With global trading volumes rising rapidly each year, capital markets firms are increasingly using large and diverse datasets to accelerate strategy development, enhance execution, streamline risk management, and optimize post-trade processes.¹ This increase in data creation and utilization, coupled with the accelerating velocity of decision-making, drives greater competition and creates new opportunities within the industry. To remain competitive, capital markets firms are improving their ability to gain insights from new and existing datasets and are transforming their businesses to accelerate innovation and optimize costs.
As the end-to-end process directing liquidity flows and risk management, the trade lifecycle is foundational for capital markets firms, and its modernization is critical in this rapidly transforming landscape. Capital markets firms are leveraging the cloud with Amazon Web Services (AWS) across the trade lifecycle to drive enhanced analytics and accelerate insights with cutting-edge technologies. For example, our customers are using artificial intelligence (AI), machine learning (ML), and generative AI to streamline development and testing, build new products, and remove capacity constraints for their grid-computing needs. By accessing near-limitless compute, investing in modern data architectures, and developing cloud expertise, capital markets firms are positioning themselves to drive efficiency and precision in their pre-trade, at-trade, and post-trade activities.