Artificial Intelligence & Machine Learning
82 white papers and resources
Artificial Intelligence & Machine Learning
The Path To Operational Resilience Begins With Reliability And Risk Management
This study will explore the challenges that financial services firms in APAC face in enhancing operational resilience as well as how they plan to leverage data and hybrid cloud in building operational resilience.
Elevating risk management to a strategic partner in investment decision-making
Based on insights from a Risk.net webinar sponsored by S&P Global Market Intelligence, this article explores how risk management is evolving from a compliance role to a strategic partner. It highlights themes such as collaboration with portfolio teams, forward-looking approaches, advanced analytics…
AI in banking and risk management
The financial sector is abuzz with the potential of generative artificial intelligence (GenAI) to revolutionise risk management. This Risk.net special report dives into some of the latest trends and use cases that are transforming this critical function for banks.
Three key drivers of middle-office outsourcing
This white paper examines the growing trend of middle-office outsourcing among asset and fund managers, driven by operational efficiency and cost control. Insights from Hedgeweek’s May 2023 report show that 60% of hedge funds outsource back-office tasks, with 40% outsourcing middle-office functions…
CP+ unveiled: accurate, real-time pricing for global credit and rates markets
Bond markets lack transparency, making it difficult for investors to value bonds and compare prices. This can lead to overpaying or missed opportunities. CP+, a real-time pricing tool for bonds, addressees these challenges by offering data on more than 290,000 bonds and integrating with trading…
Real estate loan origination and monitoring with a macroeconomic-coherent Monte Carlo approach
The paper aims to show how Monte Carlo simulations based on economic scenarios can improve a sector such as real estate, which can be profitable for banks and other financial institutions, but also very risky.
Can financial firms grasp the AI opportunity?
Artificial intelligence (AI) has the potential to transform financial firms’ efficiency, insight and competitiveness. Many organisations already make use of predictive AI in areas such as fraud detection or customer communications. But the launch of generative AI tools has created an explosion of…
Prometeia’s LLM/GenAI Validation Framework
The whitepaper introduces Prometeia's LLM/GenAI Validation Framework, which is a method to validate generative AI models for financial applications.
Driving a modern operational resilience program
Strengthen your operational resilience processes, meet pertinent regulatory requirements in this space, and enhance business continuity practices with the help of high-performance GRC technology.
Stress-testing and capital adequacy in banking: tackling technology challenges
This article builds on the discussions held in a Chartis and Appian webinar, which covered how banks have sharpened their focus on stress tests. These tests, varying in methodology and scope, rely on extensive data from various business lines and asset classes. However, smaller banks still lack…