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Agenda Overview – Manufacturing – June 20-23, 2016
Pre-Conference Workshop: Sunday, June 19, 2016
Three hour Workshop • Room: Salon A2
R Bootcamp: For Newcomers to R
Max Kuhn, Pfizer

Pre-Conference Workshops: Monday, June 20, 2016
Full-day Workshop • Room: Salon A2
R for Predictive Modeling:
A Hands-On Introduction

Max Kuhn, Pfizer
Full-day Workshop • Room: Salon A4
Advanced Methods Hands-on:
Predictive Modeling Techniques

Dean Abbott, Abbott Analytics
Sponsored By:
Full-day Workshop • Room: Salon A5
Hadoop for Predictive Analytics:
Hands-On Lab

James Casaletto, MapR Technologies

Day 1: Tuesday, June 21, 2016
(PAW Business runs in parallel on this day - dual registration required)
All Sessions are in Room: Salon A4
8:00-8:45am Registration & Networking Breakfast
Room: Salon A Pre-function
8:45-8:50am Conference Co-Chairs Welcome
Bala Deshpande, SimaFore and Jon Riley, NCMS
8:50-9:10am Diamond Sponsor Presentation
Connected Data Platforms for Smart Manufacturing
Grant Bodley, Hortonworks
9:10-10:00am
KEYNOTE
Fault Prediction and Failure Detection using Big Data and Predictive Analytics
Bala Deshpande, SimaFore
10:00-10:30am Exhibits & Morning Coffee Break
Room: Salon A Pre-function
  Failure Detection, Fault Prediction, Predictive Maintenance
10:30-11:15am
Case Study: Ford Motor Company
Decision Support for Uncertain Manufacturing Process
Data Using Interval Regression Analysis

Junheung Park, Ford Motor Company
11:20am-12:05pm Failure Detection, Fault Prediction, Predictive Maintenance
Case Study: Applied Research Labs
Using Vehicle Digital Bus Data for Predicting Failure of Line Haul Trucks
Jeffrey Banks, The Pennsylvania State University
12:05-1:30pm Lunch in the Exhibit Hall
Room: Salon A Pre-function
1:30-2:15pm
KEYNOTE
Predictive Analytics and Smart Manufacturing
Dr. Sudarsan Rachuri,Office of Energy Efficiency and Renewable Energy, Department of Energy
2:15-2:35pm Sponsor Presentation
Monetizing the Trillion Dollar Opportunity in Industrial IoT

Ruban Phukan, DataRPM
2:40-3:25pm Smart Manufacturing
Case Study: Elmet Technologies
Improved Statistical Process Control of Mature Manufacturing Processes
Using Multiple Available Data Streams

Dr. Peter Frankwicz, Elmet Technologies
3:25-3:55pm Exhibits & Afternoon Break
Room: Salon A Pre-function
3:55-4:40pm Data Science for Manufacturing
Case Study: The Data Incubator
Data-Driven Hiring of Data Scientists for Manufacturing

Michael Li, The Data Incubator
4:45-5:30pm Data Science in Manufacturing
Case Study: Seagate Technology
Building a Predictive Analytics Organization
Chris Labbe, Managing Technologist
5:30-7:00pm Networking Reception
Room: Salon A Pre-function

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Day 2: Wednesday, June 22, 2016
(PAW Business runs in parallel on this day - dual registration required)
All Sessions are in Room: Salon A4
8:00-9:05am Registration & Networking Breakfast
Room: Salon A Pre-function
9:05-9:10am Conference Welcome
Bala Deshpande, SimaFore and Jon Riley, NCMS
9:10-10:00am
KEYNOTE
Changing the Way we Make Things: The Brilliant Factory
Dr. Matteo Bellucci, GE R&D
10:00-10:45am Big Data in Manufacturing and Supply Chains
My Supply Chain and Customer Service Is A Mess: Using Predictive Analytics,
Big Data and Machine Learning To Fix It

Joseph Brandenburg, Analytics4Retail
10:45-11:15am Exhibits & Morning Coffee Break
Room: Salon A Pre-function
11:15am-12:00pm IoT and Analytics
Manufacturing and the State of Cybersecurity
Rebecca Taylor, The National Center for Manufacturing Sciences
12:00-1:15pm Lunch in the Exhibit Hall
Room: Salon A Pre-function
1:15-2:00pm
KEYNOTE
Internet of Things and the Cybersecurity Challenge
Thomas Bui, The Boeing Company
2:00-2:10pm Lightning Round
Dell  IBM
2:15-3:00pm Analytics in Manufacturing Supply Chains
Predicting Behavior In Chemical Industry Supply Chains
Gary Neights, Elemica
3:00-3:30pm Exhibits & Afternoon Break
Room: Salon A Pre-function
3:30-4:15pm IoT and Industrial Internet
Case study: The Photizo Group
Predictive Analytics - What is 2% Worth?

Edward Crowley, The Photizo Group
4:20-5:05pm Predictive Maintenance
Manufacturing Analytics at Scale: Data Mining and Machine Learning Inside Bosch
Carlos Cunha, Robert Bosch, LLC


Post-Conference Workshop: Thursday, June 23, 2016
Full-day Workshop • Room: Salon A2
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 A4
Supercharging Prediction with Ensemble Models
Dean Abbott, Abbott Analytics

Sponsored By:

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