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Singapore-based insurtech firm bolttech is integrating generative AI tools from Amazon Web Services (AWS) to improve customer service, automate workflows, and reduce costs across its global operations. The company has built a generative AI platform called the “bolttech Gen AI Factory” using Amazon Bedrock.
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?
Therefore, […] The post Maximizing MSME Loan Portfolios: AI-Driven RiskAssessment Strategies appeared first on Finezza Blog. By March 2024, for instance, the MSME loan segment witnessed a 17.8 % growth compared to the same period the previous year. The total valuation of the loan portfolio increased to INR 64.1
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.
Looking to empower businesses with comprehensive, real-time insights into individual companies credit profiles, martini.ai , the AI-driven credit analytics firm has launched Agentic AI Company Research. By merging credit spread data with essential corporate information, Agentic AI Company Research by martini.ai The post martini.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. .
In many realms of businesses, machine learning (ML) and artificial intelligence (AI) have yielded powerful tools to manage such complex matters. percent of organizations in this sector currently use AI, according to PYMNTS’ latest research. Yet, these advanced computational systems have a long way to go in healthcare administration.
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.
AI and machine learning: Strengthening security and financial access Artificial intelligence is transforming riskassessment and fraud prevention in the payment ecosystem. AI plays a crucial role in fraud detection and compliance, ensuring that financial inclusion does not come at the cost of security.
Lithuania-based regtech provider iDenfy has announced the launch of its AI-enabled Customer RiskAssessment solution, completing its KYC/KYB/AML compliance suite.
But according to Umazi, a next-generation compliance and digital identity platform leveraging AI and Web3 to automate due diligence and riskassessments, while here in the UK business and government face a number of challenges to its roll-out, the rewards could not be greater.
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 AI technologies in compliance and financial services.
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.
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).
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. Vice President Yina Arenas.
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.
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.
Cytora has announced the latest version of its digital risk processing platform. enhances the capabilities of the platform by harnessing agentic AI in a fully explainable way. Cytora Platform 3.0
The fintech sector is currently undergoing a significant transformation, with artificial intelligence (AI) and machine learning at the forefront of this change. RiskAssessment and Management Machine learning is fundamentally transforming the landscape of riskassessment and management within the financial sector.
This demand is driving a transformative shift towards leveraging Artificial Intelligence (AI) and automation to redefine credit and riskassessment strategies. In the dynamic world of financial services, the need for rapid and precise credit decisions has never been more crucial.
Artificial intelligence (AI) is also gaining traction, particularly for riskassessment and operational efficiency. In particular, cloud computing is becoming increasingly prevalent, with 60% of banks in Singapore migrating their core systems to the cloud.
The merchant underwriting process is a critical step that payment processors and financial institutions use to assess the risk associated with onboarding new businesses. Key steps include application review, riskassessment, credit checks, and compliance verification. Learn More What is Merchant Account Underwriting?
The five-day event saw experts from across the financial market come together to discuss and learn about AI-driven financial services, investment platforms, strategic partnerships, fraud prevention and more. LEAP 2025 featured a dedicated Fintech Track, covering digital banking, blockchain applications, and AI in finance.
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.
It combines behavioral biometrics, behavioral analytics, advanced malware detection, and network and device assessment to provide active and preemptive defense against threats. ” Headquartered in San Mateo, California, Feedzai offers technology that leverages AI to help businesses fight fraud and financial crime. .
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.
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.
We explore the innovations in personalised insurance products, the role of IoT devices in data collection and riskassessment, and the challenges faced by established insurance companies integrating new technologies. Enhanced RiskAssessment IoT data provides insurers with a more accurate understanding of risk profiles.
Artificial intelligence (AI) is transforming fintech. However, the debate continues: should AI replace human decision-makers or serve as an augmentation tool? While AI excels at processing vast datasets, it lacks human intuition. A balanced approach is necessary to harness AIs power without compromising human oversight.
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.
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.
With the advance of AI innovation continuing to accelerate, the payments industry is today exploring a wider range of AI use cases than ever before. Our proprietary AI-driven AML intelligence platform spans several core areas, including sanctions screening, transaction monitoring and client risk scoring.
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.
There are countless technologies banks are employing to help them in this task, but none are as effective as artificial intelligence (AI). The practical applications for AI extend far beyond credit riskassessment and detection, however.
Its unique Intelligent Payments solution combines Pay by Bank transactions, AI-powered verification, and real-time riskassessment into a seamless, secure experience. Yaspa uses open banking technology to provide instant bank payments that are faster and more cost-effective than cards.
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.
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.”
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.
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. Technological demands The financial services industry loves generative AI, but even though it is the hottest topic in fintech at the moment, it comes with its own set of restrictions. Hint: It’s Not AI.
There is scarcely a financial institution (FI) that does not claim to be using artificial intelligence (AI) in some capacity or other. What some banks purport to be AI is often lumped together with other less sophisticated computational systems or, in some cases, not AI at all but the result of intensive human labor.
These circumstances have brought to the fore what has long been a central concern for lenders: assessing and managing credit risk. This vital task is complicated even in normal times due to the multitude of financial risk factors in play at any given time. Among banks that use AI, 92.9 percent today.
Feedzai has launched Feedzai IQ , a fraud intelligence solution that uses anonymized, distributed data to deliver real-time riskassessments without compromising customer privacy. Key features include TrustScore and TrustSignals , which provide network-wide fraud risk scores and indicators to improve accuracy and payment acceptance.
The latest JAGGAER software release offers new artificial intelligence (AI)-based ways of measuring risk and optimizing the purchasing process, a press release says. Users will be able to assign a single assessment status for suppliers, which will let suppliers update it at any time. The JAGGAER ONE 20.3
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