Predictive and Beyond: Using Artificial Intelligence to Increase Efficiency in Food and Beverage

Using Artificial Intelligence to Increase Efficiency in Food and Beverage

Asset Performance

Analytics and AI-driven processes will revolutionize the manufacturing shop floor

With tight capital and operating budgets, food and beverage manufacturers are looking to “sweat” existing assets. Predictive maintenance can help manufacturers achieve significant reduction in unplanned downtime and increase asset reliability by providing early detection and warning of issues, inefficiencies and errors. And it doesn’t stop here. With the use of Artificial Intelligence, we can enjoy higher productivity and more savings advancing from predictive to prescriptive, and to prognostic levels.

You are invited to join us in an upcoming webinar to learn more about:

  • Predictive asset maintenance and what’s possible beyond predictive
  • Examples of machine learning applications in assets and operations optimization
  • Areas of opportunities to achieve productivity improvements, supported by a high-performance information management system
  • Use case of how other food and beverage manufacturing companies have achieved significant savings

Date: August 21, 2019
Time: 11:00am EST
Duration: One Hour

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Speaker

James H. Chappel

Vice President – Information Solutions

Jim Chappell oversees AVEVA’s overall Artificial Intelligence (AI) strategy and implementation across all business sectors. In addition, he is in charge of the Asset Performance Management (APM) suite of products and related engineering/analytics services. This encompasses Industrial Big Data (data historians), predictive/prescriptive/prognostic analytics, business intelligence, and enterprise asset management. His responsibilities include both on-premises and cloud based (SaaS) offers.

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