Predictive and Beyond: 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.

Watch the 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

Duration: One Hour

Watch the On-Demand Webinar!

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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