Artificial intelligence has taken centre stage as the foundation of next-generation payments and risk infrastructure, according to discussions at the Singapore FinTech Festival 2025. Industry leaders, regulators, and technology innovators highlighted that AI is no longer a support tool but Read More …
Tag: Machine learning
AI emerges as the new control layer for payments and risk at Singapore FinTech Festival 2025
Retrofitting AI into Model Risk Management is Key to Reg AI Adoption
As artificial intelligence (AI) and machine learning (ML) become integral to compliance and regulatory functions, many organisations now recognise the need to apply model risk management (MRM) frameworks retroactively. According to Kevin Lee of Cygnus Compliance Consulting, the “risk footprint Read More …
AI model risk management market to hit $15.03B by 2033: SNS Insider
The global AI model risk management market is projected to reach USD 15.03 billion by 2033, growing at a CAGR of 18.8% from 2023 to 2033, according to a new report by SNS Insider. This surge is attributed to the Read More …
How Financial Services Firms Can Tackle AI Model Risk
A recent blog on Financial IT explores the growing concern of model risk in financial services, especially with the rapid adoption of AI and machine learning models. As financial institutions integrate AI into credit scoring, fraud detection, and portfolio optimization, Read More …
Case Study: Artificial Intelligence and Machine Learning Risks – Addressing Algorithm Biases
Executive Summary This case study examines a major challenge faced by a global hiring platform that utilized Artificial Intelligence (AI) and Machine Learning (ML) algorithms for candidate screening and recruitment. The algorithms, designed to automate and enhance hiring efficiency, were Read More …
Approach to Risk Management Uses Knowledge-Based Artificial Intelligence
This paper details experiences gained while developing a novel technology-driven approach to risk assessment methodologies such as process hazard analysis, hazard identification, and hazard operability in oil and gas. From a technology perspective, the advent of AI has often Read More …
How Enterprises Can Combine Decision Automation, Machine Learning And Process Automation For Better Business Results
Every day we hear about new ways automation is transforming businesses and customer-facing applications – for example, insurance claims processing or automated retail support services. It’s no surprise recent estimates forecast enterprise AI spending is expected to reach $500 billion by 2024. Read More …