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The Integrated Data Overlay Approach to Solving Banks’ Data Challenges
Banks are under intense pressure from a variety of quickly evolving trends. Clients want more from them; market volatility is challenging their trading strategies; and regulator scrutiny is deepening. In response, regional banks and large banking organizations (LBOs) are offering more products to clients and promising ever-more automated access to a greater array of asset…
Rush to Build AI into Risk Models Creating Dangerous Capability ‘Gaps’
Asset managers may be exposing themselves to operational vulnerabilities as they rapidly integrate artificial intelligence and agents into their risk management systems, often without first ensuring trust in the data that will feed the models. A survey found that three-quarters of 178 senior investment leaders questioned said they expect the pace of AI and agents…
Data Quality Meaning and Importance Transformed by AI: DMS NYC Preview
The data management space has been transformed by artificial intelligence into one that not only seeks to prise maximum value from institutions’ data but also spends almost as much resource ensuring the quality of that information. Without optimised data, the AI and agentic tools to which it is deployed will churn out sub-optimal results. It’s…
Recorded Webinar: Building a Semantic Layer for Your Enterprise Data Estate
The democratisation of data has encouraged engineers to think about how to make their data estates more accessible and useable for non-technical business end-users. Translating intention into data action requires careful configuration that enables consumers to mine insight, analytics and value without having to use precise technical terminology. Data engineers achieve this through semantic layers,…
Regulatory Data Handbook 2026 – Fourteenth Edition
Welcome to the fourteenth edition of A-Team Group’s Regulatory Data Handbook. Supervisors increasingly expect firms to demonstrate which rules apply, which data supports each obligation, who owns the control and how exceptions are identified and resolved. Policies and implementation programmes must now be supported by records that can withstand regulatory scrutiny. This edition examines material…
CDOs Play Increasingly Vital Role in Driving and Safeguarding AI Transformation: DMS NYC Preview
Modern chief data officers (CDOs) – and, more recently, chief data and analytics officers (CDAOs) – have an unenviable task. They are the gatekeepers of their organisation’s chief asset; its digital information. In the age of artificial intelligence, the importance of their role has been elevated and made more complex as the risks posed by…
Taming Data Complexity Through Semantic Layers: Webinar Preview
The complex data needs of modern financial institutions requires a level of technical mastery that is beyond the talents of most members of their workforces. Artificial intelligence and agentic automation, in particular, have hastened that evolution to such a degree that without such mastery across the enterprise, organisations leave themselves competitively vulnerable. The solution to…
15 Software and Data Vendors Solving Valuation, Integration and Reporting in Alternative Investments
The secular shift towards private markets has transformed alternative asset allocations from an institutional tactical sleeve into a core portfolio driver. Yet behind this expansion lies a stubborn operational bottleneck: alternative asset data remains inherently unstructured, fragmented and delayed. Unlike public equities, where standardised data feeds integrate seamlessly into order management systems, private market data…
EU AI Act Puts AI’s Underlying Data Problems In The Spotlight
By Sarva Srinivasan, Global Head of Strategies at NeoXam Americas Another important part of the EU AI Act has come into play – with Article 50 introducing transparency obligations for certain AI systems, requiring organisations to disclose when users are interacting with AI. Now much of the discussion around these requirements has tended to focus…
Rimes Configures Capabilities into New Fabric to Scale AI Data Workflows
Rimes has built out its data management and investment intelligence offering to give clients a new unified suite of capabilities that can accelerate and scale their artificial intelligence-powered data and workflows. Intelligence Fabric for Capital Markets adds new functionality to the New York-headquartered company’s services, seeking to meet the increasingly complex data needs of asset…