
Asset management clients appreciate AI’s potential – and want more
Clients want reassurance their manager is using AI properly. See what our global research reveals about AI adoption, budgets and data governance concerns.
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Stay up to date on market trends, operational strategies, and the technology that’s shaping the future of investment management.

Clients want reassurance their manager is using AI properly. See what our global research reveals about AI adoption, budgets and data governance concerns.

Asset managers are embracing AI, but weak data holds many back. New Clearwater research on where AI is delivering results across the investment workflow.

The AI investment paradox in asset management: why firms are spending big on AI yet remain deeply divided on the value of those investments.

Insurance risk regulation has quietly changed shape. The frameworks that rating agencies and regulators apply to insurers no longer accept a simplified estimate of what a portfolio would be worth under stress. Increasingly, they expect insurers to demonstrate a genuinely recalculated value — every instrument, repriced under each prescribed condition.
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.
As markets speed up and uncertainties multiply, end-of-day risk reports no longer cut it. Risk management is now an ongoing dialogue throughout the day. Beacon AI agents are the first step from static analytics to interactive intelligence, adding a new voice to the risk conversation as AI grows into a holistic and collaborative approach with traders, quants, and analysts.
From our experience working with these markets there are two essential ways that Beacon by Clearwater boosts risk management for power and gas trading: live risk monitoring and cloud-native scalability.
Key insights from hedge fund COOs on vendor selection and operational resilience at HFM Emerging Managers Summit 2026
Regulatory compliance has become a defining factor in how APAC’s insurers allocate resources, invest in technology, and prepare for long-term growth.
Our new research points to an overwhelming expectation of increased M&A activity among APAC’s insurers over the next three years. Almost all (96%) of insurance asset management executives at firms with total assets under management of $3.823 trillion predict a rise in domestic dealmaking, with 15% anticipating a dramatic increase.
The need for dynamic pricing and real-time valuations are transforming energy markets. As volatility and exotic instruments rise, traders need transparent risk management and cloud-native platforms to deliver speed, scalability, and precision in today’s high-stakes environment.
Peek behind the code at Clearwater Engineering. Discover how our team tackles challenges like AI orchestration, auto‑scaling, and zero‑trust.