IFS committed to deploying AI solutions that help its customers achieve their sustainability goals
IFS recently released a new whitepaper on the important role Industrial AI can play in the decarbonization of the world’s most asset-intensive industries.
‘The Intelligence Behind Sustainability: Industrial AI’s Critical Role in Decarbonization’ calls on the industrial world to leverage Industrial AI to improve sustainability and operational efficiency, supporting measurable emissions reductions across heavy and hard-to-abate sectors.
The report arrives at a critical juncture for global decarbonization efforts. Eight hard-to-abate sectors including aviation, shipping, trucking, steel, cement, aluminum, primary chemicals, and oil and gas, account for approximately 40% of total global greenhouse gas emissions.
Intelligent optimization
With every new furnace or turbine built today risking locked-in emissions until mid-century, the need for intelligent optimization of existing assets, as well as transition to new operating models, has never been more urgent.
“At IFS, we’re committed to deploying AI solutions that help our customers achieve their sustainability goals while building more resilient, competitive operations,” observed Sophie Graham, Chief Sustainability Officer at IFS.
“AI holds transformative potential for industrial and hard-to-abate sectors, guiding us towards net zero outcomes with innovative precision. However, as AI-driven solutions illuminate our path, we must also manage their energy demand responsibly,” said Leigh Bates, Partner at PwC.
Three pathways to sustainability impact
The report identifies three key ways industrial AI intersects with sustainability. First, it enables industrial organizations to ‘do more with less’ by optimizing resource use and reducing waste across operations.
Second, it allows companies to leverage data for insights, creating traceable, auditable information that verifies sustainability results and supports decision-making.
Third, it delivers business model transformation by enabling outcome-based and circular economy models through digital twins and AI-driven decision analytics platforms that help organizations test long-term investment portfolios against climate scenarios.
