[AI] Analytics Intelligence

Capital markets firms and data-intensive enterprises are held back by three compounding problems: Apache Spark (the backbone of enterprise big data analytics) was built for general-purpose CPUs that can't handle it efficiently, so every query fights the hardware it runs on; cloud compute costs spiral unpredictably as data volumes grow, leaving firms paying for performance they're not getting; and in the age of AI agents, static dashboards can no longer keep pace, trading desks and quant teams need autonomous intelligence that acts on data in real time, not charts that require manual interpretation.