This site uses cookies to improve your experience. To help us insure we adhere to various privacy regulations, please select your country/region of residence. If you do not select a country, we will assume you are from the United States. Select your Cookie Settings or view our Privacy Policy and Terms of Use.
Cookie Settings
Cookies and similar technologies are used on this website for proper function of the website, for tracking performance analytics and for marketing purposes. We and some of our third-party providers may use cookie data for various purposes. Please review the cookie settings below and choose your preference.
Used for the proper function of the website
Used for monitoring website traffic and interactions
Cookie Settings
Cookies and similar technologies are used on this website for proper function of the website, for tracking performance analytics and for marketing purposes. We and some of our third-party providers may use cookie data for various purposes. Please review the cookie settings below and choose your preference.
Strictly Necessary: Used for the proper function of the website
Performance/Analytics: Used for monitoring website traffic and interactions
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?
Global analytics software firm FICO has been named a leader in The Forrester Wave: AI Decisioning Platforms, Q2 2025 report. According to Forrester, AI decisioning platforms “transform how organisations operationalise both human intelligence and AI at scale, enabling faster, more accurate decisions across complex business processes.”
The article explores the growing threat of AI-enabled fraud in the payments sector and how firms can combat it with advanced technologies. It highlights the urgent need for payments firms to address AI-driven fraud to protect financial security, maintain customer trust, and comply with regulations. Why is it important?
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.
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.
Ant International has launched its new artificial intelligence platform, Alipay+ GenAI Cockpit, as part of a broader AI strategy aimed at helping fintech companies and super apps develop more secure and efficient financial services. The firm also claimed its fraud loss rate is significantly below the industry average.
According to a Forrester survey, 98% of financial institutions believe that AI and ML can give them an edge and improve how they do business. This article explores the case for integrating AI into your finance function, the route to achieving it, and how your business can step change as a result. Usecases of AI in finance.
In this blog I share some insights on how we at AdviceRobo do this so you can learn from it and build your own infrastructure of trust with AI. As the world accelerates toward an AI-first economy, one truth is becoming inescapable: no digital transformation will succeed without the right infrastructure.
The EU Parliament approved the Artificial Intelligence (AI) Act today. It’s no secret that AI is a double-edged sword. For every positive usecase, there are multiple ways humans can use the technology for nefarious purposes. Member states agreed upon the regulation in December 2023.
The business world is changing fast, giving Chief Financial Officers (CFOs) and their teams a chance to use Generative Artificial Intelligence (Generative AI) for innovation and efficiency. Generative AI can help in saving costs, making better decisions, and developing skills. This enhances customer experience and loyalty.
In light of this, this May we are looking to spotlight blockchains usecases and where the tech is going next. With the AI boom appearing to take off almost overnight in early 2023, the sector has not looked back, leaping from one milestone to the next. We asked experts across the fintech sector to share their views.
AI is , transforming the finance sector, especially in financial planning and analysis (FP&A). Using machine learning algorithms is crucial to make FP&A functions more responsive, insightful, and efficient. Why Should FP&A Leaders Consider to Integrate AI? Some typical examples of AI applications are: 1.
In a rapidly evolving financial services industry, Alexandra Mousavizadeh , Co-Founder and CEO of Evident , is steering the company to the forefront of Artificial Intelligence (AI) transformation in banking. Evident , a benchmarking and intelligence firm, specialises in authoritative, data-driven insights on corporate AI adoption.
In this report, we will delve into all aspects of Vena Solutions , including customer feedback, assessments from software review platforms like G2 , advantages and disadvantages, as well as pricing information. Vena AI function (Vena Copilot) Review In April, 2024, Vena announced that it is creating an AI chatbot function. "Vena
It highlights how innovation, regulation, AI, and risk management 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.
The service allows clients to adapt the models to their specific task or usecase. ThetaRay reports that teaming up with Microsoft will allow it to bring firms a GenAI-powered case manager that will detect financial crime, adapt strategies over time, and meet legal reporting standards. Vice President Yina Arenas.
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.
Artificial intelligence (AI) is also gaining traction, particularly for risk assessment and operational efficiency. In particular, cloud computing is becoming increasingly prevalent, with 60% of banks in Singapore migrating their core systems to the cloud.
Paytiko GrowthHub is not merely a novel feature; it is a technological advancement that integrates AI-powered intelligence, automation, and data-driven insights into a single, integrated platform. AI consistently monitors this metric with GrowthHub, comparing current performance to historical benchmarks and regional standards.
So while I could play it safe and predict that the top fintech trend in 2024 will be AI, or industry consolidation, or even growth in the use of buy now, pay later tools, I’m going to step into less charted territory and say that the 2024 fintech buzzword will be quantum computing. Hint: It’s Not AI.
These circumstances have brought to the fore what has long been a central concern for lenders: assessing and managing credit risk. This is one reason why credit risk has emerged as one of the most promising applications of artificial intelligence (AI). Potential usecases and reality, however, are two different things.
With the advance of AI innovation continuing to accelerate, the payments industry is today exploring a wider range of AIusecases than ever before. Our proprietary AI-driven AML intelligence platform spans several core areas, including sanctions screening, transaction monitoring and client risk scoring.
In this episode of Credit on the Go , host David Schmidt sits down with Rich Ferrara, former Dun & Bradstreet executive and business data consultant, to unpack how digital innovation, AI, and fintech are reshaping the industry.
From fresh AI applications to the new uses for embedded finance, fintech is experiencing a renewed momentum. ” The panel will look at the rise of lending integrations, the role of AI in risk assessment, embedded finance regulation, and more.
The funding arrives less than a year after its previous raise and is intended to scale product development, particularly in the areas of AI integration and operational infrastructure. Payabli plans to allocate the funds toward strengthening its go-to-market strategy, customer success operations, and development of AI-driven features.
Integrating Phygital data—combining physical cash and digital payments—will enrich data quality, empowering AI to deliver precise insights and enhance financial inclusion.” In contrast, asynchronous payments could serve niche usecases, such as ticketing or peer-to-peer gifting, if paired with clear user warnings and fallback mechanisms.
Finalists in the corporate categories were evaluated based on impact, sustainability, practicality, interoperability, and creativity, while individual submissions were assessed on contributions to the Singapore fintech sector. Four finalists were shortlisted in each category.
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.
AI, automation, and embedded insurance are just some of the technologies driving change in everything from underwriting and claims to customer engagement, leading many industry firms and leaders to rethink their approach. AI-powered chatbots have also evolved significantly. Here’s what they had to say.
million (100 million Singaporean dollars) to fund quantum computing and AI projects. designed to support banks and other financial institutions as they innovate and develop capabilities in both quantum computing and artificial intelligence (AI) technologies. The AI component of FSTI 3.0 is designed in large part to remedy this.
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 new market research suite by Juniper Research offers a comprehensive assessment of the B2B payments market. The extra remittance data that modern systems support can enable usecases such as automated accounting; drawing businesses to modern payment rails.
Artificial Intelligence (AI) is fundamentally changing how businesses operate across all sectors, including manufacturing, healthcare, IT, and transportation. Advancements in AI over the last decade are presenting opportunities for companies to automate business processes, transform customer experiences, and differentiate products offerings.
Resolving disputes can be time intensive, forcing banks to take on the administrative tasks required to gather and assess evidence. This is where artificial intelligence (AI) technologies like Adaptive Decisioning are proving invaluable. Spotting The Fakers.
Amid rising fraud, emerging technologies like embedded finance, AI, and stablecoins, and intensifying global competition, the Financial Conduct Authority (FCA) faces mounting pressure to recalibrate its approach to regulationor risk holding back the very sector it aims to protect.
He mentioned that these are the real-live usecases powered by the Temenos SaaS platform. Institutions must first begin by assessing how best to integrate cloud solutions into their operations. They then move core banking systems to the cloud, followed by optimisation, using cloud-native tools to enhance performance.
The European Union ‘s latest AI Act, published yesterday, reflects the forward-thinking and innovation-driven attitude of the region as it looks to regulate the way organisations develop, use and apply artificial intelligence (AI). Firms that fall into the first category are those that useAI for things like spam filters.
AI-powered shopping assistant, Klarna is leading the way for financial services when it comes to artificial intelligence (AI) implementation. The company has been able to increase its productivity using the tech without compromising customer experience. Yet it only scratches the surface of genAI and LLMs’ potential.
AI, automation, and embedded insurance are just some of the technologies driving change in everything from underwriting and claims to customer engagement, leading many industry firms and leaders to rethink their approach. To find out, we once again asked industry participants for their views. Here’s what they had to say.
Covid to Cost-of-Living: Assessing Affordability in Uncertain Times. Affordability Assessments and Unrestrained Lending. Triggered in part by the US housing market collapse and an unprecedented number of loan defaults, the crisis uncovered a shocking level of unrestrained lending and excessive risk taking. by Matt Cox.
Key Features of Pigment Pigment AI Pigment AI introduces new capabilities to the Pigment platform, enhancing business teams' ability to make faster and more informed decisions. Users can interact using natural language in a chat-like interface, enabling quicker and more intuitive access to answers.
17) the launch of Deloitte Catalyst , a group of startups that explores how technologies, like blockchain and Internet of Things, can be used for business applications. In a statement, Deloitte LLP Chief Executive Officer Cathy Engelbert said Deloitte Catalyst has enabled Deloitte to launch these usecases.
“We continuously assess and address the evolving risks as well as the needs of the digital asset ecosystem, as we remain committed to fostering responsible innovation within the financial landscape. This years assembly focused on the role of artificial intelligence (AI) in the financial services sector.
billion to acquire LLamasoft, whose artificial intelligence (AI)-powered software is used by companies to help manage their supply chains more efficiently. Coupa said it has agreed to spend $1.5 In July, Coupa announced a number of upgrades to its BSM offerings as well.
We organize all of the trending information in your field so you don't have to. Join 5,000+ users and stay up to date on the latest articles your peers are reading.
You know about us, now we want to get to know you!
Let's personalize your content
Let's get even more personalized
We recognize your account from another site in our network, please click 'Send Email' below to continue with verifying your account and setting a password.
Let's personalize your content