Publication – Financial express
Industries constantly seek innovative ways to improve their efficiency and productivity. To improve performance and efficiency and reduce downtime, it is necessary to automate data collection. One of the most game-changing approaches in recent times is the advent of integrating data from various sources through peripheral automation and putting that into insights to make informed decisions that optimize manufacturing processes.
Analytics and Artificial Intelligence (AI) play a crucial role in empowering smart manufacturing by enabling data-driven decision-making, optimizing processes, enhancing productivity, and facilitating predictive maintenance. Peripheral automation refers to the use of automated systems and sensors at the periphery of manufacturing operations, such as machines, production lines, and equipment.