Rimes

90% of asset managers are already running AI, LLMs or agentic workflows in production or pilot. But most of the data underneath wasn't built for AI to act on directly. New research from Rimes, in partnership with Adox Research, surveyed 79 senior investment, technology and data leaders on whether their data infrastructure can support AI at scale. Explore the findings on vendor neutrality, governance and what it takes to close the gap.

86% of firms feel confident their AI-facing data is accurate and auditable. 65% have already had an AI output questioned because that data couldn't be verified, a 21-point gap. Rimes partnered with Adox Research to explore why that gap exists, and what impartial, scalable, trusted and auditable data infrastructure actually requires. Download the full research now.

Public pension portfolios have grown more complex than the systems supporting them. Public and private markets sit side by side, oversight is rising, and every number reported to a board or auditor must withstand scrutiny. Underneath this is often fragmentation. Positions, prices, and exposures sit across custodians, external managers, and internal systems not built to work together, leaving teams reconciling numbers instead of acting on them. Our latest blogs explore what separates funds that get ahead, from scoping the right requirements to navigating vendor evaluation, from those solving the same challenges again a few years later. Explore our latest resources and book a demo: https://lnkd.in/geYYZTuA

Vijay Mayadas, President & CEO at Rimes, sat down with Victor Anderson of WatersTechnology to talk about what it means for Rimes to be named ‘Best Managed Data Service Provider’ in the 2026 WatersTechnology.com Rankings, an honor we were recently recognized with. The conversation centers on the Intelligence Fabric for Capital Markets, with Enterprise Data Management at its core, and why clients are increasingly asking for data that is more connected, not just more available. Learn more: https://lnkd.in/gu8a7zSi

The savings opportunity from outsourcing Enterprise Data Management (EDM) depends on how far you transform the operating model. Rimes observes potential savings of 20 to 30% through operational efficiency, 30 to 40% through operating-model transformation, and 40 to 60%+ through broader platform consolidation and data rationalization. Download our latest research to explore where the savings come from and what a credible business case for managed EDM can look like.

What could a different Enterprise Data Management (EDM) operating model mean for your cost base? In an illustrative model for a global asset manager, moving from in-house EDM to a managed-service approach reduced annual run-rate costs by 57%, delivering $1.655 million in annual savings. Explore the financial and operating-model case for outsourcing EDM, including indicative savings across key data domains and how firms can reduce operational burden while retaining control.