AI in Downstream: transforming operations and driving efficiency

AI has the power to revolutionise downstream operations and drive advancements in efficiency, innovation, innovation, and productivity. Through its implementation, AI can strengthen health and safety practices, optimise inventories and production output, provide predictive maintenance, boost energy efficiencies, improve supply chain management, and enhance internal decision-making processes, driving significant improvements across the value chain for the industry. This can help reduce operational costs, increase output, optimise revenues, and improve the carbon footprint of downstream operations. However, maximising these gains requires the adoption of new technologies, the integration and cleansing of diverse data sources and IT tools, the enhancement of cybersecurity protocols, and the adaptation of the workforce to new operational paradigms. Partnerships between technology companies and energy companies will play a crucial role in accelerating these advancements by fostering innovation and sharing best practices. As the potential opportunities in leveraging AI to transform operations, drive efficiency, and unlock growth are far-reaching, how can the downstream industry effectively navigate these challenges to fully realise AI’s transformative potential?