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Clearwater Warns on Agentic Use in Risk Management Without Data Quality Check

The deployment of artificial intelligence agents to risk management processes without adequate attention paid to data quality will expose capital markets participants to undue vulnerabilities. The warning from Clearwater Analytics came after a survey by the company found almost all institutional investors questioned said that data quality was the biggest barrier to trusting AI outputs….

AI Has Empowered Data Users to Guide Tech Innovation: Advisory QualityAI

The traditional technology divide between an organisation’s business leaders and its engineers has been flipped in the artificial intelligence age, with end users and data consumers calling the shots in proposed pilots and making tougher demands of their software developers and data managers. The role reversal is such that AI has become a business model…

Dasseti Acquisition Provides New Private Markets ‘Chapter’ for Nasdaq

Nasdaq’s acquisition of Dasseti, a due diligence and monitoring platform, extends the exchange and data company’s interests in private markets and highlights the growing importance of the sector to capital markets investors. The deal, which was completed in September, will see the artificial intelligence-powered tools of Dasseti integrated into Nasdaq’s eVestment business, and rolled out across…

BBH Subsidiary Braid Seeks to Fill Data Transformation Hole for Financial Institutions

As data is distributed throughout an enterprise, it has to be integrated with a variety of technologies in order to bring efficiencies to different workflows. This can create a lot of manual overhead, particularly in organisations with fragmented legacy tech systems. While bolt-on point solutions exist, they tend to be custom-built for particular use cases…

InterSystems-Aegis Trace Collaboration Seeks to Give Clients AI Adoption Confidence

Data integrator InterSystems has engaged Aegis Trace to provide the tools for clients to manage their data in a way that ensures trust in their artificial intelligence-led decision making. MSDK Labs-developed Aegis Trace brings it traceability capabilities to InterSystems IRIS data platform, enabling financial institutions and other regulated industries to evidence and audit the responses…

Data and Governance Take Centre Stage in AI Adoption

Financial institutions are making significant progress in deploying agentic AI, but differences in data infrastructure, governance and commercial priorities are creating a widening gap between those scaling the technology and those still experimenting, according to new research from A-Team Group. The study, commissioned by LSEG Data & Analytics and based on responses from 200 senior…

A-Team Group Announces AI in Capital Markets Awards 2026 Winners

As artificial intelligence dominates conversations among the decisions makers of the world’s financial institutions, A-Team Group has recognised the vendors that are enabling those firms to transform their operations with the most cutting edge of technologies. In its second annual AI in Capital Markets Awards, the group celebrates the technology suppliers in this fast-growing sector…

Greenwashing Data Shows Shift Towards Transition Industries

Greenwashing is on the rise again and shifting notably towards companies that are critical to net-zero investors, exposing assets to severe risk of regulatory and reputational damage. The latest data shows that the total number of incidents in which companies overstated their sustainability achievements or failed to keep to their pledges surged 28% in the…

Modern Data Management Comes to Private Markets Rescue: Webinar Review

Private assets are firmly established as a major focus of financial institutions’ investment strategies, but many still struggle to apply the same technological rigour to their alternative portfolios as they do their allocations to public assets. This is through no fault of their own, and is almost entirely the result of the shortage of quality…

12 Sell-Side Data Management Platforms That are Transforming Capital Markets

Broker-dealers, investment banks and market makers are having to navigate mounting pressure from multi-asset fragmentation, compressed margins and increasingly stringent regulatory demands such as MiFID II and T+1 settlement cycles. Rather than executing sweeping, high-risk lift-and-shift overhauls, financial institutions are focusing on practical evolution: modernising data supply chains, unifying siloed front-to-back systems and replacing brittle…