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.
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.
Over the years, data acquisition systems and sensor technology have made it easier to track and improve OEE scores — now AI and ML can find nuances in data to up performance.
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.
The company has divested its gripper business assets to the Schmalz Group to focus its resources and expertise on advancing the commercialization of its end-to-end visual AI solutions.
AI, machine learning and robotics not only improve product flow, but also can attract young talent that’s grown up with computers and easily adapts to new technologies.
AI implementation is expected to play a crucial role in manufacturing operations in the next wave of industrial revolution, also known as Industry 5.0.
The solution leverages AI and analytics in response to the demand for sustainable food solutions and increasing consumer awareness around nutrition and animal welfare.
While there are already some AI tools available, proving their effectiveness will take some dedicated teamwork from suppliers, integrators and manufacturers.
Today’s artificial intelligence-based software visibly improves the operation of packaging and production systems, yet operates quietly behind the scenes.
Like a 15th century expression, “Children should be seen but not heard,” artificial intelligence (AI) is typically an embedded software technology that operates quietly behind the scenes keeping a production or packaging system running smoothly—and is silent unless something goes out of control and is not easily corrected. Then, the system sounds an alarm, possibly shutting down the process until the problem—which AI has already identified—is remedied by humans.