A-Team Insight Author: peter
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...
Broadridge Moves Agentic AI from Roadmap to Institutional Scale Product
Broadridge’s recent announcement that its agentic AI is live in production across more than 40 clients signals a move from capability disclosure to commercial commitment. The firm is now offering two consumption models: a managed services arrangement where Broadridge runs operations end-to-end with the agentic layer on top, and a standalone deployment of the same...
Where is the Edge When Everyone Has the Same Alt Data?
Has the institutional alternative data market reached a phase in which the easy sources of edge have closed? Datasets that once generated standalone alpha are widely distributed, the AI tooling layered on top of them is increasingly commoditised, and the differentiator has migrated to a less glamorous middle ground: validation, transformation, kill criteria, and the...
Build, Buy, or Both? Why the Real Question for Quant Infrastructure Has Shifted to Where the Edge Sits
The questions have become perennial: build versus buy, cloud versus on-premise, in-house versus managed platform. But the discussion that emerged from a recent A-Team Group webinar on quantitative research infrastructure pointed to something more interesting than a binary choice. The build-versus-buy question, panellists agreed, has matured into a more sophisticated conversation about where firms locate...
Clean Data Is Not Enough to Power AI
By Shai Popat, managing director, product and commercial strategy, financial information, SIX. Agentic AI projects are beginning to roll out across the financial industry. Many firms are testing AI’s feasibility by assigning it relatively simple tasks, such as summarising information or retrieving data and documents from internal databases. Two maxims are often cited when discussing...
LexisNexis Q&A: Ensuring Data Trust, From News to Governance
Since the 1970s, LexisNexis has been providing a variety of data services to financial institutions. Data Management Insight spoke to Danielle McCormick, vice president of product, Global Nexis Solutions, to discuss how financial institutions are approaching AI, trusted data and the future of enterprise intelligence. Data Management Insight: Hello Danielle, when were LexisNexis’ data operations...
European Market Structure’s Unfinished Business, Mapped
Two decades after MiFID I set out to introduce competition into European equity markets, the regulatory project has reshaped market structure without finishing the job it was meant to do. That, at least, was the thesis put to the opening panel at A-Team Group’s inaugural ExchangeTech Summit London earlier this month, entitled “Navigating the European...
Why MSCI’s PM Insights Acquisition Matters for Private Market Valuation
The assumption that private companies can be reliably valued through reference to their public-market peers is breaking down at exactly the moment a market-derived alternative is becoming viable. That structural shift – more than the transaction itself – is what makes MSCI’s acquisition of PM Insights, announced six weeks ago, worth paying attention to. A...
Is the Most Expensive Failure Mode in Alt Data on the User Side?
Asked at the A-Team/Eagle Alpha Alternative Data Conference, London last week which datasets his firm had ever taken out of production, one panellist paused, considered the question, and admitted he could not think of a single one. The answer was offered without defensiveness, as a genuine reflection. It also turned out to be one of...
AI in Compliance Recording: Five Questions Firms Need to Answer Now
For capital markets firms, the regulatory communications archive has become more complex as trading and client interactions now span voice, chat, collaboration tools, mobile channels and more, requiring firms to capture, structure, retain and evidence a fuller communications trail across fragmented systems. This complexity is forcing firms to look beyond recording as a retention obligation...