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Agenda Overview – Manufacturing – June 9-10, 2015
Pre-Conference Workshop: Monday, June 8, 2015
Full-day Workshop • Room: Salon A4
R for Predictive Modeling:
A Hands-On Introduction

Max Kuhn, Pfizer
Full-day Workshop Room: Salon A2
Advanced Methods Hands-on:
Predictive Modeling Techniques

Dean Abbott, Abbott Analytics
Sponsored by: Dell
Day 1: Tuesday, June 9, 2015
All Sessions will take place in Room: Salon A4
(PAW Business runs in parallel on this day - dual registration required)
8:00-8:45am Registration & Networking Breakfast
Room: Salon A Pre-function
8:45-8:50am Conference Co-Chairs Welcome
Dr. Bala Deshpande, SimaFore & Jon Riley, National Center for Manufacturing Sciences
8:50-9:10am Diamond Sponsor Presentation
Manufacturing Intelligence: Bringing Together the Shop Floor
and the C-Suite Through Predictive Analytics

John Thompson, Dell Software
Dell Software
9:10-10:00am
KEYNOTE
Predictive Analytics and Big Data in Manufacturing: Future perspective
Bala Deshpande, SimaFore
10:00-10:30am Exhibits & Morning Coffee Break
Room: Salon A Pre-function
Track Sponsored by:
  Predictive Analytics in Manufacturing
10:30-11:15am
Case Study: Archer Daniel Midlands Company
Training Manufacturing Engineers in Analytics
Jim Foster, ADM
11:20am-12:05pm Online Marketing
Case Study: SmarterHQ
The Revolution in Retail Customer Intelligence
Dean Abbott SmarterHQ
12:05-1:30pm Lunch in the Exhibit Hall
Room: Salon A Pre-function
1:30-2:15pm
KEYNOTE
Future Vehicle Technologies
Robert Preston, J.D. Power
2:15-2:35pm Gold Sponsor Presentation
Applying Design Thinking in Predictive Analytics
Prasad Satyavolu, Cognizant Technology Solutions
Cognizant
2:40-3:25pm Failure Detection
Case Study: Bosch
Manufacturing Analytics at Scale: Data Mining and Machine Learning inside Bosch

Jeff Thompson, Bosch
3:25-3:55pm Exhibits & Afternoon Break
Room: Salon A Pre-function
3:55-4:40pm Fault Prediction
Staying Ahead of Failure: Parametric Data and Analytics in High-Tech Manufacturing
Field Cady, ThinkBigAnalytics
4:55-5:30pm Predictive Maintenance
Predicting Automobile Fault Codes Using Aggregated Vehicle Parameter Data
Vishnu Prasad, Soliton Technologies
Bala Deshpande, SimaFore
Mark Goerlich, Automotive Consultant
5:30-7:00pm Networking Reception
Room: Salon A Pre-function

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Day 2: Wednesday, June 10, 2015
All Sessions will take place in Room: Salon A4
(PAW Business runs 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 & Networking Breakfast
Room: Salon A Pre-function
8:45-8:50am Conference Welcome
Dr. Bala Deshpande, SimaFore & Jon Riley, National Center for Manufacturing Sciences
8:50-9:10am Diamond Sponsor Presentation
Advanced Analytics for Any Data at Real-time Speed

Dan Potter, Datawatch Corporation
DataWatch
9:10-10:00am
Expert Panel
Machine Learning for Manufacturing: Challenges and Opportunities
Terry Flood, SimaFore
Juergen Heit, Bosch LLC
Michael Zeller, Zementis
10:00-10:45am Predictive Analytics on Unstructured Data
Video and Images in Predictive Analytics: Next Frontier?
Prasad Satyavolu, Cognizant Technology Solutions
10:45-11:15am Exhibits & Morning Coffee Break
Room: Salon A Pre-function
11:15am-12:00pm Big Data in Manufacturing
Utilizing On Board Technologies To Improve Maintenance Practices in Airlines
Kumar Satyam & Alex Mannella, PriceWaterhouseCooper
12:00-1:00pm Lunch in the Exhibit Hall
Room: Salon A Pre-function
1:00-1:10pm Lightning Round
 
1:30-2:15pm
KEYNOTE
Big Context: Earlier Predictions with IoT Sensing and Operational Mapping
Julian Loren, GE
2:15-3:00pm Big Data in Manufacturing
Putting Predictive Models for Applications in Manufacturing into Operational Use
Juergen Heit, Bosch LLC
3:00-3:30pm Exhibits & Afternoon Break
Room: Salon A Pre-function
3:30-4:15pm IoT and Predictive Analytics
High Performance Computing and Big Data Synergies
Sharan Kalwani, Fermi National Accelerator Labs
4:20-5:05pm Predictive Maintenance
Predictive Analytics and Its Relationship with Prognostic
and Health Management of Machinery

Anasse Bari, George Washington University
David Nagel, George Washington University


Post-Conference Workshop: Thursday, June 11, 2015
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

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