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

[New Impact Study] How can Businesses Bridge the Gaps in their Cashflow?Finextra Promoted[New Impact Study] How can Businesses Bridge the Gaps in their Cashflow?

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Expert opinions

Raktim Singh

Raktim Singh Senior Industry Principal at Infosys

Causal AI: Going Beyond Correlation in Finance

Today, Artificial Intelligence (AI) has become a buzzword across industries. In finance, AI is used to identify fraud, automate lending decisions, predict stock price movements, and, in some cases, optimize portfolios. However, there is a limitation to contemporary AI approaches—they primarily lack a clear basis in causality, instead favouring co...

/ai /retail

Sireesh Patnaik

Sireesh Patnaik Chief Product and Technology Officer (CPTO) at Pennant Technologies

Building an Enterprise-Grade Agentic Framework for Financial Institutions

Agentic AI is generating enormous attention but also skepticism. Gartner predicts that over 40% of agentic AI projects will be cancelled by 2027 due to costs, unclear ROI, and inadequate risk controls. Many initiatives today are still hype-driven pilots, with only a fraction showing true enterprise value. And yet, the long-term potential is undeni...

/ai Banking and Lending Solutions

Paul Shumsky

Paul Shumsky Founder at @Finpace.tech

MCP as the Foundation for Secure and Agile Banking Partnerships

Banks today face a persistent dilemma. On one hand, they must adapt to the market conditions quickly integrating new partners, responding to evolving regulations, and launching products faster than before. On the other, every integration risks exposing the most sensitive parts of their infrastructure. Too often, the result is delay, added cost, or...

/ai /security Banking Architecture

Sharon Tan

Sharon Tan Head of Marketing - APJ at Oracle Financial Services

Context Meets Code: The New Rules of B2B Marketing in an AI-First World (Part 1)

AI of today is seen as an engine for growth and transformation – seemingly a silver bullet to redefine business in a gamut of areas including financial performance, cost reduction, customer satisfaction, operational efficiency, employee engagement and development. Yet the question remains, where can AI really move the needle where businesses can se...

/ai Marketing in Financial Services

Erica Andersen

Erica Andersen Marketing at smartR AI

A Data Dilemma: Reclaiming Time for Profit in the Financial Markets - A Business Perspective

The financial markets are a relentless, data-driven ecosystem. Success hinges on the speed and accuracy with which institutions can extract, analyze, and interpret the torrent of market information. Data analysts and quantitative analysts (quants) are the critical navigators of this complex landscape, yet they often find themselves mired in a Sis

/ai /regulation Artificial Intelligence and Financial Services

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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. 

105 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. 

74 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

147 downloads

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FinextraTV

How to Handle AI Scepticism as a Banking Leader

Speaking to FinextraTV, Runki Goswami, Global Marketing Head & CMO at Newgen Software, and Varun Ghai, Associate Vice President (P&S), UK & EU, Newgen software discuss the use of AI and technology in banking against a backdrop of heightened customer needs. Explaining the different elements that are now available to banks, Goswami and Ghai also help to define what good leaders look like in this new era of technological change and scepticism.

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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...