San Francisco • Chicago • New York City
Berlin • Washington DC • London
Delivering on the promise of data science

All level tracks Track 1 sessions are for All Levels
Track 2 sessions are Expert/Practitioner Level


Agenda Overview – San Francisco – March 29-April 2, 2015
Pre-Conference Workshop: Sunday, March 29, 2015
Full-day Workshop
Uplift Models: Optimizing the
Impact of Your Marketing

Kim Larsen, Stitch Fix
Room: Foothill E
Three Hour Evening Workshop
R Bootcamp: For Newcomers to R
Max Kuhn, Pfizer
Room: Foothill E

Pre-Conference Workshops: Monday, March 30, 2015
Full-day Workshop
R for Predictive Modeling: A Hands-On Introduction
Max Kuhn, Pfizer
Room: Foothill G
Full-day Workshop
Big Data: Proven Methods You Need to Extract Big Value All level tracks
Marc Smith, Connected Action Consulting Group
Room: Nob Hill C/D
Full-day Workshop
Advanced Methods Hands-on: Predictive Modeling Techniques
Dean Abbott, Abbott Analytics
Sponsored by: Dell
Room: Foothill E

Day 1: Tuesday, March 31, 2015
(PAW Workforce and TAW run in parallel on this day - dual registration required)
8:00-8:45am Registration & Networking Breakfast
Room: Grand Assembly
8:45-8:50am Conference Chair Welcome
Eric Siegel, Predictive Analytics World
Room: Golden Gate A
8:50-9:40am
Keynote• Room: Golden Gate A
Case Study: Smarter Remarketer
The Revolution in Retail Customer Intelligence
Dean Abbott, Smarter Remarketer
9:40-10:00am Diamond Sponsor Presentation • Room: Golden Gate A
New Challenges: From Predictive to Prescriptive to Automated Analytics
Thomas Hill, Dell Statistica Software
Dell
10:00-10:30am Exhibits & Morning Coffee Break
Room: Salon 8/9
  Track 1: All Levels
Moderator: Philip O'Brien, Paychex
Room: Salon 4-6
Track 2: Expert/Practitioners
Moderator: Leanne Bateman, Brandeis Univ
Room: Golden Gate A
10:30-11:15am Sales Analytics Methods; Marketing Applications
Case Study: PaychexAll level tracks
Shaping Sales Strategy with
Predictive Analytics

Philip O'Brien, Paychex
Data Driven Customer
Segmentation Methods

Jim Porzak, DS4CI.org
11:20-11:40am Sales Analytics Social Data
Case Study: RingCentralAll level tracks
Going Beyond BI: How RingCentral Uses Predictive Analytics to Drive Revenue Growth
Bill Dolby, RingCentral
Think Link: Connecting to the Power of Social Networks with no
Programing with NodeXL

Marc Smith, Social Media Research Foundation
11:45am-12:05pm Maritime Vessel Safety
Case Study: RightShipAll level tracks
The Impact of Predictive Analytics on Maritime Safety and Efficiency
Bryan Guenther, RightShip
12:05-1:10pm Lunch in the Exhibit Hall
Room: Salon 8/9
Lunch & Learn • Room: Golden Gate A
Driving Unified Customer Experience Insights and Impact: A Case Study Presentation with Lenovo
Ashish Braganza, Lenovo
Anees Merchant, Blueocean Market Intelligence
Dell
1:10-1:55pm
Keynote • Room: Golden Gate A
UPS Analytics The Road to Optimization
Jack Levis, UPS
1:55-2:15pm Diamond Sponsor Presentation • Room: Golden Gate A
Leveraging Best Practices with Oracle Advanced Analytics

Charles Berger, Oracle
Oracle
2:15-2:35pm Diamond Sponsor Presentation • Room: Golden Gate A
Next Generation Customer Insights from Multichannel:
A Case Study in the Use of Machine Learning and NLP

Mark Eduljee, Microsoft Corp.
Ashwin Mittal, Blueocean Market Intelligence
BlueOcean
  Track 1: All Levels
Moderator: James Taylor, Decision Management Solutions
Room: Salon 4-6
Track 2: Expert/Practitioners
Moderator: Marc Smith, Connected Action Consulting Group
Room: Golden Gate A
2:40-3:00pm Analytics Project Management Best Practices
Case Study: University of MarylandAll level tracks
Decision Modeling for Predictive Analytic Projects
James Taylor, Decision Management Solutions
Steve Knode, UMUC Chief Information Officer program
Q&A: Ask Dean and Steven Anything (about Best Practices)
Dean Abbott, Smarter Remarketer
Steven Ramirez, Beyond the Arc
3:05-3:25pm Analytics applications
Data Alchemy, Mythology and the Quest for the Perpetual Data MachineAll level tracks
Andreas Weigend, Social Data Lab & Gam Dias, Social Data Lab
3:25-3:55pm Exhibits & Afternoon Break
Room: Salon 8/9
3:55-4:15pm Marketing Analytics & Internal Marketing of Analytics Uplift Modeling
Case Study: Duke EnergyAll level tracks
It's Not a Black Box! Explaining Predictive Models to the Masses
Sarah Holder, Duke Energy

Case Study: Harte Hanks
Uplift Modeling Versus Traditional Response Modeling - Which One is Right for You?
David Schey, Digitas
4:20-4:40pm Analytics for Project Management
Case Study: State Street Corp.All level tracks
How Can Predictive Analytics Help Avoid $1.2 Million In IT Project Development Costs?
Scott Lancaster, State Street Corp.
4:45-5:30pm Predictive Resource Allocation Uplift Modeling
Case Study: CiscoAll level tracks
Integrating Predictive Models within a Rules Engine for Resource Allocation
Aaron Lanzen, Cisco
Response Modeling is the Wrong Modeling: Maximize Impact with Uplift Modeling
Kim Larsen, Stitch Fix
5:30-7:00pm Networking Reception
Room: Salon 8/9
7:00-10:00pm Bay Area useR Group Meeting
Room: Salon 4-6
Bay Area SAS Users Group Meeting
Room: Golden Gate A

Go to Top of Page

Day 2: Wednesday, April 1, 2015
(PAW Workforce and TAW run in parallel on this day - dual registration required)

(The Predictive Analytics Times Executive Breakfast also runs in parallel on this day)
8:00-8:45am Registration
Room: Grand Assembly
Networking Breakfast
Room: Salon 8/9
8:45-8:50am Opening and Welcome
Room: Golden Gate A
8:50-9:40am Special Plenary Session • Room: Golden Gate A
Top Five Technical Tricks to Try when Trapped
Dr. John Elder, Elder Research
9:40-10:00am Sponsor Presentation • Room: Golden Gate A
Five Things that you Need to do to Increase the Efficiency of Predictive Models
Vivek Desikan, LatentView
LatentView
  Track 1: All Levels
Moderator: Richard Boire, Boire Filler Group
Room: Salon 4-6
Track 2: Expert/Practitioners
Moderator: Brandon Purcell, Beyond the Arc
Room: Golden Gate A
10:00-10:20am Fraud Detection; Analytics in Gaming Healthcare Applications
Case Study: ActivisionAll level tracks
Cheating Detection in Call of Duty
Josh Hemann, Activision
Case Study: New Directions
Behavioral Health

Predicting Undiagnosed Substance Abuse
Kristopher Thodosoff & Fred Grunwald, New Directions Behavioral Health
10:25-10:45am Small Business Applications
Case Study: A small pizza businessAll level tracks
Pizza Analytics & Optimization
Mohamad Khatib, Nielsen
10:45-11:15am Exhibits & Morning Coffee Break
Room: Salon 8/9
11:15-11:35am Public Health / Food Safety TV Ad Targeting
Case Study: Chicago Department
of Public Health
All level tracks

Transforming Food Inspections Using Predictive Analytics
Jay Bhatt, Chicago Department of Public Health
Case Study: Visible World
TV Audience Targeting through
Predictive Analytics

Bob Bress, Visible World
11:40am-12:00pm Educating Analytics Practitioners
Case Study: Brandeis UniversityAll level tracks
Analytics in Academia: Making Sure the Rubber Meets the Road in the Real World
Leanne Bateman, Brandeis University
12:00-1:15pm Lunch in the Exhibit Hall
Room: Salon 8/9
1:15-2:00pm Expert Panel • Room: Golden Gate A
Education and Training Options for Predictive Analytics
Moderator: Eric Siegel, Predictive Analytics World
Panelists:
Dave Dimas, The University of California, Irvine
Shawn Rogers, Dell Software
Jack Brinson, Oracle
2:00-2:15pm Vendor Elevator Pitches • Room: Golden Gate A
   
  INSURANCE
2:15-3:00pm
Keynote • Room: Golden Gate A
Establishing Value: the "Making Impact Through Analytics" Framework
Bin Mu, MetLife
3:00-3:30pm Exhibits & Afternoon Break
Room: Salon 8/9
  Track 1: All Levels - INSURANCE
Moderator: Steven Ramirez, Beyond the Arc
Room: Salon 4-6
Track 2: Expert/Practitioners
Moderator: Brandon Purcell, Beyond the Arc
Room: Golden Gate A
3:30-3:50pm Insurance; Unique Data Assets Supply Chain Management; Methods
Case Study: TransUnion All level tracks
What Unique Data Assets Reveal about Auto Insurance Shopping and Consumers
John Ittner, TransUnion
Case Study: 7-Eleven
Converting Deep Dive Analytics to Structured Cadence for Optimizing Logistics Priorities
Ron Jayaraman, 7-Eleven
3:55-4:15pm Insurance; Sales Forecasting Advertising Analytics
Case Study: The Co-operators
Insurance Co.
All level tracks
Sales and Revenue Forecasting through Predictive Analytics
Dominic Fortin, Co-operators
Case Study: Spongecell
Drowning in Data: Predictive Analytics in a 24/7 World
Byron Ellis, Spongecell
4:15-4:35pm Insurance; Predictive Claims Management Advanced Methods
Case Study: EsuranceAll level tracks
Predictive Claims Management: Identifying the Optimal Repair or Loss Channel

John Haller, CCC Information Services
Donald Finley, Esurance
Efficient Text Classification
with Neural Nets

Michael Tamir, Galvanize
Daniel Hansen, Personagraph
4:40pm-5:00pm Insurance; Loss Prediction
Predicting Extreme Behavior to Improve the Rating Structure for Travel InsuranceAll level tracks
Richard Boire, Boire Filler Group

Go to Top of Page

Post-Conference Workshops: Thursday, April 2, 2015
Full-day Workshop
The Best and the Worst of Predictive Analytics:
Predictive Modeling Methods and
Common Data Mining Mistakes

Dr. John Elder, Elder Research, Inc.
Room: Nob Hill A/B
Full-day Workshop
Supercharging Prediction:
Hands-On with
Ensemble Models

Dean Abbott, Abbott Analytics
Sponsored by: Angoss
Room: Nob Hill C/D
Full-day Workshop
Text Analytics:
From Getting Started to Successful Applications

Tom Reamy, Program Chair, Text Analytics World, KAPS Group. LLC
Room: Salon 10-11

Go to Top of Page

© 2016 Predictive Analytics World | Privacy
Produced by Prediction Impact, Inc. and Rising Media, Inc.

Predictive Analytics Company           Predictive Analytics Event Producer