Artificial Intelligence At ABB: Two Use Cases
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Key Takeaway
ABB cut maintenance costs by up to 40% and saved more than $200 million annually in excess inventory by embedding AI directly into its asset management and data infrastructure. The results came from two focused investments: a generative AI copilot that gives workers at every level plain-language access to real-time equipment data, and a unified cloud data platform that replaced a sprawling tangle of 40 ERPs and 25 data warehouses with a single source of truth. Senior leaders should note that neither win came from deploying AI broadly – both came from targeting specific, measurable operational pain points where fragmented data or delayed decisions were already costing real money.
ABB cut maintenance costs by up to 40% and saved more than $200 million annually in excess inventory by embedding AI directly into its asset management and data infrastructure. The results came from two focused investments: a generative AI copilot that gives workers at every level plain-language access to real-time equipment data, and a unified cloud data platform that replaced a sprawling tangle of 40 ERPs and 25 data warehouses with a single source of truth. Senior leaders should note that neither win came from deploying AI broadly – both came from targeting specific, measurable operational pain points where fragmented data or delayed decisions were already costing real money.
Originally reported by Emerj Artificial Intelligence Research. Read the full story here.
