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Agenda Overview – San Francisco – May 14-18, 2017

Below is the two-day PAW Workforce conference program -
see also the pre- and post-event training workshops days.

Pre-Conference Workshops: Sunday, May 14, 2017
Full-day WorkshopRoom: Salon 3 & 4
Uplift Models: Optimizing the
Impact of Your Marketing

Kim Larsen, Stitch Fix
Full-day Workshop Room: Salon 5 & 6
Big Data: Proven Methods You
Need to Extract Big Value

Marc Smith, Connected Action Consulting Group

Pre-Conference Workshops: Monday, May 15, 2017
Full-day Workshop
Room: Nob Hill BC
Hadoop for Predictive Analytics: Hands-On Lab
James Casaletto, MapR Technologies
Two and a half hour Workshop
Room: Salon 5 & 6
R Bootcamp: For Newcomers to R
Max Kuhn, RStudio
Full-day Workshop
Room: Salon 3 & 4
Supercharging Prediction with Ensemble Models
Dean Abbott, Abbott Analytics
Full-day Workshop
Room: Salon 5 & 6
R for Predictive Modeling: A Hands-On Introduction
Max Kuhn, RStudio

Day 1: Tuesday, May 16, 2017
(PAW Business runs in parallel on this day - dual registration required)
8:00-8:30am Registration
Room: Grand Assembly
Networking Breakfast
Room: Salon 9
8:30-8:35am Conference Chair WelcomeRoom: Nob Hill BC
Greta Roberts, Talent Analytics, Corp.
8:35-9:20am
KeynoteRoom: Nob Hill BC
Making Predictive Analytics Work in Your Enterprise
Greta Roberts, Talent Analytics, Corp.
9:20-10:10am Plenary SessionRoom: Nob Hill BC
What to Optimize? The Heart of Every Analytics Problem
John Elder Ph.D., Elder Research
10:10-10:40am Exhibits & Morning Coffee BreakRoom: Salon 9
  Track 1 • Business
Room: Nob Hill BC
Track 2 •Technical
Room: Nob Hill D
10:40-11:25am
Yin-Yang: Statistical Modeling to Predict Attrition and Productivity/Output Metrics
Subhadra Dutta, Twitter
Menghan Chen, Twitter
Use Case: Using a data driven approach to identify Information Security risk among Netflix employees
Shankar Vedaraman, Netflix
11:30am-12:15pm
Use Case: How Kforce Is Evolving From Pre-Hire Assessments to Predictive Hiring
Justin Stevens, Kforce
The Hero with a Thousand Faces: Data Science and Storytelling
Nery Castillo-McIntyre, CSAA Insurance Group
12:15-1:45pm Lunch in the Exhibit HallRoom: Salon 9
1:45-2:35pm
KeynoteRoom: Nob Hill BC
How to Use Survival Analytics to Predict Employee Turnover
Pasha Roberts, Talent Analytics, Corp.
  Track 1 • Business
Room: Nob Hill BC
Track 2 •Technical
Room: Nob Hill D
2:40-3:25pm
Use Case: When Predictive Analytics Isn't Enough
How We Got 10X Greater ROI Than We Could with Predictive Models

Burke Powers, PolarityTE
Open Sourced Workforce Analytics: A Live Demonstration of Tools and Techniques for Predictive Modeling
Jason Noriega, Chevron
3:25-3:55pm Exhibits & Afternoon BreakRoom: Salon 9
3:55-4:40pm
Use Case: How CenturyLink Measures How Well Leaders Manage Their Organizations
Emily Pelosi, CenturyLink
Case Study: Provoking Innovation On the Edge of Business with Analytics
Aaron Burciaga, Accenture
4:45-5:30pm
Predicting and Improving Employee Performance
Serena Huang, GE Transportation
Getting the Most from Your Predictive Models: Exploring the Impact of Segmentation on Common Modeling Techniques
Chris Short, Cox Enterprises Inc.
5:30-7:00pm Networking ReceptionRoom: Salon 9
7:15pm Dinner with Strangers

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Day 2: Wednesday, May 17, 2017
(PAW Business runs in parallel on this day - dual registration required)
8:00-8:30am Registration
Room: Grand Assembly
Networking Breakfast
Room: Salon 9
8:30-8:35am Conference Chair Welcome Room: Nob Hill BC
Greta Roberts, Talent Analytics, Corp.
8:35-9:20am
KeynoteRoom: Nob Hill BC
Weird Science: How to Know Your Predictive Discovery Is Not BS
Eric Siegel, Predictive Analytics World
9:20-10:10am Diamond Sponsor Presentation Room: Nob Hill BC
Legal and Ethical Issues when using Predictive Analytics for Talent Acquisition
Eric J. Felsberg, Jackson Lewis P.C.
  Track 1 • Business
Room: Nob Hill BC
Track 2 •Technical
Room: Nob Hill D
10:15-10:35am
Use Case: Enhancing the Quality of Predictive Modeling on College Enrollment
Feyzi Bagirov, Becker College
Case Study: SmarterHQ
When Model Interpretation Matters: Understanding Complex Predictive Models

Dean Abbott, SmarterHQ
10:40-11:00am
Using Analytics in Recruitment to Identify Improvement Opportunities
Sue Lam, Shell
11:00-11:30am Exhibits & Morning Coffee BreakRoom: Salon 9
11:30am-12:15pm
The Pay Equity Revolution: How Advanced Analytics are Helping to Close the Gender Pay Gap in Organizations
Haig Nalbantian, Mercer
Getting the most out of NLP for cover letter ranking, resume screening, interview conversations and more
Ben Taylor, HireVue
12:15-1:25pm Lunch in the Exhibit HallRoom: Salon 9
1:30-2:15pm
Keynote Room: Nob Hill BC
Use Case: How Predictive Models Improve Retail Sales Experience and Performance
Elpida Ormanidou, Chico's FAS
  Track 1 • Business
Room: Nob Hill BC
Track 2 •Technical
Room: Nob Hill D
2:15-3:00pm
Use Case: Changing Talent Management through Predictive Analytics
Kevin Zhan, The Advisory Board
How HR can take a giant leap via Artificial Intelligence
Hai Harari, Intel
3:00-3:30pm Exhibits & Afternoon BreakRoom: Salon 9
  Track 1 • Business
Room: Nob Hill BC
Track 2 •Technical
Room: Nob Hill D
3:30-4:15pm
Use Case: Real World Lessons in Predicting Employee Retention and Engagement
Mike Rosenbaum, Arena
Use Case: Predicting Safety and Performance from Unstructured Data
Ben Taylor, HireVue
4:15-5:00pm
Expert PanelRoom: Nob Hill BC
Politics, Power Tools and Perfect Data
Moderator: Pasha Roberts, Talent Analytics, Corp.
Panelists: Elpida Ormanidou, Chicos
Nery Castillo-McIntyre, CSAA Insurance Group
Ben Taylor, HireVue

Post-Conference Workshops: Thursday, May 18, 2017
Full-day Workshop Room: Salon 3 & 4
The Best and the Worst of Predictive Analytics: Predictive Modeling Methods and Common
Data Mining Mistakes

Dr. John Elder, Elder Research, Inc.
Full-day Workshop Room: Salon 5 & 6
Advanced Methods:
Data Preparation and Modeling Techniques

Dean Abbott, Abbott Analytics

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Program by: Talent Analytics, Corp.

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Produced by Prediction Impact, Inc. and Rising Media, Inc.

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