Data silos and poor data quality continue to impact AI adoption in CPG manufacturing, recent research from Veev shows, but continuing integration and unification is helping.
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.
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.
While many industries struggle to demonstrate meaningful returns on their AI investments, food and beverage manufacturers are charting a different course.
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.
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.
Food manufacturers who use today’s demand environment as a sandbox will face future chaos with a prepared AI that knows their operations intimately and can respond faster than any human team alone.
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