What’s Included in This Report
Dive into the data compiled from a survey of over 400 financial services professionals—including executives, data scientists, developers, engineers, and IT specialists—from around the world. This year’s results reveal the trends, challenges, and opportunities that define the state of AI in financial services in 2024.
Key Use Cases Driving AI Adoption
See what’s driving AI adoption and what use case claimed the top spot: fraud detection, algorithmic trading, or risk management.
C-Suite Versus Developer Perceptions
Learn how the c-suite views the AI capabilities of their company compared to the developers building the applications.
Biggest Challenges in Achieving AI Goals
Explore the main themes that emerged in the results, including data issues and recruitment of AI experts.
Hybrid, On-Prem, or Cloud Infrastructure?
Understand what’s top of mind for financial services companies as they decide where to host their AI infrastructure.