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Agenda Overview – Manufacturing – June 17-18, 2014
Day 1: Tuesday, June 17, 2014
8:00-8:45am Registration & Networking Breakfast
Room: Foyer
8:45-8:50am Conference Chairs Welcome Room
Eric Siegel, Prediction Impact & Dr. Bala Deshpande, SimaFore
Room: S104AB
8:50-9:10am Gold Sponsor Presentation
From Quality Control and Reacting to Predictive Quality Control and Pre-Acting
Thomas Hill, Dell Software Group / StatSoft
Dell Software
Room: S104AB
The Prediction Effect, the Data Effect, and the Persuasion Effect
Eric Siegel, Predictive Analytics World
Room: S104AB
10:00-10:30am Exhibits & Morning Coffee Break
Room: Foyer
Case Study: National Center for Manufacturing Sciences
The Test of Time(lines): Building a Digital Manufacturing Empire

Jon Riley, NCMS
Room: S102A
  Tool Wear & Failure Prediction: Room: S102A
Case Study: UI Labs
Digital Manufacturing and
Design Innovation Institute

Dean Bartles, UI Labs
12:00-1:10pm Lunch in the Exhibit Hall
Mining Big Data for Improving Launch Quality and Customer Satisfaction
Soumen De, EGM, Advanced Quality Analytics - GMTCI, GM Technical Center India
Room: S102A
2:10-2:15pm Silver Sponsor Presentation
Predictive Analytics with Humans- in- Loop
Prasad Satyavolu, Cognizant Technology Solutions

Room: S102A
2:15-2:20pm Silver Sponsor Presentation
Do you sweat your high value assets without burning them out?
Carrie Ware, Technosoft

Room: S102A
2:25-3:00pm Data Generation, HPC: Room: S102A
Case Study:The UberCloud Experiment
Smart Manufacturing Getting Smarter: CAE as a Service, On Demand, in the Cloud
Wolfgang Gentzsch, UberCloud
3:00-3:30pm Exhibits & Afternoon Break
Room: Foyer
3:30-4:10pm Tool Wear & Failure Prediction: Room: S102A
Panel Discussion:
Predictive Analytics Projects: To Outsource or Not To Outsource?

Panelist: Terry Flood, SimaFore
Prasad Satyavolu, Cognizant
Steven Reagan, L&L Products
Jon Riley, NCMS
4:15-4:50pm Forecasting, Cost & Price Modeling: Room: S102A
Case Study: L&L Products
Cost Forecasting Using Advanced Analytics
Steve Reagan, L&L Products
4:55-5:30pm Fault Detection & Failure Prediction: Room: S102A
The New Normal in Maintenance:
Predicting Equipment Health Using Device Data

Sumit Kumar Chand, Technosoft
5:30-7:00pm Networking Reception
Room: Foyer

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Day 2: Wednesday, June 18, 2014
8:00-8:45am Registration & Networking Breakfast
Room: Foyer
8:45-8:50am Conference Welcome
Jon Riley, Vice President, Digital Manufacturing, NCMS
Room: S102A
8:50-9:10am Sponsor Presentation
How leading manufactures today are improving product safety, quality, warranty and
reliability using analytics and big data

Reid Karabush, Decision Systems Inc.
Decision Systems Inc
Room: S102A
Predictive, Accessible and Achievable Solutions to Short- & Long-Term Challenges
Craig Brabec, Enterprise Champion, Information Analytics, Caterpillar Inc.
Room: S102A
10:00-10:30am Exhibits & Morning Coffee Break
Room: Foyer
10:30-11:15am Visualization & Dashboards: Room: S102A
Case Study: Archer Daniel
Midlands Company

Analytics Improves Productivity in Corn Processing Plant
Jim Foster, ADM
11:20am-12:00pm Tool Wear & Failure Prediction: Room: S102A
Next-Gen Predictive Analytics Models for Parts Failure Using Telematics Data
Prasad Satyavolu, Cognizant
Vivek Diwanji, Cognizant
Joseph Disantis, Marathon Oil
12:00-1:15pm Lunch in the Exhibit Hall
Room: Foyer
Enabling Smart Cars Using In-Vehicle Electronics Data Analytics
Thomas Klier, Senior Economist, Economic Research Department, Federal Reserve of Chicago
Room: S102A
The Internet of Things: Filling the Predictive Analytics Data Void
W. David Stephenson, Principal, Stephenson Strategies and Author, SmartStuff: an introduction to the Internet of Things and Data Dynamite: how liberating data will transform our world
Room: S102A
2:45-3:15pm Exhibits & Afternoon Break
Room: Foyer
3:15-3:55pm Visualization & Dashboards: Room: S102A
Case Study: Inteva Products
Vivid Visualization for
Quality Improvement

Catherine Lubchenko, Inteva
3:55-4:30pm Measuring Business Impact of Manufacturing Analytics: Room: S102A
Improving Supply Chain Transparency through Analytics
Anish Verma, IBM
4:35-5:10pm Digital Manufacturing: Room: S102A
Case Study: GE Global Research
Predicting Variation in Product Performance by Integrating
Geometric Modeling and Process Data

Arvind Rangarajan, GE Global Research

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