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Integrated riskassessment company Moody’s Analytics is deploying agentic AI tools and helping bank clients adopt the technology. The agentic AI market is expected to swell to $196.6 billion by 2034 with a compound annual growth rate of 43.8%, according to a March report from data analytics company Market.us.
The financial services industry has consistently led the way in embracing technological advancements, with Generative AI (GenAI) emerging as a transformative force in recent years. However, the emergence of Agentic AI marks a significant evolution in this landscape. What is Agentic AI?
A couple of years after its initial boom, artificial intelligence (AI) still remains a huge buzzword in the fintech industry, as every firm looks at a new way of integrating the tech into its infrastructure to gain a competitive edge. “The solution isn’t to use AI less, but rather to test it more rigorously. .
Within this article, we analyze how AI’s adoption in 2024 impacted key areas of digital CX, highlighting global trends as well as specific insights from major markets like the US and UK. Overall, banks that deployed AI at scale in 2024 reported significant improvements in digital channel usage and customer feedback.
Businesses must proactively assess fraud risks, implement adequate procedures, leverage technology for fraud detection, and foster a culture of compliance to avoid regulatory penalties. Compliance requires proactive fraud riskassessment, the implementation of preventive procedures, and a culture of accountability.
The gaming industry is transforming cloud technology by providing: No single point of failure – difficult to say about legacy banking systems as they may or may not been backed up. The gambling industry’s experience with fraud detection and real-time riskassessment again becomes is valuable and available within cloud technology.
ServiceNow, a provider of digital workflow services, has recently broadened its partnership with both EY and Visa, focusing on AI-driven compliance solutions and the transformation of payment services. These collaborations mark another noteworthy step in the integration of advanced AItechnologies in compliance and financial services.
As digital payment technologies evolve, they are revolutionising how transactions occur and breaking down barriers that have long excluded billions from the financial ecosystem. AI plays a crucial role in fraud detection and compliance, ensuring that financial inclusion does not come at the cost of security.
To address these issues, international leaders such as Klarna, Afterpay, PayPal, and Affirm are already using artificial intelligence (AI) and big data to minimise their losses and at the same time personalize services for customers and increase sales. Further the global market is forecast to grow at a CAGR of 10.2%
London, United KIngdom, April 3rd, 2025, FinanceWire Virturo.com Virturo senior strategists Eduard Becker and William Rieke have developed a series of AI-driven strategies aimed at refining contract-for-difference (CFD) trading for high-net-worth individuals (HNWIs).
AI can enhance transaction monitoring, while stronger KYC processes and staff training will help manage risks and maintain compliance. Partnering with regional providers, leveraging AI for fraud detection, and conducting regular audits will ensure compliance, transparency, and operational excellence.
You’ve seen the hype around Generative AI (GenAI). And perhaps you even have an AI strategy in place at your organization. But because the development of AI moves faster than any enabling technology we’ve seen in banking in the past, it’s important to think ahead to the next iteration.
With the launch of its new GenAI Financial Crime Detection Suite, ThetaRay aims to enhance riskassessment, streamline operational workflows, and strengthen anti-money laundering (AML) reporting to reduce fraudulent activity, such as money laundering and terrorist financing.
Generative artificial intelligence (AI), also known as gen AI, is expected to significantly impact risk management over the next five years, allowing financial institutions to automate tasks, accelerate processes and improve efficiencies. Following a credit decision, gen AI can draft the credit memo and contract.
4 Accelerated lending decisions Artificial intelligence combined with automated riskassessments will enable instant approvals for products like microloans and Buy-Now-Pay-Later, providing faster access to credit. #5 Partnerships will also matter more than ever.
The fintech sector is currently undergoing a significant transformation, with artificial intelligence (AI) and machine learning at the forefront of this change. These technologies are transforming how financial services operate, injecting unprecedented levels of efficiency and innovation.
LEAP 2025 , held in Riyadh from 9 to 13 February, highlighted Saudi Arabias commitment to financial technology and digital transformation. LEAP 2025 featured a dedicated Fintech Track, covering digital banking, blockchain applications, and AI in finance.
A new report by Twimbit, a Singapore-based research and advisory firm, highlights the state of open finance in Southeast Asia, exploring the different factors such as regional integration, technological innovation, evolving business models, and API monetization that are fueling the growth of the sector.
Leveraging Artificial Intelligence for Credit Decisioning that Lives Inside Your CRM AI-based decision-enabling tools are now able to transform the credit process from a manual, finance-only task into a connected, intelligent part of your Q2C workflow. AI-Powered Credit Recommendations: Move beyond static rules.
NYC, NYC, March 11th, 2025, FinanceWire Feedzai , the global leader in AI-native fraud prevention solutions, today announced the launch of ScamAlert, an innovative GenAI-powered fraud prevention agent built from a deep understanding of tactics fraudsters use to exploit consumers.
This demand is driving a transformative shift towards leveraging Artificial Intelligence (AI) and automation to redefine credit and riskassessment strategies. These technologies promise a future where financial institutions can navigate the complexities of credit […]
” She added on, saying that the crypto industry presents a unique opportunity to adopt AI and more technological solutions to reduce the noise and zoom in more accurately within a short period of time. This continuous riskassessment helps flag suspicious patterns before they become compliance incidents.
How digital commerce platforms manage escalating fraud risks while scaling operations. A shift toward AI-driven, integrated fraud management systems aligned with tightening UK regulations. Technology is evolving—But not a silver bullet AI-powered defences are advancing rapidly, from intent-based detection to behavioural biometrics.
Consumers are more susceptible than ever to falling short on their monthly bills, leaving banks searching for more proactive ways to mitigate the risk of defaults. There are countless technologies banks are employing to help them in this task, but none are as effective as artificial intelligence (AI).
Backbase most recently demoed its technology on the Finovate stage at FinovateFall 2021. A newly announced strategic partnership between Backbase and Feedzai aims to bring advanced financial crime prevention technology to engagement banking. Feedzai made its Finovate debut at FinovateEurope 2014 in London.
Integrating AI and automation into the underwriting workflow presents a significant opportunity to minimize the time allocated to administrative tasks, manual processes, and repetitive data entries. In addition, AI can help insurance firms evaluate risk with high accuracy by analyzing large volumes of data.
Having already explored compliance challenges, penalties and solutions, we now turn our attention to the technology of the moment: AI. While we’re well aware that AI is currently spoken about in absolutely every context, we also understand the huge impact it can have across sectors and operations.
consumers think about artificial intelligence (AI) as it relates to their financial lives? Just ask them, as was done for the December 2020 How To Put AI In Your 2021 FI Business Plan Playbook , a collaboration with Brighterion. Better credit management is just one benefit AI can confer to banks, however,” per the Playbook.
When it comes to predicting the next leap in fintech, you have to risk not only getting things wrong , but also being ok with it. Quantum computing’s promise to help firms increase speed, efficiency, and decrease risk appears to be a green field of revenue opportunity for organizations across the sector.
The fintech sector is evolving rapidly, transforming financial transactions, but it is also facing growing regulatory scrutiny and risks, such as fraud and cybersecurity threats. As director/MLRO of SENDS, a UK-licensed EMI, I see AI’s potential in fraud prevention, AML, and compliance.
As artificial intelligence (AI) rapidly transitions from a nascent development to a ubiquitous technology accelerating advancements across the financial landscape, far-reaching implications for central banks worldwide are quickly emerging.
The Digital Operational Resilience Act (DORA), Network and Information Security Directive 2 ( NIS2 ) and the EU AI Act share a common purpose: improve cybersecurity and operational resilience while ensuring responsible AI use. Meanwhile, 63 per cent of those claiming compliance report having transparency measures in place.
Many parts of the insurance sector, which have previously been marred by legacy technology, are now undergoing rapid digital transformation. AI driving change “Artificial Intelligence (AI) is transforming insurance from front to back,” explains Dean Standing , chief revenue officer at data consultancy Sagacity.
These intelligent scores can be used to assessrisk in the underwriting process for cyber security insurance, an exploding category that CFO magazine calls a “must have” : “A September [2016] survey by the Risk and Insurance Management Society found that 80% of the companies bought a stand-alone cybersecurity policy in 2016.”
AI is transforming compliance in financial services, offering efficiency gains while introducing new risks that demand robust governance. Artificial intelligence (AI) is no longer a futuristic concept. 85% of digital-first payment firms report live AI integration, particularly in fraud analytics and real-time risk scoring.
Palo Alto, California, United States, September 5th, 2024, Chainwire AI-driven platform detects fraud at its earliest stages, preventing billions in potential crypto losses As scams grow more sophisticated and increasingly target crypto for laundering billions in losses, CUBE3.AI AI is pioneering a new era in fraud prevention.
The insurance industry is undergoing a significant transformation driven by technological advancements. Insurtech, a term blending ‘insurance’ and ‘technology,’ is revolutionising traditional insurance models. Traditional riskassessment methods rely on historical data and generalised assumptions.
In this data-driven economy, riskassessment demands more than simply evaluating whether a customer will pay their bills. To truly understand and manage credit risk today, modern companies must look beyond the basics and leverage new technologies, alternative data, and broader information sources.
The collaboration will combine ThetaRay’s Cognitive AI Transaction Monitoring solution with Spayce’s payments infrastructure to enhance the platform’s financial crime detection capabilities. Spayce will leverage ThetaRay’s AI-first solution to ensure regulatory compliance and scale securely.
To improve operations, businesses are combining digital payment solutions and AI-powered gadgets. Take a peek at the list below if you're not up to date on the latest technological advancements. The latest , automated technologies are capable of doing repeated operations with pinpoint accuracy and precision.
Set up in 2016 by companies including Google, Microsoft, Amazon and Facebook, The Partnership on AI released a report that stated algorithmic riskassessment tools cannot properly provide the right level of transparency and accountability. This report documents the serious shortcomings of riskassessment tools in the U.S.
AI is already disrupting every area of the financial services industry, and is being included in almost every strategic conversation around technology-enabled transformation. High-quality, accurate data lies at the core of every successful AI implementation. It is here that a data-driven approach must be agreed upon.
The UK government recently outlined its National Payments Vision – plans for a next-generation payments ecosystem, built around open banking and emerging technology. As AI adoption grows, fintechs will depend increasingly on machine learning for hyper-personalised services. billion in the first half of 2024 , defying a global downturn.
Yaspa uses open banking technology to provide instant bank payments that are faster and more cost-effective than cards. Its unique Intelligent Payments solution combines Pay by Bank transactions, AI-powered verification, and real-time riskassessment into a seamless, secure experience.
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