Bird or the Advance Two Day Pass registration fee with this posting's promotional discount code: EVVNT150.

Save an additional $200 on the 2 Day Pass for each additional attendee from the same company.

Prices:
2 Day Pass: USD 1945
5 Day Pass: USD 4100

Time: 8:00 am to 5:00 pm