Читать книгу Enterprise AI For Dummies - Zachary Jarvinen - Страница 57

If any system is ripe for transferring the tedious work to intelligent agents, it’s a system of thousands of moving parts that must be monitored and maintained to optimize performance. By combining remote sensors and the Internet of Things with AI to adjust performance and workflows within the plant or across plants, the system can optimize labor cost and liberate the workforce from the tedious job of monitoring instruments to add value where human judgment is required.

AI can also drive down costs using sensor data to automatically restock parts instead of referring to inventory logs and by recommending predictive maintenance as opposed to reactive maintenance, periodic maintenance, or preventative maintenance, extending the life of assets and reducing maintenance and total cost of ownership. McKinsey estimated cost savings and reductions could range from 5 to 12 percent from operations optimization, 10 to 40 percent from predictive maintenance, and 20 to 50 percent from inventory optimization.