Articles Tagged with ''artificial intelligence (AI)''

Ever notice how ChatGPT or CoPilot saves all your AI chats? While this can help solve future problems more quickly, private data accumulated from an OT system saved on the public internet is a disaster waiting to happen. Fortunately, in most cases AI is embedded in the process and data stays private and protected.

Perfect Batch applies industrial AI to identify ideal batch profiles from historical data and actively recommend actions for increasing efficiency.

AI is revolutionizing manufacturing with applications in predictive analytics and product development. Despite challenges like data silos and integration, progress is being made towards agentic AI. Discover how companies are adapting and what the future may hold.

It is critical for manufacturers such as food processors to recognize that while AI has the potential to become the "turbocharger" of operations, that transformation rarely happens by simply bolting on use cases.

These apps are engineered around high-speed lines, thermal variability, CIP/SIP complexity, micro-stoppages, drift conditions and robotics.

Last year was an eventful year for the food manufacturing industry, and FOOD ENGINEERING expects many of the major themes to carry over into 2026.

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.

IFT’s Science and Policy Initiatives team shares scientific insight from and on behalf of the IFT community with various governing bodies and has weighed in on critical food topics, including ultra-processed foods, artificial food dyes, food traceability and safety.

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.