Challenged by legacy systems, less than ideal workflows and high costs, front-office trading teams lack the ability to adapt to clients’ evolving needs around integration, speed and multi-asset capabilities. They are also challenged by a capital markets environment characterised by legacy systems, shrinking margins and increased regulatory scrutiny. While these problems cause considerable friction in...
Poor data preparation for artificial intelligence deployments is exposing financial institutions to greater business conduct risks that could cost them as much as US$43 million per year, according to new research. An updated report by business conduct data provider RepRisk found that such AI-related incidents are on the rise as applications are rolled out at...
Now in its 9th year, the Eagle Alpha Alternative Data Conference managed by A-Team Group, is the premier content forum and networking event for investment firms and hedge funds.
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...
