The AI-Powered Process Management Renaissance

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The AI-Powered Process Management Renaissance
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Process management, once popular in the 1990s, is experiencing a revival fueled by artificial intelligence (AI). The synergy between AI and process management is substantial: AI enables companies to efficiently scale optimized processes, while well-managed processes facilitate the acquisition of high-quality data essential for AI training. This combination can lead to significant productivity gains, but successful implementation requires effective change management. The article outlines seven steps for companies to integrate people, data, analytics, and technology, particularly AI, to revamp processes and achieve enhanced business performance.

Process management, which swept the business world in the 1990s and then fell out of favor, is experiencing a renaissance, thanks to AI. The two reinforce each other: AI helps firms significantly scale up improved processes, and well-managed processes make it easier to obtain the high-quality data needed to train AI. Combining them can generate huge productivity gains—but it requires a lot of change management .

It built a digital twin of its production line and fed data from it into a machine-learning model to predict the line’s output and reduce overfilling and waste. It worked with a “decision intelligence” vendor, Aera Technology, to create visualizations of the data, generate recommendations about preventive maintenance, and automate some operational decisions.

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