Items Tagged with 'data management'

The pursuit of improved operational margins is difficult, as CPG companies face over 20% in cost losses due to inefficiencies. Many are implementing advanced sensors and contextual data analysis to enhance maintenance and develop AI-driven strategies in manufacturing.

Plants often have aging equipment that works fine, and it may have sensors, but in many cases that data never connects with data from other siloed processes. Why not connect all the data together with intelligent networks and use AI to get a better understanding of the whole process?

AI projects in food manufacturing have slowed down because large data projects have not provided great results. This has limited progress in the field. Now, a new group of data system integrators is here to help. They offer services like semantic labeling and data context, which can speed up new strategies in the industry.

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.

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.

The Traceability Driver is designed to make it easier for existing traceability software systems to transform their data into standardized formats, supporting sustainability and supply chain integrity by enabling seamless data exchange.

Data collection has become a major part of food manufacturing, but without data standardization, measuring overall equipment effectiveness (OEE) poses a challenge.

FOOD ENGINEERING discusses machine learning, neural networks, Industry 4.0, data governance and other AI concepts in food manufacturing with Markus Guerster, founder and CEO of MontBlancAI.

In a digital age where all data can be stored electronically, the most valuable proposition of software — especially those in manufacturing applications — is to reduce friction between humans and software and between software packages.

Food and beverage companies are seeking quick wins and ‘proof of technology’ projects that lead to increased efficiencies while also focusing on digital strategy roadmaps so manufacturers can scale.