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AI is helping to diagnose illnesses, inform us how to stock inventory levels for the next quarter, and cull out the best job candidates from thousands of resumes. In 2021, we saw the definitive marriage between AI and RoboticProcessAutomation (RPA). Time and effort saved also meant a reduction in related costs.
The use of forecasting through predictive analytics has always existed for improving efficiency for inventorymanagement. The AI-based recommendation engines being adopted in new e-commerce storefronts are driving higher revenues per customer.
This is where RoboticProcessAutomation (RPA) comes in. RPA software robots (“bots”) can help with legacy systems that otherwise are difficult to integrate—whether because they are mainframe applications without APIs or applications that aren’t easily extensible.
For example, generative AI as a prompt engine will improve efficiency by dramatically reducing the time humans take to create outlines, come up with ideas and learn important information. Organizations undergoing digital transformations are likely to uncover wide swaths of manual work that can and should be automated.
However, supply chain disruptions, engine durability issues, and delayed retirements are straining the system, demanding urgent innovation in MRO strategies to sustain this growth. Similarly, engine MRO providers spend three months restoring engines to full performance. The financial stakes are massive.
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