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Upcoming Webinar: Taming the Private Markets Data Beast: Solving for Valuation, Integration, and Reporting in Alternative Investments
Date: 7th October 2026 Time: 10:00am ET / 3:00pm London / 4:00pm CET Duration: 50 minutes Institutional activity in private markets has surged as organisations’ traditional investment theses have been upended by global economic volatility, geopolitical instability and fee compression. In their search for better risk-adjusted returns, they have found a rich seam of alpha…
Oxane Partners QnA: Growing to Meet the Data Needs of Private Credit Practitioners
London-headquartered Oxane Partners was created by two former Deutsche Bank credit traders a little more than a decade ago to serve the data needs of the then-nascent private credit space. It has grown as the market has broadened. Data Management Insight spoke to managing director Kanav Kalia about the company’s beginnings, its present and its…
Bloomberg Acquisition of Canoe Marks ‘Major’ Step in Private Markets for Data Behemoth
Bloomberg is to acquire private market data automation specialist Canoe Intelligence as the financial data behemoth seeks to expand its offerings in the booming market for alternatives data. In what the company says is one of the most significant deals in its history, Bloomberg has characterised the acquisition as the “latest step” in a multi-year…
GoldenSource Scout Launched to ‘Close Data Trust Gap’ Using AI
Data management provider GoldenSource has entered the next phase of its evolution with the launch of GoldenSource Scout, an AI platform for capital markets built on the firm’s Trusted Contextual Data Layer, which grounds enterprise AI in governed, canonical data. The launch marks a significant shift towards AI within the firm’s data management ecosystem. Swati…
Recorded Webinar: The Data Office at a Crossroads — AI Governance, Organisational Design, and the Evolving Mandate of the CDO
Who owns AI governance in a capital markets firm – and is the Data Office structured to bear that weight? These questions sit at the heart of A-Team Research’s latest findings, presented here for the first time: the combined results of two landmark surveys examining the role of the Data Office in AI governance and…
Why Private Markets Need Numbers They Can Defend
By Gareth Hewitt, Founder, LemonEdge. Private markets run on confidence. Performance still matters but investor trust increasingly depends on whether a general partner (GP) can defend the numbers behind it and whether a limited partner (LP) has enough transparency to test and reconcile those numbers for itself. A capital account balance, valuation movement, fee calculation…
A-Team Group Announces Capital Markets Technology APAC Awards 2026 Winners and Launches ‘State of the Market’ Report
A-Team Group today announced the highly anticipated winners of the Capital Markets Technology APAC Awards 2026. These prestigious awards celebrate the most innovative solution providers and financial institutions that are reshaping the capital markets technology landscape across the dynamic Asia Pacific region. In conjunction with the awards, A-Team Group has also launched the “State of…
MCPs in Data Management: A Fundamental Shift in Scaling AI
The breakneck development of artificial intelligence tools and applications is visible in the rapid emergence every six months or so of “the next big thing”. Generative AI was the big thing two years ago, agents were the big thing last year and this year it’s the turn of Model Context Protocols (MCPs). Attracting the “game…
Data Challenge in Private Credit Highlighted by FSB and Experts
The Financial Stability Board’s (FSB) call for better data provisions within private credit has highlighted a gnawing pain in the side of the rapidly growing market. The global watchdog, which was formed after the global financial crisis to help ensure another recession didn’t happen, partly blamed the lack of visibility into the loans and assets…
Agentic AI’s Data Quality Imperative: AI in Capital Markets Summit Review
Artificial intelligence agents are not only changing the way organisations deploy new technology, they are also throwing new challenges to data managers as the autonomous structures place new demands on their infrastructure. It’s not enough that AI needs good-quality data to generate and perform the most accurate and safest outputs; agents are also prompting a…