Kx Systems has forged a relationship with the London Stock Exchange that will allow institutions to use Kx’s data analysis capabilities to test trading strategies using LSE historical trade and quote data. Kx has had a similar arrangement with the New York Stock Exchange for several years.
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,...
The race to implement artificial intelligence at scale within financial institutions’ technology stacks has made it imperative that they ensure their data foundations are solid. Without trusted data, AI is a potential minefield of erroneous outputs, hallucinated responses and inaccurate analyses. This compromises leaders’ ability to make well-informed decisions and poses the risk they’ll make...
Now in its second year, the AI in Data Management Summit NYC explores what changes when AI becomes part of the data management operating model.
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...