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Agenda Overview – Manufacturing – June 19-22, 2017
Day 1: Tuesday, June 20, 2017
(PAW Business runs in parallel on this day - dual registration required)
8:00-8:45am Registration & Networking Breakfast
8:45-8:50am Conference Welcome
Bala Deshpande, IBM Watson Cognitive Center of Competence
Jon Riley, NCMS
8:50-9:10am Diamond Sponsor Presentation
9:10-10:00am
KEYNOTE
Weird Science: How to Know Your Predictive Discovery Is Not BS
Dr. Eric Siegel, Predictive Analytics World
10:00-10:30am Exhibits & Morning Coffee Break
10:30-11:15am Failure Detection, Fault Prediction, Predictive Maintenance
Case Study: Rolls Royce Company
Predictive Analytics Solution Template for Early Prediction of Assembly Line Failures

George Iordanescu, Microsoft
11:20am-12:05pm TBA
To Be Announced
12:05-1:30pm Lunch in the Exhibit Hall
1:30-2:15pm
KEYNOTE
To Be Announced
2:15-2:35pm Lightning Round
2:40-3:25pm To Be Announced
Solving The Curse of Dimensionality in Process Manufacturing
James Foster, Archer Daniels Midland Company
3:25-3:55pm Exhibits & Afternoon Break
3:55-4:40pm TBA
To Be Announced
4:45-5:30pm TBA
To Be Announced
5:30-7:00pm Networking Reception

Day 2: Wednesday, June 21, 2017
(PAW Business runs in parallel on this day - dual registration required)
8:00-8:45am Registration & Networking Breakfast
8:45-8:50am Conference Co-Chairs Welcome
Bala Deshpande, IBM Watson Cognitive Center of Competence
Jon Riley, NCMS
8:50-9:10am Diamond Sponsor Presentation
9:10-10:00am
KEYNOTE
Artificial Intelligence: Will it make Smart Manufacturing Smarter?
Bala Deshpande, IBM Watson Cognitive Center of Competence
  IoT and Industrial Internet
10:00-10:45am
Case Study: Honeywell International
Profit from Insight: Monetizing Data & Analytics in Today's Connected World
Sakti Kunz, Honeywell International
10:45-11:15am Exhibits & Morning Coffee Break
11:15am-12:00pm Failure Detection, Fault Prediction, Predictive Maintenance
Case Study: 3DSignals
The Sound of (Machine) Music: How Deep Learning on Noise is Disrupting Industrial IoT
Gal Corfas, 3DSignals
12:00-1:15pm Lunch in the Exhibit Hall
1:15-2:00pm
KEYNOTE
To Be Announced
2:00-2:15pm Sponsor Presentations
2:15-3:00pm IoT and Industrial Internet
To Be Announced
3:00-3:30pm Exhibits & Afternoon Break
3:30-4:15pm Data Science for Manufacturing
Case Study: Magnitogorsk Iron and Steel
Decreasing Steelmaking Costs with Machine Leaning: A Practical Case Study

Sergey Sulimov, Magnitogorsk Iron and Steel Works OJSC
4:20-5:05pm Data Science in Manufacturing
To Be Announced

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