Article ID: 3e6b0c1b150872e27c34fc4c070769089a5f9d86a58cf04cb62d788c3ff69c3b
Source ID: regulatory:risk.net
Published At: -
Extraction Method: trafilatura
URL: https://www.risk.net/insight/ai-and-machine-learning
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AI and machine learning From alerts to answers: overcoming the false comfort of automation in financial crime compliance How institutions can align tech, governance and human judgement to transform compliance Removing the barriers to AI success Addressing challenges of data quality and governance to scale AI for competitive advantage Building reliable and successful LLM-based workflows How AI is reshaping analytics, compliance and modelling in finance AI in capital markets: bridging predictive precision with generative possibility Regulatory requirements, compliance demands and concerns over data quality and consistency are prompting firms to approach AI with renewed caution and clarity Optimising AI and cloud transformation to modernise financial services in a dynamic regulatory landscape Financial institutions are leveraging AI to modernise their infrastructures while navigating regulatory priorities and challenges Boosting regulatory assessment with GenAI: Prometeia’s use case for credit risk models Prometeia’s GenAI tool provides institutions with the technology to remain competitive and compliant in a complex regulatory environment Front office open to AI promise AI offers real potential for capital markets firms. But how disruptive, and how immediate, will the impact be? 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 Best use of machine learning/AI: CompatibL CompatibL won Best use of machine learning/AI at the 2025 Risk Markets Technology Awards for its use of LLMs for automated trade entry, redefining speed and reliability in what-if analytics Elevating financial crime compliance and data management through AI AI, process automation and strategic data management can effectively combat financial crime. However, the power can be in the hands of good and bad actors Only human: the secret of reliable LLM workflows Examining the strengths and limitations of LLMs and insights into how to integrate them into business workflows 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
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