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Latest Results from /ai

Impact Study

Exploring the rise of originate-to-distribute (OTD) models

Opportunities and challenges for banks in the secondary loan trading market  The lending market has markedly evolved in the last couple of decades. One of the most significant aspects has been the shift from originate-to-hold to originate-to-distribute (OTD) models. Whereas historically, lenders used to originate loans and hold them through maturity, several market factors have necessitated a diversification of risk. Diversification of funds, optimisation of asset management, risk optimisation, as well as a need for increased profitability have catalysed the OTD model— particularly when banks retain the right to service the loans.  However, barriers to adoption remain as banks grapple with infrastructure and data concerns, and regulatory updates in the space are further affecting how banks approach and optimise their OTD models. On top of that, increasing interest rates over the last four years have meant increased risk for banks that are already struggling with regulatory and capital cost. Add to this the rise of private credit institutions that offer direct lending (and face lower regulatory and capital cost), and banks are starting to feel the pressure of decreasing margins.  This Finextra impact study, produced in association with FIS, explores:  The growth of OTD models and the secondary loan trading market;  The challenges banks face in the lending space, including: Increased competition, Inadequate data structures, and Regulatory requirements;  The opportunity that OTD models— combined with artificial intelligence (AI)—offer to help optimise banks’ portfolios and balance sheets.    Register to watch the related Finextra webinar, hosted in association with FIS –  Entering the Originate-To-Distribute era: Exploring commercial lending and portfolio diversification

38 downloads

Impact Study

Reimagining customer journeys: How can banks upscale experience and boost retention?

To stay competitive and better serve their customer base, financial institutions (FIs) must urgently reimagine their customer journeys — from onboarding to the broader lifetime experience — or risk facing a hit to their market share. Technology has significantly transformed the financial services industry, particularly over the last five years. Challenger banks and fintech firms have rapidly gained popularity thanks to their ability to offer fast, simple, digital services. According to data from Plaid, nearly nine out of 10 consumers were using a fintech application in 2023. This percentage will continue to grow.  Financial institutions (FIs) must urgently reimagine their customer journeys or risk facing a hit to their market share. Indeed, today’s customers are more likely than ever to switch primary banking relationships if they do not receive the services they are looking for. Young, digital natives continue to shape this market, with research revealing that 44% of Gen Z customers have changed their primary banking relationship in the last 12 months. The call to competition cannot be ignored.  But how can FIs innovate to meet these demands, while simultaneously running legacy systems? This Finextra impact study, in association with Hyland, explores how financial institutions can:  Reinvent onboarding and Know-Your-Customer (KYC) processes;  Upscale the overall customer journey;  Look to artificial intelligence (AI) for product enhancement and integration; and  Present real-world case studies for each of these objectives. 

132 downloads

Future of Report

The Future of European Fintech 2025: A Money20/20 Special Edition

A special edition for Money20/20 Europe 2025. The European fintech space is seeing leaps and bounds in digital innovation, financial technology, and operational resilience. With incoming regulation focused on standarising the sector and disruptive fintech firms challenging banks - the ecosystem is in a transitional period.  Among these challenges, the fintech boom is sweeping the continent. New developments in AI, tokenisation, digital identity, open banking, and more is redefining the banking sector. Europe is primed to act as the epicentre for global fintech innovation.  This Finextra report dives into industry sentiment on what the future holds for European fintech, featuring key insights from NatWest Group, Standard Chartered, BNY Mellon, Magnetiq Bank, GoCardless, Moore Kingston Smith, Stripe, and Augmentum Fintech. It explores:  AI and predictive analytics integration in payments;  Enabling financial inclusion and accessibility in emerging markets;  The role of digital identity and behavioural biometrics in financial services;  Innovation in regulatory practices;  The revolutionary power of smart data and decentralised finance. 

235 downloads

Impact Study

Why DevSecOps is key to navigating innovation and compliance

Explore how DevSecOps enable organisations to navigate economic uncertainties while treating innovation and compliance as complementary forces rather than competing priorities. A balancing act is underway within the financial services industry. Driven by client demand and fintech competition, institutions are increasingly obliged to innovate, while at the same time, ensure every step forward is secure and compliant. Often, it feels as though these two goals sit on either side of a seesaw – when one goes up, the other must go down. Many such challenges are born from the software delivery process, where countless organisations are struggling to source the expertise and capabilities necessary to deliver secure and compliant applications, at speed.  Much of the conflict stems from fragmented DevSecOps (a software development practice that integrates security throughout the development lifecycle) strategies which are built upon outdated infrastructure. Indeed, many financial institutions (FIs) today operate with disjointed security and development workflows – sometimes patching together between five to 10 separate tools that were implemented incrementally over time. While this approach worked five years ago, better options exist today. A simplified stack is conducive to both innovation and compliance – without either being compromised.  This Finextra impact study, produced in association with GitLab, explores:  How the evolution to a unified software delivery platform can deliver on both innovation and compliance;  reduce the risk of security incidents;  supercharge operational efficiencies;  amplify business agility and scalability;  and even support talent acquisition. 

147 downloads

Survey

Navigating the Nordic financial landscape: 2025 challenges and priorities

As the Nordic financial sector faces new hurdles and opportunities, a variety of issues are front and centre for financial institutions, technology providers, and fintechs.  Our latest survey of 150 responses reveals how Nordic institutions across Denmark, Finland, Iceland, Norway, and Sweden are navigating the current landscape and their strategic priorities for 2025. Providing valuable insights into areas such as the Digital Operational Resilience Act (DORA), Verification of Payee (VoP), AI’s growing role in financial services, perspectives on central bank digital currency (CBDC) and stablecoin, and evolving payment trends such as Account-to-Account (A2A) and instant payments.  Analysis of our survey responses provides a comprehensive overview on how Nordic institutions are navigating transformation shaped by innovation, regulation, and evolving customer expectations, with progress and priorities varying by country.  We explore regional specific views towards:  Key priorities for 2025  Readiness for Verification of Payee (VoP)  Strategic AI integration for real impact  The rise of A2A, instant, and mobile payments  Attitudes towards central bank digital currencies (CBDCs) and stablecoin  The impact of DORA 

337 downloads

Event Report

Using modern technology platforms to create an AI-driven bank

In the rapidly advancing banking sector, integrating Artificial Intelligence (AI) has become less of a choice and more of a crucial stepping stone. The industry is facing a turning point in the adoption of AI where organisations either embrace the opportunities in front of them or risk falling behind.  The rise of artificial intelligence (AI) has ushered in a new era of digital transformation. In banking operations, the integration of AI presents an opportunity for significant growth. However, this integration is not without its challenges. Banks are dealing with more data than ever before, and managing this information effectively is a crucial hurdle to overcome. From ensuring data accuracy and relevance to adhering to privacy regulations, these challenges require careful consideration.  The decision to incorporate AI should be a strategic one, aimed at addressing specific business challenges and not just a nod to the latest trend. Identifying growth-inhibiting challenges and evaluating the viability of AI as a solution is a practical and cost-effective approach.  This report highlights the key takeaways of a Finextra webinar, hosted in association with Red Hat, by a panel of industry experts. Discover:  Overcoming barriers in integrating AI into banking systems;  AI integration: A strategic approach; and  Effective utilisation of AI in business operations and risk mitigation.   

431 downloads

Event Report

Risk-based authentication: Enhancing security and user experience in fraud prevention

In today’s rapidly evolving digital landscape, the importance of robust cross-channel authentication cannot be overstated. As businesses and consumers increasingly interact across multiple platforms, ensuring secure and seamless authentication processes is paramount.  Online platforms have become integral to modern financial activities, which necessitates secure and seamless transactions, backed up by robust authentication mechanisms. Risk-based authentication offers a dynamic security approach, balancing user convenience with stringent fraud prevention.  The integration of cross-channel data and advanced technologies like machine learning (ML) and artificial intelligence (AI) is vital, as well as access and understanding of data. High-quality data is the cornerstone of effective fraud prevention and detection, which is why organisations must invest in robust data engineering practices to ensure collected data is accurate and well-labelled.  This investment enables the development of sophisticated models to better identify and prevent fraudulent activities. Prioritising data quality enhances fraud prevention strategies, protecting businesses and their customers from potential threats.  So how can organisations holistically address risk-based authentication in a dynamic world? This webinar report summarises the discussion of a Finextra webinar, hosted in association with Mastercard, and explores:  Risk-based authentication in fraud prevention;  Adapting fraud prevention to evolving threats;  Advanced authentication strategies for corporate fraud prevention;  Digital IDs, channels, and exclusion. 

276 downloads

Event Report

AI strategies for scalable, secure and compliant banking

Delving into effective strategies and tools for secure and compliant AI integration in banking, emphasising the importance of open-source models, the role of generative AI, the advantages of synthetic data, and the influence of regulatory frameworks. Integrating AI in banking involves more than just adopting new technologies; it requires aligning these technologies with specific banking use cases to maximise benefits and mitigate risks related to data security and compliance. Open-source models facilitate this transformation by offering a collaborative platform for innovation and transparency, essential for building trust and ensuring the safe use of AI in banking.  The journey from proof of concept (POC) to production in AI and machine learning is often lengthy and complex. This extended timeline highlights the challenges organisations face in integrating AI into their operations. Embracing new tools and technologies and learning to utilise them effectively is crucial for overcoming these challenges and applying AI to day-to-day operations, leading to significant benefits in efficiency and innovation.  When looking at other markets, the United States has become a hub for tech giants, focusing on fostering innovation, while regions like Japan remain cautious, reflecting their unique regulatory landscapes and societal risk appetites. This diversity in regulatory approaches presents both opportunities and challenges for firms operating globally, necessitating a nuanced understanding of each market’s unique dynamics.  This webinar report summarises the discussion of a Finextra webinar, hosted with Red Hat, by a panel of industry experts. Discover:  How AI is enhancing innovation, efficiency, and security;  Synthetic data and regulatory impact;  What factors are holding organisations back from fully adoption AI-driven services;  Balancing innovation and regulation;  And more. 

335 downloads

Impact Study

Bank Legacy Transformation: Exploring the Solutions

Where do banks stand with legacy transformation today? What are the market factors and changing consumer demands that make transformation increasingly crucial? Legacy transformation is not a new challenge for banks. However, as technology capability continues to advance, along with it the potential for innovation and new business models serving a digital customer base, the pressure of no longer being constrained by legacy infrastructure intensifies. Despite being the central nervous system for banks’ operations for decades serving a business purpose, legacy systems have become inadequate, and those trained to use them may lack the skills needed to meet sophisticated demands for real-time and seamless experiences. Here’s how banks can decouple their systems from each other to evolve and grow, untangle technology challenges to drive digitisation, and invest in technology and employees to ensure obstacles to rapid and gradual modernisation are removed. This impact study, produced in association with Veritran, will: Consider frameworks that prioritise initiatives based on their impact; Explore specific recommendations for each of these challenges; Propose strategies on how to integrate systems that will address data silos; Highlight clear ROI examples, efficiency gains, and enhanced customer outcomes; and Emphasise that there is no need for legacy system abandonment and modernisation can be conducted gradually without disruption.

452 downloads

Event Report

AI’s Role in the US Financial Services Sector

How US organisations are balancing innovation and compliance The regulatory landscape for AI in the US is fragmented, with states proposing their own regulations. California’s recent attempt to regulate AI through SB1047, which included provisions for a kill switch and legal liabilities for tech companies, failed to pass. This illustrates the complexities and challenges in creating a unified regulatory framework across the country. Despite regulatory uncertainties, AI adoption in financial services is growing. About 50% of companies have embraced generative AI, while traditional AI applications have been integral for decades. AI has been crucial in areas such as anti-money laundering, fraud protection, and know-your-customer (KYC) processes. The full potential of AI in data management and client services is yet to be realised, with many applications still in internal testing stages. This report highlights the key takeaways of a discussion had during a Finextra webinar, hosted for the PREDICT 2025 campaign, by a panel of industry experts. It includes: An overview of how AI has been adopted across the US thus far; How generative AI has been integrated into banking; Primary concerns with AI use; and Regional perspectives and approaches to AI regulation.

354 downloads

Event Report

Sustainable Finance Live – Natural Capital Finance

A Record from the Sustainable Finance Live Conference and Hackathon 2024  On 8 October 2024, Finextra Research and ResponsibleRisk held the annual Sustainable Finance Live hybrid conference and hackathon, in partnership with NayaOne.  The conference took place at Events@ No6 in London, and started off with a welcome from founder of ResponsibleRisk and contributing editor for Finextra, Richard Peers. Peers opened with an introduction outlining the themes and objectives of this year’s event: to understand natural capital risk, pricing, and trade.  The focus areas of the conference were natural capital, agriculture, supply chains, as well as regulation and reporting. The sessions also highlighted highlighting new technologies that are being used to collect nature-related data such as Earth observation and satellite reporting.  Richard Peers, contributing editor at Finextra and founder of ResponsibleRisk, moderated the conference: “What we wanted to do is to put on an event aimed at explaining the landscape of a natural capital transaction, with the associated data providers identified along the way. Ending the process in an asset management trading platform, taking into consideration all the steps that a regulated entity has to undertake, to prove to the financial industry that this can be an asset class, that is as tradable as any other.”  Download a Visual Record of the event below to discover key themes of the event’s panels, keynotes, and hackathon. We cover:  Natural capital trading from field to trade;  How nature financing can be achieved;  The role of data, economic profit, and policy for natural capital;  How to build a sustainable ecosystem using natural value;  Visions and results from the hackathon;  And more. 

144 downloads

Future of Report

The Future of AI in Financial Services 2025

A special edition for NextGen:AI 2024 Artificial intelligence (AI) has the ability to revolutionise the financial industry making id more efficient, enhance customer experiences, reduce costs, and create new products and services.  AI is transforming how institutions manage risk, intercept fraud or crimes, personalise customer experiences, improve efficiencies across their operations, make investment decisions, and many more use cases which are still being developed.  Some industries have already started to embrace AI and banks can be included in that, but financial services still has room to learn from the developments of other ecosystems. At the same time, the innovation in AI is now being driven by legislation. The EU AI Act came into effect in 2024 and is the most concrete piece of legislation, but other jurisdictions are developing their own and will continue to watch how the EU progresses.  With the new possibilities AI is opening for financial services, there are new risks. Biases, model issues, cyber security, and compliance issues are among some of the hurdles which AI presents to financial institutions. Adding to this are the serious sustainability issues which AI can create for financial institutions planning to use it long term.  This report has been written in collaboration with Box, Innovate Finance, and RedCompass Labs, and contributions from Globant, the United Kingdom House of Lords, ING, NatWest Group, Sumsub, and Smarsh. It explores:  How financial services can embrace AI;  Some of the key emerging AI use cases;  Global legislative outlook for AI;  AI sustainability and energy efficiency;  How AI can transform financial services metadata extraction. 

1036 downloads

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

597 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  

278 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.

1050 downloads