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Upcoming Webinar: Unlocking Transparency in Private Markets: Data-Driven Strategies in Asset Management

15 October 2025 10:00am ET | 3:00pm London | 4:00pm CET Duration: 50 Minutes As asset managers continue to increase their allocations in private assets, the demand for greater transparency, risk oversight, and operational efficiency is growing rapidly. Managing private markets data presents its own set of unique challenges due to a lack of transparency,…

Upcoming Webinar: End-to-End Lineage for Financial Services: The Missing Link for Both Compliance and AI Readiness

8 October 2025 10:00am ET | 3:00pm London | 4:00pm CET Duration: 50 Minutes The importance of complete robust end-to-end data lineage in financial services and capital markets cannot be overstated. Without the ability to trace and verify data across its lifecycle, many critical workflows – from trade reconciliation to risk management – cannot be…

Upcoming Webinar: The Data-First Enterprise: Fuelling Modernisation in Capital Markets

7 October 2025 10:00am ET | 3:00pm London | 4:00pm CET Duration: 50 Minutes In the face of relentless pressure for speed, cost efficiency, and mandates like T+1 settlement, financial institutions know their biggest risk isn’t a market crash – it’s bad data. When data is fragmented or untrusted, every investment in technology, from hybrid…

Upcoming Webinar: How to organise, integrate and structure data for successful AI

25 September 2025 10:00am ET | 3:00pm London | 4:00pm CET Duration: 50 Minutes Artificial intelligence (AI) is increasingly being rolled out across financial institutions, being put to work in applications that are transforming everything from back-office data management to front-office trading platforms. The potential for AI to bring further cost-savings and operational gains are…

Data Management Summit New York Takes Deep Dive into Modern Data Landscape

The 15th annual A-Team Group Data Management Summit New York City kicks off tomorrow with one theme prominent in the day of discussions, debates and keynote addresses: data quality. Without good quality data organisations can’t hope to achieve their objectives, be they implementation of artificial intelligence applications, automation of essential workflows or compliance with regulatory…

Modern Data Platform Adoption Growth Seen as Benefits Become Apparent: Webinar Review

Take-up of modern data platforms (MDPs) is expected to accelerate in the next few years as financial institutions realise the greater agility, scalability and deeper insights offered by the innovation. Organisations that have so far been relatively slow to adopt the streamlined platforms – because they have been unsure of the technologies’ benefits – will…

AI Governance Frameworks Are Emerging as Applications Abound: Webinar Review

Capital markets leaders are in the early stages of implementing comprehensive artificial intelligence governance frameworks as they begin to realise the challenges as well as the opportunities offered by the technology. As the adoption of AI accelerates it’s becoming apparent that it needs its own set of rules on how it can be effectively and…

Regulatory Data Handbook 2025 – Thirteenth Edition

Welcome to the thirteenth edition of A-Team Group’s Regulatory Data Handbook, a unique and practical guide to capital markets regulation, regulatory change, and the data and data management requirements of compliance across Europe, the UK, US and Asia-Pacific. This year’s edition lands at a moment of accelerating regulatory divergence and intensifying data focused supervision. Inside,…

Growing Modern Data Platforms Adoption Seen as Benefits Become Apparent: Webinar Review

Take-up of modern data platforms (MDPs) is expected to accelerate in the next few years as financial institutions realise the greater agility, scalability and deeper insights offered by the innovation. Organisations that have so far been relatively slow to adopt the streamlined platforms – because they have been unsure of the technologies’ benefits – will…

Recorded Webinar: Hearing from the Experts: AI Governance Best Practices

The rapid spread of artificial intelligence in the financial industry presents data teams with novel challenges. AI’s ability to harvest and utilize vast amounts of data has raised concerns about the privacy and security of sensitive proprietary data and the ethical and legal use of external information. Robust data governance frameworks provide the guardrails needed…