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The Business Conduct Risk and Data Challenge Behind AI Adoption
Poor data preparation for artificial intelligence deployments is exposing financial institutions to greater business conduct risks that could cost them as much as US$43 million per year, according to new research. An updated report by business conduct data provider RepRisk found that such AI-related incidents are on the rise as applications are rolled out at…
MCPs in Data Management: Bringing New Order to Private Markets
Financial institutions have begun deploying Model Context Protocols (MCPs) as they have expanded the use of artificial intelligence applications and agents. The technology developed by Anthropic is an open-source contextual layer that helps coordinate models and data, enabling AI applications to connect with a multitude of other platforms and processes. In the first of a…
Direct Lending Practitioners Target Large Tech Budget Growth on Data
An overwhelming majority of private credit market practitioners are planning to substantially increase their technology budgets as they seek to address risks that are contributing to concerns about the direct lending sector. The Compass 2026 survey conducted for Oxane Partners – a technology provider for credit and other private markets – found that almost four-fifths…
Top 13 Client Onboarding Solutions in Capital Markets
Streamlining the Onboarding Lifecycle: A Comparative Analysis of 13 Leading Capital Markets Solutions For institutional broker-dealers, asset managers and investment banks, client onboarding has transitioned from a straightforward administrative function into a complex operational bottleneck. The combination of fragmented global regulatory mandates, ultimate beneficial ownership transparency laws and multi-jurisdictional compliance protocols has steadily increased the…
Private-Market Investors Don’t Need to Wait for ‘Perfect’ AI Data, says JMAN
The shorter investment lifecycle of private-market investments has made it necessary for participants to access analytics and other data-led processes at speed. The obvious focus in achieving that has been on developing artificial intelligence applications. But piloting initiatives on evolving models can take time. Organisations want to test their applications to know they will work…
ABBYY Q&A: Bringing Intelligence to Document Processing
ABBYY is an artificial intelligence-powered document processing tools provider that was formed in Soviet Russia in 1989 and relocated to the US nine years later. Data Management Insight caught up with chief executive Ulf Persson to find out more about the company and its plans. Data Management Insight: Hello Ulf, how was ABBYY begun and…
Encompass Updates Digital Identity Service to Eliminate Stale KYC Data
More than a decade of Know Your Customer (KYC) regulations has left financial institutions with a potential time bomb in their data systems. Outdated and legacy onboarding data has the potential not only to lead to erroneous decision making but also potentially crippling fines from compliance breaches. There are many reasons why KYC data might…
12 Companies Bridging Agentic AI and Data Management in Capital Markets
The friction inherent in mobilising data is a perennial problem for financial institutions, who have spent the last decade perfecting the passive data stack – investing heavily in cloud warehouses, governance frameworks and ETL pipelines designed to move data for human consumption. However, the operational reality remains plagued by manual intervention. Recent developments in agentic…
Testing Industry Perceptions at Data Management Summit London
Every year at the A-Team Group Data Management Summit we take the pulse of the financial data and tech industry on a range of critical topics of the day. We do this through audience participation questions during the day-long event, urging delegates to interact with speakers and other participants via remote voting on salient questions….
The Case Against Ripping and Replacing: Why Capital Markets Firms Should Build Intelligence Into What They Already Have
By Neil Vernon, Chief Product Officer, Gresham. For years, capital markets firms have faced the same challenge: modernising sprawling, legacy data systems. Each attempt follows a familiar pattern – ambitious platform overhauls, eight-figure budgets, years of disruption – yet the old systems often remain in use long after the new ones are live. Replacing systems…