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Nuo bandomųjų projektų iki rezultatų
Tvarumo poveikio mastelio keitimas naudojant DI
Remiantis daugiau nei 260 vyresniųjų vadovų duomenimis, šioje naujoje ataskaitoje pateikiama išsami Industrial AI poveikio analizė, padedanti organizacijoms įgyvendinti savo tvarumo tikslus.
The next stage of Industrial AI
From early adoption to scaling impact
Two transformations are shaping our world: the shift from fossil fuels to renewables and from a linear to a circular economy. Navigating both amid growing complexity requires new approaches. Industrial AI unlocks new possibilities - enabling simulation before construction, optimization before operation, and orchestration across entire value chains - transforming energy systems, supply chains, and infrastructure into intelligent, sustainable ecosystems.
Building on our inaugural report in 2024, this year’s edition highlights how organizations have progressed beyond early adoption to deploying industrial AI at scale - driving measurable sustainability impact.
Key Findings
↑ 63%
↑ 63% Widespread adoption
63% of organizations are actively implementing industrial AI.
↑ 81%
↑ 81% Growing confidence
81% of respondents agreed that future innovation in sustainability will be driven by industrial AI.
↑ 23%
↑ 23% Proven results
Organizations are achieving an average of 23% energy savings and 24% CO₂ reductions with industrial AI.
Climate change, biodiversity loss, population growth require customers to embrace energy transition, circularity transition and societal changes at the same time. The complexity of juggling global interconnected system transitions in times of major disruptions can only be mastered with AI.
