A-Team Insight Blogs The latest content from across the platform
Data Lineage is Finally Getting the Attention it has Always Deserved, Says Solidatus
For Philip Dutton, chief executive of data lineage specialist Solidatus, operating a business whose data dependencies have no robust lineage controls is like boarding a flight on an aeroplane that has no blueprints. “If they told you they didn’t know how the plane was put together, I’m not sure you’d step on board,” Dutton tells Data…
FCA Sanctions Review Puts Control Evidence at Centre of Screening Debate
The FCA’s latest sanctions review raises the bar for firms to prove that screening systems, data feeds, alert workflows and vendor arrangements work under live sanctions conditions. The review draws on the FCA’s assessment of more than 150 supervised firms since February 2022. It includes examples of good and poor practice across governance, management information,…
Duco Unveils Tool-Surface Architecture to Make Agents Auditable in Post-Trade
In agentic post-trade, explainability remains one of the hardest problems to solve. Agents can already read systems, draft exceptions, propose amendments and assemble workflows. What they have struggled to do – in a way that satisfies a Head of Operations facing a regulator – is leave behind an audit trail that survives scrutiny. Duco’s launch…
Testing an Assumption: Do AI Signals Really Decay?
Alpha decay is one of the foundational assumptions in quantitative finance. The empirical literature, beginning with McLean and Pontiff’s 2016 study of 97 anomalies and replicated and refined across multiple subsequent studies, has repeatedly found that returns degrade out-of-sample and degrade further once published. The assumption sits inside almost every institutional model risk framework as…
Scraping at Scale: Where AI Actually Helps, and Where It Doesn’t Yet
“AI web scraping that doesn’t break” was the title given to a fireside chat at the recent A-Team/Eagle Alpha Alternative Data Conference London – a phrasing that is, on its own terms, aspirational. Pipelines that self-maintain through site changes, schema drift and content shifts remain a destination rather than a current reality, and the session…
AI in Capital Markets Handbook 2026: From Experimentation to Governed Execution
Capital markets firms are under pressure to convert AI experimentation into sustainable business value. The challenge is not simply finding use cases but demonstrating that AI can support regulated workflows through approved data, accountable ownership, measurable outcomes and defensible evidence. A-Team Group’s AI in Capital Markets Handbook 2026 examines that shift across the trade lifecycle….
Video: The Agentic Brokerage – Devexperts’ Jon Light on Why Retail Trading’s Next Platform Shift is Already Underway
According to Jon Light, Senior Director of Product Management at Devexperts, “agentic brokerage” is becoming a loaded term in retail – but the genuinely interesting shift is structural, not cosmetic. Most AI in brokerage today is still assistive: chatbots, market summaries, onboarding tools that respond when prompted and then go quiet. An agentic system stops…
Is the Matching Engine Still the Heart of the Exchange?
A panel at the A-Team Group’s recent ExchangeTech Summit London, titled Setting the matching engine at the heart of the exchange tech ecosystem – Next gen architecture, microservices and cloud migration strategies, positioned the matching engine as the centre of gravity in modern venue architecture. The discussion that followed steadily pulled that centre of gravity…
Institutions’ Data Governance Capabilities Strengthening Amid AI Adoption
Financial institutions are leading the way in strengthening their data governance capabilities as artificial intelligence reshapes the industry, research by the Enterprise Data Management Association (EDMA) found. The study, published in the international organisation’s annual Global Data Management Benchmark Report, found that financial organisations scored the highest, and beat all all other industries, in their…
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…