Background Over time, I encountered many different challenges across the financial data world. Although they often appeared to be separate problems, I increasingly found that many could be traced back to the same root cause: financial meaning was fragmented across systems, documents, models, mappings, rules and people. Financial institutions already hold enormous amounts of data … Continue reading AI-Native Financial Data Foundation (38): The Belief, Aim, Principles and Products Behind My Finsight Initiative →

Financial semantics are never finished. Products evolve. Industry standards release new versions. Institutions replace applications, redesign data platforms and introduce new controls. New analytical and AI workflows also require additional context that may not have been anticipated when the original models were created. The challenge is therefore not simply to define financial meaning once. It … Continue reading AI-Native Financial Data Foundation (37): Finsight Semantic Repository: Extensible by Design →

In the previous blog post, we introduced the four semantic layers of the Finsight Semantic Foundation: the Business, Canonical, Physical and Mapping Layers. Together, these layers organise financial meaning across business concepts, industry-aligned models, real-world systems and the mappings that connect them. But defining the layers is only the beginning. We also need a consistent … Continue reading AI-Native Financial Data Foundation (36) — Five Ontology Elements Applied in Financial Services →

In the previous article, I introduced the high-level overview of the Finsight Semantic Foundation. The foundation consists of two main parts: the Semantic Model and the Semantic Repositories. This article focuses on the first component: the Finsight Semantic Model. The model is organised into four connected layers: the Business Layer, the Canonical Layer, the Physical … Continue reading AI-Native Financial Data Foundation (35): From Business Meaning to Physical Data — The Four Semantic Layers →

In the previous article, I discussed several characteristics of financial services that need to be reflected in ontology modelling, particularly in capital markets and FICC. Financial products are contractual and compositional. Trades evolve through lifecycle events and changing states. Meaning depends on roles, context, provenance and time. The same business object may also appear in … Continue reading AI-Native Financial Data Foundation (34) – Overview of the Finsight Semantic Foundation →