AI for Financial Markets
AI can help the securities industry face some of the biggest challenges in its history: full digitization of markets, technology-driven disruption, liquidity fragmentation, fee compression, and lower client switching costs, to name a few. At the same time, it is embracing some of its greatest opportunities, made possible by technology: the convergence of data ubiquity, high-speed processing, and the advanced technologies that comprise enterprise AI.
Responsible AI in Financial Markets
Organizations across the financial markets industry are at a unique time and place in their evolution. From full digitization of markets to technology-driven disruption, financial institutions are faced with some of the most complex and dynamic challenges in their history.
At the same time, they are embracing some of their biggest opportunities, many made possible by technology: managing model risk in the face of mounting regulations to proactively monitoring the health of client relationships.
DataRobot works to deliver value to the financial markets industry.
Our customers include 8 of the top 10 U.S. banks and 40% of the top global banks
Financial Institutions are Using Responsible, Explainable AI to Unlock the Art of the Possible
With trusted, explainable AI at its core, AI for Financial Markets delivers high-impact, data-driven results that help financial institutions solve their biggest challenges and stay ahead of the competition.
With automated model governance and monitoring, the speed to validate, deploy, and refresh models becomes a competitive advantage.
Trading & Quants
Turbocharge your model building and expand your problem space by automating the repetitive parts of quant modeling, allowing your modelers to concentrate on adding value with their experience.
Increase the reach of your radar screen by seeking opportunities and improving client engagement with AI.
Leverage AI-driven insights to get the most out of your client and counterparty data.
Improve operational and compliance performance by using sophisticated AI-driven “Smart STP” models to reduce breaks, breaches, and false positives.