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Stay up to date on market trends, operational strategies, and the technology that’s shaping the future of investment management.
AI isn’t just going to make an enormous difference to the asset management industry – it is already having a transformative effect on businesses today. And not for all the ‘wrong’ reasons, either. There are good reasons for people to…
Asset managers are restructuring portfolios amid market volatility. New Clearwater research shows what is driving the shift and how firms are responding.
Asset managers are adopting AI faster than they’re building trust in it. New Clearwater research on data integrity, skills gaps, and model transparency.
AI adoption in asset management is accelerating to boost productivity, improve compliance processes, and strengthen data verification, but moving from pilot to production is proving slower and harder than expected.
The KOSPI has risen into record territory above 4,200 in 2025, establishing Korea as one of the strongest-performing major equity markets globally.
This article is not an argument to rip and replace. It’s an honest look at what the market has changed, what modern platforms now offer that older ones structurally cannot, and how to evaluate whether your current setup is still the right fit for where your business is going.
Can the U.S. economy skirt recession again?
Key insights from the “What Does a Strong Data & AI Strategy Look Like for Hedge Funds and Asset Managers in 2026?” breakfast briefing panel discussion
InvestOps attendees described a set of problems that will sound familiar to anyone running investment operations today. Validating data across systems that should agree but don’t. Accessing historical records back to inception for transparency requests and audits. Spending hours on manual cleanup before any downstream work can begin.
Many legacy OMS platforms were built when equity-centric strategies dominated the hedge fund landscape. As strategies have evolved to include meaningful fixed income, FX, swaps, options, futures, and structured products, those platforms have struggled to keep pace.
The cost of running a multi-fund, multi-asset book of record in Excel is much more expensive than investment teams realize. If your book of record lives in a spreadsheet, your book of record lives in a single point of failure.
With the recent marriage of generative AI tools and software development, tasks that required significant manual effort are increasingly automated — enabling teams to shift their focus from repetitive implementation to higher-order design, architecture, and innovation.
Effectively adding AI trading technology to your risk conversations requires more than just a single agent operating as your AI Assistant. An effective AI team is made up of a variety of specialized agents that work together, designed, controlled and orchestrated by their human leader to tackle the multi-step and multi-role activities that are part of real-life trading and portfolio management.
Peek behind the code at Clearwater Engineering. Discover how our team tackles challenges like AI orchestration, auto‑scaling, and zero‑trust.