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San Francisco Professional Events List
Predictive Analytics World for Business San Francisco 2017
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Predictive Analytics World for Business, May 14-18, 2017, in San Francisco, is the leading event for predictive analytics professionals, managers and commercial practitioners, covering today's commercial deployment of predictive analytics, across industries and across software vendors. The conference delivers case studies, expertise and resources to achieve three objectives:
- The best of data science: Deliver on the promise of data science
- 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 SF is set to be one of the largest cross-vendor predictive analytics events ever. The program is packed with the top predictive analytics experts, practitioners, authors and business thought leaders, including keynote addresses from: Anne Robinson, Executive Director, Strategy and Forward Supply Chain at Verizon; and Haile Owusu, Chief Data Scientist at Mashable; plus a special plenary session from industry heavy-weight, Dr. John Elder, CEO & Founder of Elder Research.
Case Studies - How Leading Enterprises Do it: Predictive Analytics World focuses on concrete examples of deployed predictive analytics. Hear from the horse's mouth precisely how Fortune 500 analytics competitors and other top practitioners deploy predictive modeling, and what kind of business impact it delivers.
PAW's SF 2017 program is the richest and most diverse yet, featuring over 30 sessions across 3 tracks: 1) "All Levels,” 2) "Expert/Practitioner," and 3) “Churn modeling (day 1) and marketing applications (day 2)” -- to show you how predictive analytics is being used by Alberta Blue Cross, Becker College, Bizfi Business Financing, Capital One, Cisco, City of Jersey City, Comcast, Dow, Gallagher Bassett, Google, GoPro, Leitersburg Cinemas (MD), LinkedIn, Macy’s, Mashable, Microsoft, Paychex, Printfleet, Sears Holdings, 7Geese, SmarterHQ, Starbucks, StarShop, The Co-Operators General Insurance Company, Visible World (A Comcast Company), Verizon, Wells Fargo, a leading gaming company and more.
PAW San Francisco's agenda will cover hot topics and advanced methods such as Acquisition funnel for higher education, advertising, analytics project management, analytics software, best practices, B2B, churn modeling, deep learning, external data, financial service applications, fraud detection, gaming analytics, insurance, law enforcement applications, lifetime value, market mix modeling, marketing segmentation, model interpretation, online marketing and personalization, open source demo product design analytics, retail analytics, retention with email marketing, Seasonality and other contextual factors, sourcing labeled data, sports analytics, supply chain, text analytics and thought leadership.
TWO OTHER CO-LOCATED ANALYTICS EVENTS:
1. PAW Workforce - cross-registration options available.
2. Predictive Analytics Times Executive Breakfast - Join Eric Siegel, founder of Predictive Analytics World, for an eye-opening executive breakfast — witness an accessible, concrete overview of how predictive analytics drives actionable value.
WORKSHOPS: PAW also features several full-day pre- and post-conference workshops that complement the core conference program.
Attend PAW and access keynotes, sessions, workshops and expert panels delivered by industry heavyweights and senior analytics executives from some of the world’s biggest brands. The event also features a robust exposition, live demos, and unparalleled opportunities to network with your peers.
PAW is the only conference of its kind, delivering vendor-neutral sessions across a wide range of verticals, including banking, insurance & financial services, education, government, healthcare, travel & hospitality, power & energy, non-profits, and retail. In addition to the industry-specific content, PAW SF is designed to help analytics professionals from every vertical understand and act upon the common core predictive modeling technologies, similar project overhead and data requirements, and common process challenges and analytical hurdles they face.
ASSESS AND SELECT THE RIGHT TECHNOLOGIES. Meet the industry’s top solutions providers, discover new solutions, and compare vendor offerings. The Predictive Analytics World Expo Hall is best place to research and identify new vendor/partner prospects.
COLLEAGUES. Mingle, network and hang out with the industry’s best and brightest. Exchange experiences over lunch, coffee breaks and the conference reception connecting with those professionals who face the same challenges as you.
GET STARTED. If you're new to predictive analytics, kicking off a new initiative, or exploring new ways to position it at your organization, there's no better place to get your bearings than Predictive Analytics World. See what other companies are doing, experience vendor demos, participate in discussions with the experts, network with your colleagues, and weigh your options!
Three Ways to Save:
1. Early Bird Registration by January 27, 2017 and save over $600.
2. Take $150 off the Early Bird or the Advance Two Day Pass registration fee with this posting's promotional discount code: ALL150.
3. Each additional attendee from the same company registered at the same time receives an extra $200 off the Two Day Pass.
For inquiries e-mail firstname.lastname@example.org or call 717-798-3495.
ALL PREDICTIVE ANALYTICS WORLD EVENTS:
Predictive Analytics World for Manufacturing Dusseldorf – Feb 2-3, 2017
Predictive Analytics World for Business San Francisco - May 14-18, 2017
Predictive Analytics World for Business San Francisco Workshops – May 14-18, 2017
Predictive Analytics World for Workforce – May 14-18, 2017
Predictive Analytics Times Executive Breakfast San Francisco
Predictive Analytics World for Business Chicago – June 19-22, 2017
Predictive Analytics World for Business Chicago Workshops – June 19-22, 2017
Predictive Analytics World for Manufacturing – June 19-22, 2017
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