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News and resources on artificial intelligence systems, innovations and initiatives worldwide.

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Expert opinions

Ruoyu Xie

Ruoyu Xie Marketing Manager at Grand Compliance

Governance, Risk and Compliance: How AI will Make Fintech Comply?

Governance, Risk and Compliance: How AI will Make Fintech Comply? AI enhances governance, risk, and compliance by automating processes, improving fraud detection, and supporting regulatory frameworks focused on transparency and accountability. AI’s Role in Financial GRC Artificial Intelligence (AI) is reshaping Governance, Risk, and Complia

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Prasenjit Das

Prasenjit Das Senior Director at Virtusa

A brief peek into the Framework for Adoption of AI in Banks from ECB

The publication ‘The rise of artificial intelligence: benefits and risks for financial stability by ECB’ gives a view with some deep fundamental insight into the hottest star around – AI. It touches on the conceptual aspects and more importantly acknowledges the evolving aspect of the scientific understanding of the technology itself & thus t

/ai Artificial Intelligence and Financial Services

Alex Kreger

Alex Kreger Founder & CEO at UXDA

Emotional AI in Banking: Next-Gen Personalization or Privacy Killer?

Banks have always been at the forefront of data collection. With advancements in artificial intelligence (AI) and emotional analytics, banks are poised to leverage this wealth of data to detect and respond to customers' emotional states, ushering in a new era of personalized banking experiences. This development has the potential to revolutionize ...

/ai /retail Innovation in Financial Services

Teo Blidarus

Teo Blidarus CEO and Co-Founder at FintechOS

Agentic AI: The Competitive Edge Finance and Insurance Companies Need to Stay Ahead

Agentic AI - technology that autonomously achieves user-set goals - isn't just an advancement; it's a necessary evolution for firms looking to stay competitive amidst constantly shifting industry standards. Unlike traditional AI, which requires human intervention, agentic AI adapts independently, processing real-time data to drive optimal outcomes...

/ai /retail Innovation in Financial Services

Dennis Buckly

Dennis Buckly Fintech Writer/Analyst at House of Ventures

5 Learning platforms that can help Fintech Professionals work with AI

The rapid expansion of artificial intelligence (AI) across industries has left no sector untouched, and fintech is at the forefront of this transformation. With AI driving automation, data analysis, and personalized financial services, fintech professionals must stay equipped with cutting-edge knowledge to remain competitive. Leveraging the right ...

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Trending

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Research

Impact Study

2024 Fraud Trends in Banking, Insurance, and Beyond

How generative AI is boosting fraud protection in an increasingly complex environment. As technology progresses, so do the capabilities of institutions to secure data and systems. Over 2024, the fraud landscape has been complex, and organisations must push the boundaries of innovation while maintaining a high security bar as the availability and democratisation of AI increases as we're going into 2025. The tidal wave of incoming regulation in the financial sector is an aspect that will help banking and insurance companies to safeguard their customers and data in the best way possible. Yet regulation alone does not address fraud – it’s up to individual organisations to leverage the potential of technology, and review their solutions, processes, and thus ensure compliance and safety. As fraud and regulation increase in the space, technology is one of the key factors that will help banks and insurance companies to address these increased fraud risks. Generative AI enables organisations to deliver hyper-personalised customer experiences, and combining these capabilities with carrier network insights can not only help them significantly reduce authentication fraud, but also ensure regulatory compliance. This impact study, produced in association with AWS and Vonage, examines the current fraud landscape across financial services, banking, and insurance, highlighting how generative AI and network APIs can help prevent fraud while enhancing the customer experience. Explore: Fraud trends in 2024 The impact of regulation Why data is the new gold How organisations can innovate with generative AI Best practices

201 downloads

Event Report

Managing Fraud Risks with Synthetic Data

A Practical Approach for Businesses Services Industry The financial services sector is in a constant state of evolution, and so too are the challenges it faces, particularly in the realm of financial crime. This mounting issue has become a significant concern for institutions, customers and regulators alike. The key to addressing this lies in our approach to data - its quality, management, and applications. Harnessing the power of synthetic data and AI tools has become a pivotal factor in business transformation, particularly in addressing the issue of financial crime. The ability to streamline operations and enhance efficiency is a major challenge businesses face, but the introduction of synthetic data offers promising solutions. Synthetic data provides a comprehensive view of all types of crime, a feature that is crucial for global banks often grappling with segmented fraud activity. This broader perspective enhances the institutions’ capability to effectively fight financial crime. This report summarises the discussion had during a Finextra webinar, hosted in association with Red Hat, and explores: The role of synthetic data in combatting financial crime Implications of new regulation How synthetic data enhances crime detection A practical apprach for managing fraud risk  

162 downloads

Future of Report

The Future of Payments 2025 – Digital, Instant, Profitable?

A Sibos Special Edition The global payments landscape is in a period of rapid transition, with technologies and regulations making a serious impact. Yet looking to the future of the payments industry, how can we ensure that it is digital, instant, and profitable? While consumer behaviours continue to evolve in tandem with this. Artificial intelligence (AI), tokenised assets, Central Bank Digital Currencies (CBDC), Blockchain, and even more pioneering technologies are shaking up the payments systems all in their own way. Adding to this atmosphere of flux, is an developing regulatory framework which promises to alter this situation further. Regulators are facing an uphill battle attempting to legislate on emerging technologies while keeping consumers safe, and providing the best outcome for payment service providers (PSPs). As we move towards milestones like open finance and more rapid payments, there is a chance the payment ecosystem could look quite different within the next few years. Under these growing pressures, global payments organisations will need to ensure that they are able to bend and adapt to the circumstance, or risk snapping. Never has it been more important for PSPs to collaborate with each other, and regulators, to ensure the best outcomes. This Sibos 2024 special edition report, was produced with contributions from Accenture, Deloitte, EBA CLEARING, Finastra, FIS Global, Investec, J.P. Morgan, Oesterreichische Nationalbank, PPI AG, Swift, and Wise. It explores: The evolution of instant payments in 2025; The modernisation correspondent banking and cross border payments; Preparing the upcoming EU payments legislation; The key to successful digitalisation; The technology innovations reshaping the payments sector.

750 downloads

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FinextraTV

Sustainable Finance Live Hackathon 2024 Winners: Established Category

Richard Peers, Contributing Editor, Finextra and Founder of Responsible Risk, connects with Rochelle Mountany, CEO, and Dicky Thomas, Operations Manager at Afri, to discuss the company’s 26-year journey and their win in the Established Category for the Sustainable Finance Live Hackathon 2024. After choosing the Challenge of enhancing nature through sustainable agriculture with large language models and geospatial data, this hackathon team created AfriGIS Ecohub that built upon Afri’s specialisation in data science to provide data driven insights to three groups – small holders, commercial farmers and financial institutions. By connecting these stakeholders with a single supply chain platform, real-time data driven insights can be leveraged to build upon opportunities to grow.

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Long reads

Yi Ding

Yi Ding Assistant Professor at Gillmore Centre, Warwick

AI can make P2P lending safer and more fruitful for investors

Peer-to-peer (P2P) lending was born from the idea that cutting out the middle man – i.e. the bank – could make finance cheaper and more accessible. But in recent years, the lack of an intermediary has arguably undermined a key part of the sector, namely the secondary market for trading in existing P2P loans. Could artificial intelligence (AI) chan...

John Barber

John Barber Vice President and Head at Infosys Finacle

Scaling AI in European banking: A practical framework for success

This article has been co-authored by John Barber, Regional Manager - Europe, Infosys Finacle, Narasimha Prasad Nagaraja, senior director at Infosys Finacle, and Ramprasath Ganesaraja, head of AI research at Infosys Finacle. A practical guide to reaching the promised land In our previous article, Forget Fintech Disruption—Here's How European Banks C...

Hamish Monk

Hamish Monk Senior Reporter at Finextra

What is automation in financial services?

In the context of financial services, automation is achieved by the deployment of numerous technologies, in various contexts, by all kinds of entities. Whether it's smart automation by start-ups for artificial intelligence (AI)-powered enterprise resource planning (ERP) tagging systems, generative AI automation for risk detection by large banks,...