Chemfocus 2026 Vol. 1 explores how artificial intelligence is reshaping asset reliability in the chemical industry, supporting the shift from reactive maintenance to predictive, data-driven performance.
As GCC chemical operations become larger and more complex, reliability is becoming a key driver of uptime, efficiency, and competitiveness. This edition highlights how AI-enabled predictive maintenance is helping operators detect early faults, reduce unplanned downtime, and improve maintenance planning through real-time data and advanced analytics.
It also explores the role of digital twins as a more advanced stage of digital maturity, enabling simulation, system-level visibility, and performance optimization beyond predictive maintenance.
Grounded in industry insights and practical applications, this edition presents how AI is setting a new benchmark for asset performance in the chemical sector.