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Businesses across the globe are exploring Artificial Intelligence (AI) as a nascent technology with potentially large implications for improving performance. Malcolm Allen, Director of Partners in Performance (PIP), brings this out with an analogy. He talks about the transition from steam engines to bullet trains, which took a great deal of time but transformed the world. “AI has great potential but it’s still in the steam engine age, related technologies are still being developed,” he says.
Artificial Intelligence systems can build their own self-developed and adapting world models which can be used to improve business productivity and performance. For example, PIP is working with a large utility field-force client to improve productivity. AI systems dynamically allocate work to field-force engineers based on availability, type of work, productivity, and travel times. As the workload changes through the day (for example due to new priority work orders, changing travel times, employee sickness) the system self-adjusts and optimizes the workload in real time across thousands of field-force engineers. Not only the system dynamically optimizes over time to further improve productivity rates as, for example, the productivity of engineers changes, weather predictions affect forecast travel times or order volume forecasts change.
Today AI in the workplace typically involves predictive world models where humans develop and moderate the rules in systems that are then modified by AI.
Allen believes that with the right tools to deal with the problems, the workflows will transform for the best
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