Articles Tagged with ''data acquisition''

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.

AI may dominate industry conversations, but data modeling is delivering measurable results today. Discover how food, dairy and pet food manufacturers are using real-time production data to improve quality, increase throughput and give operators the insights needed to drive smarter decisions.

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.

Investments in automation and additional tools for data analytics keep coming to packaging lines as plants become more connected. Machine learning and digital twin technology are increasing throughput and driving innovation for large and small brands.

The SMB Production Optimization Starter Pack transforms traditional production monitoring by providing real-time insights and flexible dashboards and reporting.

Success in operational readiness is all about data collection. When predictive maintenance systems are integrated with actionable alert-enabled HMIs, OEE increases.

Food giants are closing legacy plants and building greenfield facilities to achieve higher volumes, greater flexibility and increased margins. So how are plant managers and corporate leadership executing, managing and delivering data to help operators find accurate KPIs and OEE metrics?

As manufacturers plan for increased traceability demands, purpose-built facilities with integrated digital traceability systems will streamline compliance and enable faster, more accurate responses that help protect public health.

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

The device is designed to maximize data collection while minimizing operator involvement.