Data Management Insight Blogs The latest content from across the platform
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…
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…
Ataccama Signals Product Focus with New CEO Appointment
Ataccama has appointed its former chief technology officer Martin Zahumensky as its new chief executive in a move that highlights the company’s focus on products in the next few years. Zahumensky replaces Mike McKee, an operations-oriented leader who had sat in the top seat since 2023 and helped to drive the Boston-based data trust company’s…
The Next Frontier in Best Execution Is The Data Layer
By Arun Sundaram, head of commercial data and analytics, LMAX Group. Best execution was once about securing the strongest possible result for clients on an individual trade. Over the past few decades, the industry has become much better at measuring that outcome through fill rates, slippage and rejection ratios. But the next frontier isn’t the…
Data Firms Responding as AI Seen Driving Sovereignty Concern
While the criticality of data to financial institutions has made its security paramount, the internationalisation of that information has made it a strategic priority. With ever greater volumes of data criss-crossing the world within and between organisations’ systems, data sovereignty has become a key component of governance policies required by regulators. Once considered relevant to…