The recalls making headlines are not happening because food manufacturers stopped caring about safety. They are happening because the systems designed to catch problems are built to record what happened, not to prevent what is about to happen. This is one area where agentic AI can be transformational for food supply chains.
Protein products geared toward a healthy lifestyle are ubiquitous in North America. As demand increases across the board, producers are evaluating alternative protein manufacturing and precision fermentation.
With rising demand for protein, food manufacturers are turning to plant-based proteins, precision fermentation, and AI-powered tools for innovation. Pea protein is becoming popular, and new partnerships and digital technologies are aiding in reformulation and product development.
Some new ERP providers are building their systems from scratch totally on AI, but can their systems fulfill all the demands that manufacturers have expected from conventional ERP over the years?
How manufacturing leaders can move beyond operational excellence, embrace strategic risk and drive transformation across the connected workforce.
Avery Dennison Chief Information Officer Nicholas Colisto shares why leadership, not technology, is the defining factor in scaling impact across operations and why playing it safe is no longer a viable strategy.
This visual overview, featuring images and videos of robotics applications in the food industry, illustrates what is possible with modern vision systems, artificial intelligence and robotics in a range of applications — from agricultural harvesting to serving up RTE meals, smart palletization and carcass cutting.
The world of smart packaging comprises many parts — intelligent equipment, recyclable materials, captivating art and lots of data — but pulling it together is a challenge. However, if done correctly, it benefits everyone in the supply chain from producer to consumer with timely information.
McCain says the program gives its teams and potato growers a shared, consistent view of crop performance throughout the season, using data-driven insights to help identify variability earlier and prioritize attention where it matters most.
With unplanned downtime costing up to hundreds of thousands of dollars per hour, food manufacturers are rethinking how they monitor and maintain the systems that keep production moving. Conveyor systems offer a scalable and cost-effective starting point for predictive maintenance.
Food and beverage management is sold on data standardization in plants to support AI-based strategies. This early wave of data standardization projects and solutions is delivering increased context on traditional metrics, such as OEE.
In an evolving manufacturing landscape, leaders are leveraging AI and advanced analytics to enhance efficiency and decision-making. Contextual data and real-time insights are driving innovation, allowing companies like Ruiz Foods and Kraft Heinz to unlock significant value and optimize operations.
Over the past year, E Tech Group says it has experienced 400% growth in IT/OT assessment and remediation work as manufacturers increasingly evaluate whether existing manufacturing infrastructure can accommodate modernization, digital transformation and AI initiatives.
On Demand The session will examine emerging applications for artificial intelligence (AI) in food manufacturing, including how agentic AI could reshape operations, decision-making, and production workflows in the years ahead.