Data Management Insight Blogs The latest content from across the platform
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…
Drive to Scale AI Makes Trust the Holy Grail of Data Managers: Webinar Preview
The race to implement artificial intelligence at scale within financial institutions’ technology stacks has made it imperative that they ensure their data foundations are solid. Without trusted data, AI is a potential minefield of erroneous outputs, hallucinated responses and inaccurate analyses. This compromises leaders’ ability to make well-informed decisions and poses the risk they’ll make…
Informatica Data Capabilities Drive Salesforce’s Agentic Platform
Informatica’s integration into the Salesforce architecture has proceeded at pace since it was acquired by the customer relationship management software platform last year. The extent of that transformation is being demonstrated in a worldwide Salesforce touring showcase. In the glitzy shows, the role of the artificial intelligence-powered data management specialist’s capabilities within Agentforce – Salesforce’s…
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…
Financial Operations Has an Invisible Tax Problem. AI Is Starting to Fix It
By Neil Vernon, chief product officer at Gresham. The financial services industry has spent considerable energy debating whether AI is production-ready for regulated operations. That debate has been asking the wrong question. Readiness is not the constraint; targeting is. The real question is whether firms have correctly identified where AI can address costs that have…
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…
Closing the AI Gap: Why Financial Institutions Must Move Beyond Pilots to Enterprise-Scale Impact
By Ravi Sidhu, UK&I risk and compliance solutions at Dun & Bradstreet. AI enthusiasm across financial services is at an all-time high, but measurable enterprise-wide success remains elusive. While UK businesses are moving quickly in AI readiness, with 52 per cent already using third-party AI platforms or modern cloud-native infrastructure to deploy AI workloads at…
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…
Data Now Front and Centre of Fixed-Income Trading, Bloomberg Forum is Told
As the operations of buy-side traders and their sell-side counterparts increase in complexity, their data needs have surged. Technology that has made it possible to compress the work they do into shorter time scales and with more effective outcomes, requires large volumes of information that is either generated by their own systems or has to…
The Business Conduct Risk and Data Challenge Behind AI Adoption
Poor data preparation for artificial intelligence deployments is exposing financial institutions to greater business conduct risks that could cost them as much as US$43 million per year, according to new research. An updated report by business conduct data provider RepRisk found that such AI-related incidents are on the rise as applications are rolled out at…