Why Predictive Analytics World?

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.

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).

PRE-CONFERENCE WORKSHOPS

Sunday, May 14, 2017
Uplift Models: Optimizing the Impact of Your Marketing - Full Day Workshop
Big Data: Proven Methods You Need to Extract Big Value - Full Day Workshop

Monday, May 15, 2017
Hadoop for Predictive Analytics: Hands-On Lab - Full Day Workshop
Supercharging Prediction with Ensemble Models - Full Day Workshop
R Bootcamp: For Newcomers to R- Half Day Workshop
R for Predictive Modeling: A Hands-On Introduction - Half Day Workshop

KEYNOTES

Day 1: Tuesday, May 16, 2017

• The Right Analytics for the Job: Tips and Tricks for Success 
• Fraud Screening for 2/3rds of All Card Transactions: A Consortium and Its Data 

SESSIONS

Day 1: Tuesday, May 16, 2017

• Need a Data Scientist, Try Building a "DataScienceStein"
• When Model Interpretation Matters: Understanding Complex Predictive Models
• Predicting Churn - An Often Not-So-Easy Task
• Using Predictive Analytics to Improve Customer Retention 
• The Role of Decision Modeling in Creating Data Science Excellence
• Automated Retail Analytics - Omni-Channel and at Scale
• 7 Examples of Customer Retention with Predictive Email Marketing
• Identifying Unique Gamer Types Using Predictive Analytics
• Strategic Communication: Building a Bridge From Analytics to Business
• Q&A: Ask Karl and Steven Anything (about Best Practices)
• Retention Modeling in Uncertain Economic Times
• Creating an Industrial Revolution for Analytics
• Semantic Natural Language Understanding with Spark, Machine-Learned Annotators & Deep-Learned Ontologies
• Predicting Customer Churn in a Subscription Business
• Predictive Analytics for Yield Management
• Enhancing the Quality of Predictive Modeling on College Enrollment
• Data Science Hype vs Reality: "Big Data" vs Single Machine Tools
• How Microsoft Predicted Churn of Cloud Customers Using Deep Learning and Explained Predictions in An Interpretable Way

NETWORKING

Day 1: Tuesday, May 16, 2017
8:00am-8:45am: Networking Breakfast
10:00am-10:30am: Exhibits & Morning Coffee Break
12:05pm-1:30pm: Lunch in Exhibit Hall
3:25pm-3:55pm: Exhibits & Afternoon Break
5:30pm-7:00pm: Networking Reception
7:00pm-10:00pm: Bay Area SAS Users Group Meeting

7:15pm: Dinner with Strangers
This is your chance to get out of your comfort zone and prove that you are serious about meeting your peers. Sign up for a Dutch-treat dinner and we’ll tell you at which (very nearby) restaurant to meet for a meal. Get to know your colleagues in a relaxed setting over good food and favorite beverages. You might just meet somebody who can solve that burning issue you’ve been working on or whom you can help with your experience. “This was a little awkward for the first few minutes and then we had a great time!”

KEYNOTES

Day 2: Wednesday, May 17, 2017

• What to Optimize? The Heart of Every Analytics Problem
• The Centrality of a Detailed Understanding of Your Audience
• Women in Predictive Analytics: Opportunities and Challenges Panel

SESSIONS

Day 2: Wednesday, May 17, 2017

• How Predictive Analytics Can Drive Success in Fintech and Banking
• Making Better Products with Predictive Analytics
• Machine Learning Models for Assessing Third Party Signals
• RFM in the 21st Century - It Still Works
• Macy's Advanced Analytics in Customer Centric Strategies
• Predictive Analytics and Data in City Government
• The Quest for Labeled Data: Integrating Human Steps
• Redefining Analytics for Marketing
• NFL Predictive Analytics
• Technical Abstractions for Lasting Analytic Deployment Competency
• Claim Pattern Anomalies - Making a Mole Hill Out of a Mountain
• Omnichannel Measurement and Attribution as a Building Block for In-House Programmatic Solution
• Reducing Wasted Toner - Huge Savings for Service Providers and the Environment
• Discovering Persuasive Language through Observing Customer Behavior
• Finding the Waypoint: A TPA and an Actuary with Predictive Analytics Reinvent Reserving (and it's not boring after all) 
• The What and The How Matter When Talking to Customers - Even More Today

MEET THE PREDICTIVE ANALYTICS WORLD CONFERENCE CHAIR
Eric Siegel, Ph.D., founder of the Predictive Analytics World conference series and executive editor of The Predictive Analytics Times, makes the how and why of predictive analytics understandable and captivating. He is the author of the award-winning Predictive Analytics: The Power to Predict Who Will Click, Buy, Lie, or Die, a former Columbia University professor who used to sing to his students.

Rates increase onsite, register today for best prices!

Conference produced by: Rising Media & Prediction Impact


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