Quantexa, a provider of decision intelligence solutions, plans to invest an additional £125 million in AI over the next three years to help clients advance the use of AI to protect, optimise, and grow their organisations. In line with the investment, the company has previewed its generative AI technology, Q Assist, and says it will further develop its AI stack to offer industry-specific use cases for sectors including financial services.
Data is the fuel that keeps modern financial institutions’ motors running but if that data can’t be trusted then the decisions made based upon it, or the uses to which its put, will be compromised. That’s especially important for data that’s fed into artificial intelligence models. If the data isn’t clean, accurate and complete, then...
Huge swaths of critical financial information, from private credit agreements and ESG disclosures to complex tax documentation, is locked in unstructured formats such as digital documents and PDFs. The manual bottleneck this creates for the middle and back office eats into valuable resources. A key means to achieving this, Intelligent Data Processing (IDP), represent a...
Our TradingTech Summit in New York is aimed at senior-level decision makers in trading technology, electronic execution, trading architecture and offers a day packed with insight from practitioners and from innovative suppliers happy to share their experiences in dealing with the enterprise challenges facing our marketplace.
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...