Thanks for attending Predictive Analytics World San Francisco 2017,
we can't wait to see you again in 2018.
Even though the conference is over, doesn't mean the networking is. Follow the hashtag #PAWCon to stay connected or check out the Predictive AnalyticsTimes.
Predictive Analytics World for Business, May 14-18, 2017 in San Francisco, is packed with the top predictive analytics experts, practitioners, authors and business thought leaders, including keynote speakers:
Predictive Analytics World for Business 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 machine learning, and the kind of business results they achieve. Click here to view the agenda at a glance.
PAW's San Francisco 2017 program featured over 40 sessions with case studies across 3 tracks: 1) All Audiences, 2) Expert/Practitioner and 3) Churn modeling (day 1) and marketing applications (day 2).
Attend these sessions to witness case studies on how predictive analytics is applied at these leading enterprises:
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.
Join PAW and access the best keynotes, sessions, workshops, vendor exposition, expert panel, networking coffee breaks, reception, networking lunches, brand-name enterprise leaders, and industry heavyweights in the business.
