Progress Data Platform

With CHAPS 2027 ahead, the real opportunity for payment providers is not just meeting ISO 20022 requirements, but building the data foundation needed to use richer payment information with confidence.

AI success in the enterprise is no longer about how powerful it looks in demos, but whether it can be trusted to operate reliably, transparently and at scale within real business workflows. Organizations that win will be those that prioritize governance, context and repeatability to turn AI from hype into dependable infrastructure that supports real decisions.

Organizations are dealing with unprecedented amounts of data, and while this data has the potential to help drive more informed business decisions and facilitate AI projects, data silos can arise and prevent companies from realizing the true potential of their data. One solution to this challenge is Microsoft Fabric, a platform that allows data from multiple different sources to be unified in a single data lake where it can be connected to different analytics and reporting tools, like Power BI.

Deep research is iterative, not transactional. AI must preserve context, reasoning and evidence across long-running investigations to be useful in R&D and turn isolated insights into institutional advantage. Trust is the gating factor here—when outputs can’t be traced, reviewed or defended, AI stalls at the pilot stage and never reaches production. It's production-ready AI that compounds research value.