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

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Expert opinions

Naina Rajgopalan

Naina Rajgopalan Content Head at Freo

How do AI and Machine Learning Transform Stock Screeners?

Ever wondered how stock traders select good stocks without investing too much time in checking financial data? The solution is a stock screener. Fortunately, today's stock screeners are much improved compared to the past. All thanks to Artificial Intelligence (AI) and Machine Learning (ML). These stock screeners have turned into intelligent assist...

/ai /markets

Chris Poulios

Chris Poulios Product Marketing Manager at Moveo.AI

AI Collection Agents: Transforming Debt Recovery in Financial Services

Debt collection is changing fast. AI-powered systems are replacing traditional call centers, operating 24/7 to recover debts while maintaining customer satisfaction. For banks, fintechs, and collection agencies, this technology is becoming essential, not optional. Industry data shows AI collection strategies can boost recovery rates by up to 25% w...

/ai /payments Artificial Intelligence

Viacheslav Kostin

Viacheslav Kostin CEO at WislaCode Solutions

AI is not the real hurdle! Where fintech innovation truly gets stuck

If you read the headlines, you’d think artificial intelligence is the only story in fintech. Banks and fintechs alike feel pressured to showcase their AI credentials, even when the use cases are thin. But let’s be honest: AI is not the real hurdle. The biggest challenges in fintech innovation are far more structural and harder to solve. 1. The tra...

/ai /predictions Artificial Intelligence and Financial Services

Konstantin Rabin

Konstantin Rabin Head of Marketing at Kontomatik

Top AI-Powered Fintech Startups to Watch in 2025

The Fintech sector is known for startups that incorporate innovative technologies into their service. Among the most significant innovations widely adopted by startups is, of course, the AI boom. 2025 is a year of AI-powered fintech startups that employ this powerful technology to accelerate innovation across lending, fraud detection, compliance, ...

/ai /wealth

Alex Kreger

Alex Kreger Founder and CEO at UXDA Financial UX Design

Case Study: Designing a Gen AI Conversational Banking App

Over the past decade, messaging apps and AI-powered chats have redefined how we interact with the digital world. What started as a way to stay in touch with friends quickly evolved into a universal interaction model. With the rise of generative AI, this trend has accelerated dramatically. Instead of scrolling through menus or tapping endless button...

/ai /retail Innovation in Financial Services

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Trending

Konstantin Rabin

Konstantin Rabin Head of Marketing at Kontomatik

Top AI-Powered Fintech Startups to Watch in 2025

Alex Kreger

Alex Kreger Founder and CEO at UXDA Financial UX Design

Case Study: Designing a Gen AI Conversational Banking App

Bo Harald

Bo Harald Chairman/Founding member, board member at Trust Infra for Real Time Economy Prgrm & MyData,

The big picture keeps getting bigger – all the way to Quantum-safe Trust Infrastructure

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Research

Event Report

Modern onboarding: Optimising KYC through data integration and AI

The integration of technology and data continuity, combined with digitisation, automation, and AI, is revolutionising KYC and onboarding in the banking industry.  In today’s fast-paced financial landscape, efficient client onboarding is crucial for operational excellence and effective customer lifecycle management. Financial institutions are increasingly redefining their Know Your Customer (KYC) processes to reduce inefficiencies and enhance the overall customer experience.  Integrating advanced technologies and real-time data processing can significantly accelerate these processes, providing clearer customer insights and reducing complexities. Data integration and AI allow the streamlining of KYC and onboarding procedures, ensuring seamless interactions and improving transaction accuracy and security. By embedding these capabilities within client environments, institutions can facilitate easier access to verified information, fostering trust and long-term business relationships.  This report highlights the key takeaways of a Finextra webinar, hosted in association with NICE Actimize, by a panel of industry experts. Discover:  Today's KYC inefficiencies and challenges;  The impact and importance of data; and  How digitisation, integration, and AI can streamline KYC and onboarding. 

116 downloads

Event Report

The Outsourcing Imperative: The strategic importance of partnerships for cloud-based payments

The financial services industry is at a pivotal moment where cloud technology and strategic outsourcing offer pathways to enhanced operational efficiency and competitiveness. Explore the Outsourcing Imperative.  In today’s rapidly evolving financial landscape, managing complex financial systems has become increasingly challenging for banking providers. The demands of mature cloud technology, evolving payment rails, and channels such as real-time cross-border payments and stablecoins require innovative solutions. Additionally, regulatory differences by country and region add another layer of complexity, especially for banks operating across multiple borders.  With the buzz around generative AI and other emerging tools, financial institutions must consider outsourcing certain functions to maintain competitiveness and efficiency. Enhancing user experience and regulatory compliance are paramount, as customers now expect a variety of payment options, from digital wallets to AI-driven payment agents. Outsourcing becomes key in today’s payments landscape, and financial institutions are increasingly turning to Payments as a Service (PaaS) to navigate the complexities of modern banking operations.  This report highlights the key takeaways of a Finextra webinar, hosted in association with FIS, by a panel of industry experts. Discover:   Drivers for adopting cloud-based payments;  Why banks and cloud are still an unfinished story;  Why outsourcing is necessary in today's payments landscape; and  How banks can change the status quo through partnerships. 

81 downloads

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

149 downloads

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FinextraTV

How to Turn Data Into Insight in a New Era of Financial Intelligence

Stepping away from a busy event, Leon Saunders Calvert, President & Managing Director - B2B, The Economist Group sat down with FinextraTV to discuss the role of data in a new era of financial intelligence. Describing how bigger data isn't as good as qualified data, Sanders Calvert helps to contextualise some of the key considerations when interoperating data in the current industry landscape.

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Long reads

Hamish Monk

Hamish Monk Senior Reporter at Finextra

What is treasury technology?

According to PwC’s 2025 Global Treasury Survey, in today’s volatile “macroeconomic environment, a ‘cash-first’ operating model is no longer optional. Treasury must lead with forecasting accuracy, real-time visibility and centralised control.” The only effective means for organisations to achieve these goals – as well as weather the headwinds of st...

Dominique Dierks

Dominique Dierks Senior Content Manager at Finextra

The AI energy crisis: Why chatbots are using up our drinking water

Just this week, the Trump administration has introduced its new ‘AI Action Plan’ with the direct aim to speed up the adoption of AI and the build of more data centres, all the while cutting regulation to enable this. As the world continues its AI race, how much is too much? Concerns have long been raised about the amount of energy AI uses. The In...

Hamish Monk

Hamish Monk Senior Reporter at Finextra

What is predictive analysis?

Predictive analytics is a method of data analysis used within the financial services industry – and beyond – to forecast business-related outcomes. It sits on a spectrum, beginning with descriptive analytics, the most basic form of data analysis, then moving to diagnostic analytics, predictive analytics, and finally prescriptive analytics – the mo...