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Predictive Analytics World for Manufacturing

June 8, 2015 @ 8:00 am - June 11, 2015 @ 5:00 pm

Predictive Analytics World for Manufacturing

Dates: June 8-11, 2015 in Chicago

The role of data in manufacturing has traditionally been understated. Manufacturing generates about a third of all data today, and this is certainly going to increase significantly in the future. Data forms the backbone of all Digital Manufacturing technologies, which will be the centerpiece of the strategy for advancing Manufacturing in the 21st century.

Predictive Analytics World for Manufacturing focuses on real-world examples of deployed predictive analytics. Attend and hear how some of the world's largest and most forward-thinking manufacturers are tapping the powering predictive modeling to improve business outcomes.

Click here to view the 2015 agenda at-a-glance.

The PAW Manufacturing agenda covers hot topics and advanced methods such as forecasting, cost and price modeling, supply chain connectivity, warranty data analytics, text mining for product development, visualization and dashboards, fault detection, failure prediction, in-process verification tools, machine system/sensor health, process monitoring and correction, product data mining, Big Data generation and management, and the Internet of Things.

Join PAW Manufacturing and access the best keynotes, sessions, workshops, exposition, expert panel, live demos, networking coffee breaks, reception, birds-of-a-feather lunches, brand-name enterprise leaders, and industry heavyweights in the business.

Venue: Hilton Chicago, 720 South Michigan Avenue, Chicago, Illinois, 60605, USA

Register here

Details

Start:
June 8, 2015 @ 8:00 am
End:
June 11, 2015 @ 5:00 pm
Event Category:
Website:
http://bit.ly/1CKR1aF

Organizer

Rising Media, Inc

Venue

Hilton Chicago
720 S Michigan Avenue
Chicago, IL United States
+ Google Map

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More Information on Predictive Analysis Process

Predictive Analytics Process Flow

For more information of predictive analytics process, please review the overview of each components in the predictive analytics process: data collection (data mining), data analysis, statistical analysis, predictive modeling and predictive model deployment.

Top predictive analytics software and Top predictive analytics open source software.
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