Items Tagged with 'artificial intelligence (AI)'

Many food manufacturers may not know where to begin implementing AI, and new research from IFS shows they’re not alone. However, to realize gains and stay competitive, getting started is key. 

Rob Dongoski, global lead, agriculture and food, for management consulting firm Kearney, discusses major drivers for change in the U.S. food system, including generational purchasing patterns, growing interest in health and sustainability, and implementing technology to harness consumer insights and improve efficiency.

AI, automation and consumer trends continue to drive change in food and beverage manufacturing, according to our 2025 State of Food Manufacturing survey.

By adopting the right technology and building them into scalable, repeatable processes, manufacturers can see positive impacts on their bottom line.

Achieving a high OEE score has been elusive in the past as processors grapple with where to begin in troubleshooting OEE issues. The future of OEE, with the help of AI technology, will help manufacturers find the most miniscule of line problems and be on top of their game.

From machine vision and predictive maintenance to digital twin simulations and connected worker platforms, cutting-edge automated systems are redefining what’s possible in food manufacturing.

With manufacturing barely expanding and costs tightening, companies are looking to squeeze every bit of efficiency from their operations. AI-driven optimization of OEE metrics is becoming an essential lever for doing exactly that.

MaintainX’s platform puts AI-driven insights in the hands of both the technician on the shop floor and the executive in the boardroom – both of whom are accountable for uptime, safety and performance.

As part of its State of Industrial Maintenance report, MaintainX recently surveyed maintenance professionals across the U.S. and Canada with the goal of understanding the obstacles they face in 2025 and beyond.

Material loss analysis used to take too much time and effort, but manufacturers can get these insights quickly and easily by folding material loss analysis into a digitalization strategy.