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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…
Robust Data Management Still the Silver Bullet for AI Challenges
As the maturity of artificial intelligence applications evolves, financial institutions are finding that the solution to the challenges associated with the technology of data quality and trust can be found in data management. Guaranteeing good outcomes from their models requires that organisations feed them good data, and the only way to ensure that is through…
Fitch Opens New Chapter with Data Distribution and AI Strategy
Fitch Solutions’ recent extension of its distribution strategy to include a presence on Snowflake is the first step in a programme of leveraging the company’s huge cache of credit ratings and research data. The move, which saw Fitch add its core credit ratings products on Snowflake Marketplace earlier this year, will be followed by other…
Synechron-Cognition Collaboration Seeks to ‘Shift Paradigm’ in Software Creation
The race to harness artificial intelligence to create data products and software for financial institutions is at the heart of a collaboration between consultancy Synechron and technology developer Cognition. New York-headquartered Synechron, which has longstanding expertise in providing software solutions that financial organisations use to transform their operations, has embedded Cognition’s Devin agentic engineering platform…
Alteryx QnA: Automating Data and Analytics Transformations
California-based Alteryx has been helping financial institutions solve complex analytical tasks for more than a quarter of a century. Data Management Insight spoke to Jon Pexton, chief financial officer, to find out what drives the company and how its services benefit its clients. Data Management Insight: Hello Jon, when was Alteryx created and how does…
12 Companies Bridging Agentic AI and Data Management in Capital Markets
The friction inherent in mobilising data is a perennial problem for financial institutions, who have spent the last decade perfecting the passive data stack – investing heavily in cloud warehouses, governance frameworks and ETL pipelines designed to move data for human consumption. However, the operational reality remains plagued by manual intervention. Recent developments in agentic…
Testing Industry Perceptions at Data Management Summit London
Every year at the A-Team Group Data Management Summit we take the pulse of the financial data and tech industry on a range of critical topics of the day. We do this through audience participation questions during the day-long event, urging delegates to interact with speakers and other participants via remote voting on salient questions….