Metamako

Recorded Webinar: Building a Semantic Layer for Your Enterprise Data Estate

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,...

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AI in Finance Requires Developing the Right Operational Mindset

By Carl Thornberg, Head of Optimisation and Analytics Technology at OSTTRA. Integrating AI into the finance sector requires navigating a robust regulatory landscape designed to ensure stability and security, a process that demands a deliberate and meticulous approach to technology adoption. To build confidence for experimentation with this not-yet-fully-understood technology, essential safety nets must be...

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Data Management Summit New York City

Now in its 16th year, Data Management Summit (DMS) NYC returns on September 17th 2026, to explore how to use data and AI to drive measurable business outcomes – reliably, repeatedly and at scale.

Alternative Data in Capital Markets Handbook 2026

Alternative data adoption in capital markets has moved into a more disciplined phase. Simply possessing a dataset is no longer a differentiator – the priority now is how data is sourced, synthesised and deployed, and how quickly granular, disaggregated signals can be turned into validated, decision-ready insight. The 2026 edition of the Alternative Data in...