Das says affordable compute and national datasets will cut BFSI cycles to weeks

Banks and insurers have long wrestled with slow, costly development pipelines. A product team can spend months—sometimes years—tuning risk models, testing compliance checks, and integrating new data sources. In many firms, the bottleneck isn’t talent; it’s the infrastructure that underpins every experiment.

When compute resources are pricey and datasets fragmented across silos, even a modest change can stall an entire rollout. That reality has pushed regulators and industry groups to champion shared, national‑scale data repositories and cloud‑grade processing power that anyone can tap. The promise is simple: give teams the tools to iterate faster, without waiting for budget approvals or custom hardware builds.

If the underlying engines become cheap enough, the only thing left to limit a bank’s product manager is imagination. The stakes are high—shorter cycles could reshape how risk is priced, how fraud is detected, and how new services reach customers.

According to Das, this is "transformational for unlocking innovation." He noted that affordable compute and national datasets will "shrink the development cycles from quarters and years to weeks," adding that a product manager in a bank is limited only by their imagination. It means that risk modell