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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…

Why Sanctions Compliance Is Becoming an Intelligence-Led Discipline

By Theodora Papadimitropoulou, Head of Global Product Strategy, GTM at Dun & Bradstreet. For years, sanctions compliance was closely associated with a single task, running a counterparty’s name against the relevant lists, checking for a match and acting if required. How much that tells you, though, depends heavily on the provider and the data behind…

Oxane Partners QnA: Growing to Meet the Data Needs of Private Credit Practitioners

London-headquartered Oxane Partners was created by two former Deutsche Bank credit traders a little more than a decade ago to serve the data needs of the then-nascent private credit space. It has grown as the market has broadened. Data Management Insight spoke to managing director Kanav Kalia about the company’s beginnings, its present and its…

S&P Global QnA: Adaptive Retrieval Smooths Data Access and Use

S&P Global Market Intelligence launched Adaptive Retrieval last month, promising to give clients greater flexibility in accessing and using the ratings giant’s data via their large language models (LLMs) and agents. Complementing S&P Global’s existing Deterministic Retrieval tool, which is built on the Kensho LLM-ready API, the latest innovation enables users to query and make…