The Niger Delta Power Holding Company has adopted artificial intelligence and machine learning technologies to predict equipment failures and improve the performance of its power plants as part of efforts to boost electricity generation and reduce operational downtime. The Managing Director and Chief Executive Officer of NDPHC, Jennifer Adighije, disclosed this during an engagement with the Nigerian Economic Summit Group, where she highlighted how emerging technologies are transforming operations across the company’s generation assets. According to a statement by the company on Sunday, Adighije said AI-driven predictive maintenance was enabling the company to identify potential equipment failures before they occur, allowing engineers to carry out timely interventions and minimise plant outages. She said the deployment of AI and machine learning tools marks a shift from reactive maintenance to data-driven asset management, helping to improve operational efficiency and plant reliability. Adighije added that beyond predictive maintenance, AI has the potential to improve demand forecasting, optimise grid management, and support energy efficiency initiatives across the power sector. She stressed that successful deployment would require sustained investment in infrastructure, capacity building, and collaboration among government agencies, private sector players, and research institutions.