AI and machine learning
Revolutionising compliance: next-gen technology for new-age regulation
A whitepaper exploring prevailing compliance challenges and the implications of regulatory changes on data and reporting technology, and outlining the opportunities these changes present for financial institutions
Derivatives pricing with AI: faster, better, cheaper
Pascal Tremoureux, head of quantitative research at Murex, describes the firm’s mission to replicate derivatives pricing models through machine learning – slashing time and costs in the process
AI in banking risk management: exploring latest trends and use cases
The financial sector is abuzz with the potential of GenAI to revolutionise risk management. This Risk.net special report dives into some of the latest trends and use cases transforming this critical function for banks
AI and automation in financial crime: elevating compliance and data management
This webinar explores how AI, process automation and strategic data management can transform your data and compliance landscape in the fight against financial crime
Advancing risk management using new data techniques
This webinar shares best practices on how risk management can be improved and insights on how risk managers can use big data to improve risk modelling
Can financial firms grasp the AI opportunity?
How financial firms are integrating AI as part of their digital transformation journeys
Risk management strategies for revenue maximisation in financial services
A white paper discussing proactive risk management in financial services, focusing on automated solutions and artificial intelligence/machine learning technologies to enhance revenue assurance and operational efficiency
LLM integration: Special report 2024
This report delves into the nuanced deployment of LLMs in the financial sector, exploring their application in day-to-day operations, model governance, and the challenges of implementation
CompatibL AI: at the forefront of change within the financial industry
The ongoing revolution in AI offers tangible benefits in risk management and financial trading. By leveraging CompatibL AI, institutions can overcome the limits of LLMs and gain accuracy, efficiency and better handling of natural language documents,…
The fine line with LLMs: financial institutions’ cautious embrace of AI
The integration of large language models (LLMs) has emerged as a pivotal force reshaping industry practices, while redefining how banks and asset managers operate in an increasingly complex environment. Here, industry experts discuss the multifaceted…
In search of clean data: firms navigate data challenges as LLM adoption flourishes
This WatersTechnology rapid read report explores the transformative potential of LLMs in financial services, offering insights into the evolution, challenges and positive impacts on decision-making processes in capital markets
Can ChatGPT unlock better investment portfolio selection?
This white paper explores the potential uses of generative AI models, such as ChatGPT, for investment portfolio selection.
AI in risk management: one giant leap forward or a risk too far?
As technology advances at lightning speed, AI brings its own, not inconsiderable, risks. How, then, are today’s risk managers using AI tools to their best advantage – and what threats do they face along the way? In a Risk.net webinar, sponsored by FIS,…
S&P Global Market Intelligence RatingsDirect® leverages AI for more precise insights in volatile markets
Zoi Fletcher speaks to Clemens Thym, S&P Global Market Intelligence, about how his team is enhancing RatingsDirect® with AI and adding value with ratings research
Navigating the adoption of generative AI
This white paper, created by Xoriant, focuses on generative artificial intelligence (AI) and its potential to transform the way financial services firms operate, make business decisions and innovate.
Revolutionising credit decisioning in digital banking: harnessing AI/machine learning, LLM and alternative data sources
This webinar explores how financial institutions can leverage artificial intelligence, machine learning, large language models and alternative data sources, including open banking data, to modernise credit risk assessment and application fraud prevention
Empowering risk management with AI
This webinar explores how artificial intelligence (AI) can strip out the overheads and effort of rapidly modelling, monitoring and mitigating risk
Model risk management is evolving: regulation, volatility, machine learning and AI
Thomas Oliver, head of model validation at Quantifi, explores how the model risk management (MRM) landscape is changing in response to geopolitical uncertainty, increased concerns over counterparty risk, rising interest rates and other related challenges
Machine learning and AI in model risk management: a quant perspective
Statistical risk models face issues of validity as unprecedented events and social phenomena occur. However, artificial intelligence (AI) and machine learning can assist models in maximising accuracy. By Tiziano Bellini, head of risk integration…
Front-office reboot: how new technology, machine learning and data science are reshaping trading
With increasing regulatory scrutiny and market volatility, trading desks are seeking tools to help improve operational efficiency, streamline decision making and successfully manage risk. In this Risk.net webinar, viewers will learn about the front…