Artificial Intelligence (AI) has become increasingly integrated in the utility sector, influencing safety, reliability, and revenue via applications such as predictive maintenance and outage forecasting. However, the operational advantages come with associated audit and regulatory risks, necessitating the evolution of Internal Audit (IA) to provide continuous oversight, map AI risks to established frameworks, and produce regulator-ready evidence.
Artificial intelligence is no longer a cool pilot living in a corner of the innovation lab, waiting for someone to remember it exists. It has moved straight into mission-critical operations across the utility sector. Predictive maintenance, outage forecas...
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