What does the AI landscape look like when the lens is focused on the top 10 AI visionaries under 30? Expanding onto these success stories...

There are many developments concerning AI products that rattle the markets such as DeepSeek unveiling, , allegations of cheating ,...

A thought-provoking question: “Can a machine make a fair hiring decision? As financial services firms are increasingly turning towards...

Welcome to the first RiskInfo.ai Monthly Regulatory Newsletter! These updates highlight evolving AI governance frameworks, enhanced...

The financial services industry is undergoing a significant transformation, driven by advancements in Artificial Intelligence (AI),...

Artificial Intelligence (AI) is a general purpose technology with applications in practically every industry and is expected to...

The Monetary Authority of Singapore (MAS) has just released a comprehensive Information Paper on Artificial Intelligence Model Risk Management (AI MRM) . With financial institutions increasingly integrating AI into their operations—including the rapidly evolving generative AI technologies—this guidance arrives at a critical juncture. MAS’s key message is clear: while AI offers immense opportunities to drive innovation, improve efficiency, and enhance customer experiences, it

The rapid advancement of Artificial Intelligence (AI) and robotics is reshaping industries at an unprecedented pace. This technological...

In today’s fast-evolving financial landscape, structured lending connects capital with need, managing risk with precision. This post kicks off a new series—developed with the help of AI tools—that explores the mechanics of structured lending, its key products, and the game-changing role of technology in the sector. Overview of Structured Lending Structured lending is a creative financing tool designed to meet unique borrowing needs, typically backed by specific collateral lik

Did you know that organizations today can easily identify over 500 distinct risk types in their libraries? Add to this the complexity of overlapping control matrices, hundreds of policies, and SOPs that read like novels. As businesses grow, risk landscapes also evolve—from startups requiring agility to mature organizations contending with intricate ecosystems and complexities. Simplification and Integration: The Core Challenges The true challenge of risk management lies in si

No legacy systems, no “that’s how we’ve always done it,” and absolutely no pre-existing constraints. Just a blank screen, a fresh...

Financial crime detection has evolved dramatically over recent years, driven by advances in artificial intelligence (AI) and machine...

The upcoming United States presidential election can have a significant effect on the shape of banking regulations, with potential ripple effects across the global financial sector. The contrasting philosophies of the candidates with respect to regulations could result in distinctly different paths forward for financial institutions worldwide. Divergent Regulatory Approaches Potential Deregulatory Trajectory A Trump administration would likely pursue a deregulatory agenda, re

We examine the imperative of establishing stringent AI regulations in the healthcare industry, focusing on the ethical, legal, and safety challenges brought about by AI's transformative impact on areas such as diagnostics and personalized treatments. The healthcare industry stands at the precipice of a revolution driven by artificial intelligence (AI). From medical diagnosis and treatment to drug discovery and personalized care, AI promises to transform healthcare delivery a

The manufacturing industry, long an engine of economic growth, stands at the precipice of a paradigm shift. Artificial intelligence (AI) is rapidly transforming production processes, promising unprecedented efficiency, automation, and innovation. However, amidst the excitement, a shadow of risk lurks, demanding careful consideration. Innovation at a Cost: AI-powered robots with superhuman precision, self-optimizing production lines, and predictive maintenance algorithms offe

We examine the diverse facets of AI adoption across multiple sectors, highlighting their unique challenges. Additionally, we provide notable examples of AI application in each sector, illustrating its transformative impact. Artificial intelligence (AI) is rapidly transforming virtually every sector of the economy, from healthcare and finance to manufacturing and transportation. Its ability to automate tasks, optimize processes, and generate insights is driving unprecedented i

President Biden issued an executive order on 30 th October titled "Advancing Responsible Development and Use of Trustworthy Artificial Intelligence" that addresses the governance of AI technologies across various sectors, including financial services. This directive focuses on both fostering AI innovation and managing associated risks. The order was issued just prior to the AI Safey Summit in the UK and was also released before the final text of the EU AI Act. It is important

The upcoming EU AI Act aims to regulate AI systems used within the European Union across sectors. As a critical infrastructure, the...

In this blog post, we delve into the complexities of managing artificial intelligence (AI) initiatives within organisations. From...

In the second instalment of our AI management series, we explore the strategic integration of artificial intelligence into existing...