AI’s big payoff hinges on fixing fragmented data: Study

Singh urged CIOs to embrace “data product thinking” — treating high-quality, reusable data sets as business assets. When done right, this powers AI use cases that actually move the needle, like predicting local stock needs or reducing travel spend.

To make AI work in real time, CIOs should build a data fabric that connects systems and embeds intelligence into day-to-day operations. Cloud-native platforms help teams collaborate across silos, while event-driven architecture lets AI respond the moment new data comes in.

AI also needs to be trained on clean, enterprise-specific data, with business rules, ethics, and security baked in. A strong training framework, coupled with feedback loops, helps AI spot issues, improve processes, and stay relevant, added the study.