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Remember the boy with endless learning capacities in the 2001 film “AI Artificial Intelligence”? He’s quickly coming to life. Today, AI is no longer fictional; it’s reality.
In its current form, AI can sort through massive amounts of data more quickly and efficiently than humans, allowing for more timely, insightful and decisive choices in real time. These functions of AI and “deep learning” are becoming increasingly beneficial to more and more industries, such as healthcare, transportation and finance, but only one industry can arguably claim to be the first to fully harness AI: manufacturing.
With AI, manufacturers can now monitor the progress inside of our plants in real-time and access the mission-critical data for improved operations, enhanced asset utilization and optimized quality. AI can optimize vital tasks, such as production planning and scheduling, as well as examine machine operation conditions, predict failures, and proactively remediate problems that might occur.
By using AI systems, we can begin to manage increasingly complex supply-and-demand issues and optimize factory utilization. This means for large-scale manufacturers, AI will be able to sense and adjust to their environment and communicate in an industrial network that is formed and based on the analysis of Big Data, increasing performance and productivity throughout the entire factory.
For small- and medium-scale manufacturers, AI can reduce expense by enabling machines to perform a wider range of jobs adaptive to the production needs.