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Phrases such as “artificial intelligence” and “machine learning” are dominating headlines – and boardroom discussions – but what do they really mean? And more importantly, what can they do for food and beverage manufacturers?

New remote service tools and robust asset management platforms enable food and beverage companies to envision AI-based strategies and facilitate product innovation across the enterprise.

Industrial heat pumps provide chilling and freezing, and reclaim the heat energy lost in chilling to save money on heating water for cooking and cleaning—but is retrofitting possible?

Meat processors can turn to automation and vary film gauge, among other strategies, to meet demand for holiday products.

Fully automated by the Rizon 4 adaptive robot, the solution utilizes a combination of computer vision and force-control to identify and shape breaded fish fillets, so that consumers receive portions of a uniform size and shape.

The dynamic walkway concept, birthed by integration partner Arrow Conveyor Equipment, is specifically designed to allow uninterrupted conveyance for operator traffic below.

Unlike wet ingredients, the handling of dry powder ingredients and products usually requires specifically designed process areas to prevent dangerous situations that could result in worker injuries or death.

As companies seek to enhance precision, increase efficiency and reduce costs, AI-driven computer numerical control (CNC) machining is emerging as a game-changing innovation.

At the IFT FIRST Conference, Mimi Bonnett of Innova Market Insights spotlighted the top food trends in the U.S. and Canada, while Michael Warter of Ruiz Foods delivered insights on machine learning and AI.

While you can measure and chart OEE manually, today’s AI and ML-based technologies with smart sensors can help processors find the little things that can improve availability, performance and quality — leading to autonomous manufacturing.