Over the years, seeking the perfect batch may have seemed like the quest for the Holy Grail, but today, let AI/ML-based batch serve as your experienced guide.
You don’t have to go it alone when searching for and maintaining the perfect batch. Through machine learning and AI-based batch control, the arduous search becomes easier to realize.
With current IE5-rated motors rated at 96% to 98% efficient and drives up to 99% efficient, operators also need to consider overall systems in energy and sustainability surveys.
As the march continues to make motor efficiency nearly 99%, the way motors are used and applied can make a big difference in the overall sustainability picture of any plant.
Rethinking the operation could unlock more productivity, and the key to successful automated reverse packaging hinges on robot 3D vision system technology.
Recent outages among internet cloud providers have shown that maintenance and enterprise asset management (EAM) systems need to have a fallback — and fortunately most automation suppliers are ready.
There was a time most maintenance and EAM software operated strictly within a facility or enterprise, but the development of AI and off-premises, cloud-based computing has made it possible to do heavy computing and trending in the cloud. But what happens when the “cloud” goes down?
Bob Garrison, chief editor of Prepared Foods, Kelley Rodriguez, editor-in-chief of Refrigerated & Frozen Foods, and Alyse Thompson-Richards, editor-in-chief of FOOD ENGINEERING, discuss the biggest trends impacting the food industry in 2025 and beyond.
In the AI world, the latest buzzword is “agentic AI,” which replaces — rather than augments — human decision making, but the data AI needs to make such a decision may not yet exist in many facilities.
To make good decisions, people, automation and AI systems need quality data — but to let an AI agent make an autonomous decision without input from operators and key decision makers means a processor needs to have lots of accurate data based on real and known sensory inputs, which may not exist in many plants and enterprises.
The agency says agentic AI deployment will enable its staff to further advance the use of AI to assist with more complex tasks, such as meeting management, pre-market reviews, review validation, post-market surveillance, inspections and compliance and administrative functions.