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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,...
As alternative data becomes more deeply embedded in investment research and quantitative models, the quality of a dataset is increasingly about more than its size. Coverage and granularity remain important, but so too does the ability to maintain a consistent, representative signal as underlying data sources and panels evolve. That challenge is central to the...
Your Gateway to the Alternative Data Ecosystem. Now in its 8th year, the Eagle Alpha Alternative Data Conference, managed by A-Team Group, is the premier content and networking forum for investment firms and hedge funds using alternative data.
AI adoption in capital markets has moved into a more disciplined phase. The priority is now controlled deployment: where AI can be used safely, where it can deliver measurable value, and how outputs can be governed, monitored and evidenced. The 2026 edition of the AI in Capital Markets Handbook examines how AI is being applied...