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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…
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, Nexis Solutions – LexisNexis, 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…
AI in Capital Markets Handbook 2026
AI adoption in capital markets has moved into a more disciplined phase. The priority is now controlled deployment: where AI can be used safely, where it can deliver measurable value, and how outputs can be governed, monitored and evidenced. The 2026 edition of the AI in Capital Markets Handbook examines how AI is being applied…
Data Governance Underpinnings of AI Still Lacking Says EDM Association
The EDM Association’s 2026 Global Data Management Benchmark Report states that organizations including financial institutions are increasing investment in artificial intelligence while failing to build the necessary data and governance foundations. The findings are based on a survey of more than 435 organizations across more than 50 countries. President of the EDM Association John Bottega…
Financial Institutions Among Targets for Motif’s AI-led Wealth Data Platform
Artificial intelligence wealth advisory company Motif has launched an artificial intelligence financial intelligence system called Clarity, which tracks links between markets, assets and financial relationships alongside how and why they alter over time. Financial institutions can combine the platform into products to allow customers to make investment decisions, whilst analysts and product teams can use…
Arcesium Adds AI-led Arcesium Intelligence to Platform
Arcesium has embedded Arcesium Intelligence, an artificial intelligence platform for institutional investment, into its data management and operations platforms to enable firms to deploy automated workflows. Users can access a library of more than 100 pre-configured agents or build custom applications using a self-service development platform. The platform gives firms the control, context and flexibility…
Data Reconciliation Hurdles Seen Holding Back Innovation
End-of-day reconciliation processes create data challenges that are constraining buy-side firms from achieving efficiencies from new technologies and AI initiatives. The challenges posed by reliance on long-established reconciliation processes come as the buy-side undergoes a transformation of its operating models to accommodate new data management, investment and settlement strategies. This challenge was highlighted in a…
73 Strings QnA: Solving Post-Investment Data Challenges for Private Markets
Paris-based startup 73 Strings was established to modernise the data and valuation infrastructure for private market participants. Data Management Insight spoke to founder and chief executive Yann Magnan about the company’s operations and its ambitions. Data Management Insight: Hello Yann, when was 73 Strings created and how does it serve financial institutions? Yann Magnan: We…
AI In Financial Services: Where The Real Challenges Are Starting to Emerge
By Joe Norburn, chief executive of TCC and Recordsure. Across financial services, AI is now embedded in day?to?day activities, from fraud detection and onboarding to credit assessment and customer interaction. The UK Treasury Select Committee’s recent inquiry reflects just how widespread that adoption has become, especially among larger institutions. What stands out is not that…