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This report provides a comprehensive analysis of the key trends defining the payments sector in 2024, highlighting the opportunities for strategic growth, as well as the challenges posed by regulatory pressures, financial crime, and evolving infrastructure demands.
Keeping pace with agentic demands Financial infrastructure built for the self-hosted era cannot meet the demands of autonomous agents. Mastercard’s Agent Pay highlights the hyper-personalisation agents demand—curating purchases based on style, weather, and venue, then transacting across multiple merchants.
Filip Berlikowski CTO, Payall "RT2’s real-time capabilities and ISO 20022 structured data will transform UK payments—enabling immediate frauddetection, reducing false positives, and turning compliance into a competitive edge. Why is it important? Democratised access will foster fintech-bank collaboration, driving innovation.
The findings of the Financial Crime 360 survey, focusing on the challenges, prevalent fraud types, and strategic responses across various sectors. Continued investment in innovative frauddetection technologies and adaptive regulatory frameworks is essential to stay ahead of evolving financial crime threats. Why is it important?
The payment processing market in the United States has demonstrated robust growth, driven by rising consumer demand for digital payments, advancements in financial technology, and the expansion of e-commerce. They can also offer additional services like frauddetection, chargeback management , and analytics.
The annual State of Payments report expanded this year to survey a total of 1,000 small to medium-sized businesses (SMBs) along with 3,000 consumers across the US and UK, finding that consumer demand for flexible, real-time, and digitally integrated payment experiences is increasing.
Over time, it expanded into a full-service payment service provider, offering acquiring, processing, gateway, and fraudmanagement services through a single, unified platform. As payment innovation accelerates, Checkout.coms strategy, technology, and positioning offer a clear window into the future of global financial infrastructure.
Craig Savage Founder & CEO, FERO "There is growing consumer demand for secure payment solutions such as Pay by Bank, and merchants should be aware of this trend to remain ahead of the curve. Recent market data shows this demand is reaching a tipping point across Europe.
Consequently, the cost of fraud prevention now reaches $4.61 for every $1 of actual fraud incurred, intensifying the trade-off between safeguarding the platform and maintaining scale. Without collective visibility, we risk fragmented defences. Static, manual-heavy models are no longer viable.
Businesses must proactively assess fraudrisks, implement adequate procedures, leverage technology for frauddetection, and foster a culture of compliance to avoid regulatory penalties. A large company has exposure if an 'associate' commits a relevant fraud offence for the company's benefit.
Principal Consultant Oracle Location Edison Followers 2 Opinions 8 Follow Unfollow The global banking sector has made substantial investments in Artificial Intelligence (AI), driven by the promise of enhanced operational efficiencies, sophisticated frauddetection capabilities, and hyper-personalized customer experiences.
Simultaneously, it would entail trade-offs in security, user experience, and operational design that demand careful scrutiny across the industry. The findings show that it’s technically possible, but with significant challenges surrounding frauddetection, data sharing, and usability.
Audit and FraudDetection AI agents can run night and day, performing continuous monitoring tasks to identify: Risks of fraud Historical data trends Comparative analysis Anomalies in the data If any anomalies are present or the analysis finds a discrepancy, an internal team notification can be sent for further analysis.
From virtual assistants to risk modeling and hyper-personalized customer experiences, banks are betting big on AI to transform operations, reduce costs, and redefine digital engagement. On the risk and operations side, common uses include frauddetection, anti-money-laundering pattern detection, credit risk scoring and trading optimization.
As the fintech industry continues to grow and evolve, so do the demands for regulatory compliance. Leveraging artificial intelligence (AI) technology, PhotonPay has further streamlined anti-money laundering (AML) and counter-terrorism financing (CFT) processes, enhanced its riskmanagement system and effectively reduced financial crime risks.
Changing customer expectations and market demands Customers now expect speed, simplicity, and flexibility. Focus on compliance, security, and riskmanagement Payments are sensitive. That’s why you must meet regulatory requirements and protect your customers from fraud. That’s what your customers expect.
Benefits and challenges of AI and embedded finance While it is true that AI investments have led to enhanced frauddetection, riskmanagement, and the hyper-personalisation of customer offerings. Without the use cases, is AI anything more than smart automation? And that, indeed, is not new.
While modernization carries inherent risks in a heavily regulated environment, the cost of inaction has become demonstrably higher. Financial institutions that delay transformation risk regulatory non-compliance, competitive disadvantage, and operational inefficiencies that compound exponentially over time.
The chill has been taken out of the industry as investors regain confidence, new startups can launch with less risk, and established players are doubling down on new technologies to meet evolving customer demands. From fresh AI applications to the new uses for embedded finance, fintech is experiencing a renewed momentum.
It highlights how industry leaders are prioritising AI, cross-border payments, and digital currencies while grappling with regulatory, technological, and customer demands. 2025 payments outlook: Key findings from industry-wide survey data 28 April 2025 by Payments Intelligence LinkedIn Email X WhatsApp What is this article about?
Industry leaders can expect to explore how digital transformation is reshaping financial services, covering cybersecurity, customer experience, and frauddetection during the event. To help you navigate the fintech landscape, weve compiled the most important fintech events happening in Asia for Q2 2025.
For payments firms, integrating tailored insurance at checkout or as part of transaction flows presents a new value proposition and customer engagement lever, but also demands new riskmanagement capabilities. Frauddetection and riskmanagement are also evolving.
It highlights how innovation, regulation, AI, and riskmanagement are shaping the future of payments and impacting business models. Participants tackled five central themes: underleveraged innovation, the operationalisation of AI, regulatory challenges, the evolution of embedded finance, and strategic risk planning for 2025 and beyond.
Afterpay is using big data and AI to ensure a smooth user experience and improved riskmanagement. PayPal’s BNPL solution, Pay in 4, incorporates sophisticated fraud prevention technology and machine learning models to assess creditworthiness quickly. on an annual basis to reach US$560.1 billion in 2025.
Artificial Intelligence: Automation and Personalization Artificial intelligence (AI) is revolutionizing loan management by automating repetitive tasks and allowing lenders to concentrate on strategic initiatives. Big data analytics transforms loan management, guiding strategic planning. Explainable AI (XAI) promotes transparency.
Modern finance teams rely heavily on embedded finance, SaaS fintech software, finance APIs, and cloud-based platforms to run everything from payments to compliance to cash management. Alloy A flexible KYC and fraud prevention platform that helps fintechs and banks automate onboarding and monitor customer behaviour in real time.
Strategic modernisation through modular, API-first architecture enables a phased, agile response to compliance demands. The offence, modelled on similar provisions in anti-bribery and tax evasion law, applies regardless of whether senior management was aware of the misconduct.
A monthly vendor payment can afford to wait for batch processing if it saves costs, while a real estate closing demands immediate settlement. Tackling the True Challenge: Operational Readiness Real-time payments demand comprehensive operational transformation. Real-time frauddetection is also particularly complex.
Financial institutions are leveraging frauddetection, credit decisions, and riskmanagement powered by large language models and machine learning. An aging workforce, evolving regulatory demands, and the complexity of modern finance have created a gap that universities and training programs struggle to fill.
In this week’s edition of Finovate Global , we caught up with Maya Shabi, Senior Risk Strategist with EverC , a firm that provides tech-driven riskmanagement solutions for ecommerce companies. What makes the EU AI Act stand out is its risk-based approach.
Having already delved into whether AI-driven claims automation poses any risks, we now turn our attention to a broader use of AI by insurers. This may become more of a challenge as AI starts to influence more and more aspects of insurance, and this puts consumer trust at risk. ” Are insurance firms already being cautious enough?
Trends impacting industry-wide Daniel Cole , senior managing director at Publicis Sapient , the digital consulting company, also agrees that AI is having a significant impact on the sector, but shares other trends also changing the way firms approach insurance. AI-powered chatbots have also evolved significantly.
The rapid evolution of technology and the escalating demand for online banking services have made machine learning (ML) an invaluable asset in preemptively tackling fraudrisks. The Escalating Threat of Financial Fraud Financial crimes are on an upward trajectory. The resounding answer is yes.
The COVID-19 pandemic led to restrictions on physical gatherings, prompting businesses to swiftly move their marketing activities to online platforms and bringing webinars into the spotlight. These virtual events became vital for maintaining business continuity, serving as a means for internal meetings and connecting with clients and audiences.
They are focusing on digital transformation, developing customised credit solutions, and improving riskmanagement. The region is also seeing an increased focus on Environmental, Social, and Governance (ESG) criteria, with growing regulatory demands for green financing. .”
They are focusing on digital transformation, developing customised credit solutions, and improving riskmanagement. The region is also seeing an increased focus on Environmental, Social, and Governance (ESG) criteria, with growing regulatory demands for green financing. .”
The integration of frauddetection algorithms is paramount for error reduction. These algorithms analyze patterns and anomalies in the data to identify potential instances of fraud or misrepresentation. They estimate that this represents an industry-wide efficiency loss of up to $160 billion over the next five years.
In today’s digital age, customers are demanding seamless and personalized experiences when interacting with their banks, the report says. Financial crime continues to evolve at a fast pace as fraudsters tap more sophisticated and advanced methods to circumvent detection.
Generative AI (genAI), in particular, is poised to reshape the financial ecosystem significantly through enhanced customer experience, personalized financial advice and services, improved frauddetection and riskmanagement, as well as automated financial planning, the report says.
Just like with everything else in 2020, COVID-19 affected AI; demand for AI, data, and digital tools soared as the pandemic has put an unexpected, protracted strain on many enterprises. However, more than 93% of respondents said that ethical considerations represented a barrier to AI adoption within their organizations.
AI is boosting riskmanagement and personalisation During Huawei’s Finance Forum at GITEX, Dr. Jassim Haji , an international expert, strategist and researcher in AI and digital transformation, delved into how AI is enabling real-time risk assessment and frauddetection, reducing the manual processes that typically slow banks down.
Adherence to regulatory mandates With increasing demands and scrutiny from multi-jurisdictional regulatory bodies, the current state of the crypto industry’s preparedness to adhere to ever-changing mandates is a matter of concern. The post How Is the Crypto Industry Adapting to Regulatory Demands and Scrutiny?
In a new PYMNTS interview, David Barnhardt, executive vice president of product at GIACT , which offers frauddetection and account validation tools, talks about an upcoming change by NACHA, national administrator of the ACH network, to make internet-initiated debit transactions (WEB debits) safer and more seamless. New NACHA Rule.
Research published in 2016 from Shell found that nearly two-thirds of surveyed fleet managers cited fuel fraud as a major problem, with professionals acknowledging an array of weak points that expose a company to losses. Goldspink recently told PYMNTS that fleet card-related fraud goes far beyond skimmers at the POS.
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