Data Management Insight Data Architecture & Ops The latest content from across the platform
Upcoming Webinar: The ROI of Data Trust: Quantifying the Business Value of Data Observability
Date: 8 July 2026 Time: 10:00am ET / 3:00pm London / 4:00pm CET Duration: 50 minutes Data is the fuel that keeps modern financial institutions’ motors running but if that data can’t be trusted then the decisions made based upon it, or the uses to which its put, will be compromised. That’s especially important for…
Direct Lending Practitioners Target Large Tech Budget Growth on Data
An overwhelming majority of private credit market practitioners are planning to substantially increase their technology budgets as they seek to address risks that are contributing to concerns about the direct lending sector. The Compass 2026 survey conducted for Oxane Partners – a technology provider for credit and other private markets – found that almost four-fifths…
Institutions’ Data Governance Capabilities Strengthening Amid AI Adoption
Financial institutions are leading the way in strengthening their data governance capabilities as artificial intelligence reshapes the industry, research by the Enterprise Data Management Association (EDMA) found. The study, published in the international organisation’s annual Global Data Management Benchmark Report, found that financial organisations scored the highest, and beat all all other industries, in their…
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…
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…
12 Leading Vendors Operationalising AI & ML with Robust Data Pipelines
The transition of artificial intelligence and machine learning (ML) models from experimental sandboxes to production environments remains a persistent operational friction point. While quantitative researchers and data scientists can often demonstrate alpha in isolated backtesting environments, the institutionalisation of these models requires a level of data pipeline robustness, latency control and regulatory auditability that research…
The ‘More Data Is Better’ Myth
By Edgar Randall, Head of Europe, Dun & Bradstreet. For years, business leaders have been told that data is their greatest asset. Collect more of it, connect more sources, and better decisions will follow. However, as organisations accelerate their investment in AI, analytics and digital transformation, this long-held assumption is starting to be challenged. The…
Modernising Legacy Systems Amid Ageing Infrastructure and Skills Shortages
By Wayne Kiphart, CEO CloudFirst Global. The lack of IT skills globally is widely acknowledged but the problem is particularly concerning when it comes to older systems. As the experts who built these vital platforms retire, younger generations have not been trained in the skills to maintain the infrastructure nor, sadly, have they learnt their…
AI Agents are Rewriting the Future of Banking Data, Says Smartstream
Intelligent semi-autonomous AI agents promise a powerful solution to many challenges with the financial space. But their need for good-quality data is also highlighting the shortcomings that remain within some institutions’ data architectures. This apparent chicken-and-egg situation is one that Thomas Steinborn, chief product and technology officer at Smartstream, believes can only be resolved by…