In this forward-looking discussion, we explore how AI is transforming market data and the future of financial services. As autonomous AI agents emerge as a new consumer of financial data, the need for clean, licensed, and standardized data infrastructure becomes critical to avoid the amplified “garbage in, garbage out” problem.
The conversation highlights how fragmented data, excessive prompt engineering, and unreliable sources create risk, and why interoperable APIs and governed data pipelines are essential for enterprise AI adoption.
Looking ahead, the we introduce the concept of generative UX, where financial front ends are dynamically assembled by AI based on user intent, enabling real-time insights, mass customization, and a potential shift away from traditional terminal-based models.
Have a vision? Tell us what you’d like to build and one of our experts will get back to you.
