Published: 17 July 2024
The emergence of generative AI has led to growing expectations about its impact on workforce productivity. Executive leaders need to be ready to track and report on any productivity improvements following GenAI deployments. This research details three approaches to maximize improvements.
Executive leaders expect productivity gains through generative AI (GenAI) deployments. GenAI may help individuals save time on tasks, but that won’t lead to business value unless they use saved time to take on strategy-aligned activities.
Tracking worker activities is important when analyzing input as part of workforce productivity. However, it faces ethical challenges due to intrusive data collection and reporting practices.
Recent advances in the combination of task mining and process mining not only reveal the way of working on a local task, but also create insights in the broader process context. Besides focusing on operational efficiency, effectiveness and
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