In today’s fast-paced digital world, the financial sector is undergoing a revolutionary transformation powered by artificial intelligence (AI). Among the latest breakthroughs reshaping customer experience is voice and emotion recognition technology.&nbsp;&nbsp;Imagine a banking advisor who doesn’t just hear your words but truly understands the feelings behind them—detecting frustration, confusion, or excitement—and tailors financial advice accordingly. This is no longer sci-fi but rapidly unfolding reality, and banking is becoming more human, intuitive, and personal than ever before.&nbsp;<h4>What is Voice and Emotion Recognition Technology?</h4> Emotion and voice recognition technology integrates natural language processing (NLP) and affective computing to not just analyze the content of a dialogue but also the tone, pitch, rate, and subtlety of vocal signals that communicate a human's emotional state.&nbsp;&nbsp;Through advanced AI algorithms, banks are able to decipher emotions like stress, happiness, hesitation, or confidence in real-time over phone, video calls, or even SMS-based interactions.&nbsp;This technology allows chatbots and financial advisors to respond empathetically, adapt the tone of their conversation, and suggest financial options that best meet a client's emotional requirements and frame of mind.&nbsp;<h4>Why Does Emotion Recognition Matter in Financial Advisory? &nbsp;</h4><ol><li>Increasing Customer Trust and Satisfaction: Money planning is usually an emotional game—clients can be worried about investments, against loans, or enthusiastic about new businesses. A sensitivity to these feelings enables advisors to give empathetic feedback that creates rapport and trust. Customers' happiness and fidelity skyrocket when they are understood deeply.</li><li>Shaping Financial Advice for Emotional Context: Emotion-friendly AI will recognize whether a client is stressed or over-whipped and break down tricky information in an easy manner. If a client is, however, in a state of euphoria, specialists can propose more bold investment concepts. The process of personalized guidance yields wiser financial choices and better results.</li><li>Accurate Identification of Potential Financial Distress: Voice analysis can pick up distressed or frustrated voice cues that are likely signs of underlying financial issues. Intervening early can allow banks to actively provide assistance, e.g., budgeting schemes or debt management counseling, to stem default threats and boost customer loyalty.</li></ol>&nbsp;<h4>How AI-Powered Emotion Detection in Banking Works</h4> AI systems compare different vocal traits such as:&nbsp;<ol><li>Pitch: Increased pitch may signify excitement or nervousness.</li><li>Speech Rate: Faster speech may signify nervousness; slower speech may signify thoughtfulness.</li><li>Volume: Variations in loudness indicate confidence or frustration.</li><li>Pauses and Hesitations: Silences between words indicate hesitation or doubt.</li></ol>&nbsp;Combined with textual sentiment analysis—words' meaning or sentiment used—AI constructs a full emotional profile of the customer in real time.&nbsp;These findings are then communicated to conversational agents or human consultants via dashboards, which enable them to change their tone, pace, and recommendations in real time.&nbsp;<h4>Applications in the Real World: How Top Banks Use This Technology &nbsp;</h4><ol><li>AI-Powered Virtual Assistants: Emotion-sensing chatbots offer soothing assurances as customers become frustrated and walk them patiently through financial solutions.</li><li>Call Center Insights: Supervisors listen in on advisors' calls for emotional cues, delivering higher levels of service and determining what training is required.</li><li>Investment Advice: Suggestions for risk tolerance are adjusted by robo-advisors based on the customer's emotional condition sensed through interactions.</li></ol>&nbsp;<h4>Benefits Beyond Personalized Banking &nbsp;</h4><ol><li>Fraud Detection: Abrupt changes in emotional tone may signal fraud, allowing banks to label suspicious transactions.</li><li>Compliance: Emotional analysis helps dialogue meet regulatory requirements of transparency and impartiality.</li><li>Marketing: Emotion insights facilitate extremely targeted promotions speaking directly to customers' moods and inclinations.</li></ol>&nbsp;<h4>Challenges and Ethical Issues</h4> Even if promising, emotion detection in finance poses essential questions:&nbsp;<ol><li>Privacy: Customers need to be notified and agree to emotional data harvesting.</li><li>Bias: AI should be trained on different voices to prevent inaccuracies.</li><li>Transparency: The banks are under a duty to explicitly describe how emotion information is being utilized.</li></ol>&nbsp;<h4>The Future of Emotion-Aware Financial Services</h4> As voice technology and AI continue to advance, get ready for emotion recognition as a fundamental support pillar of customer-centric banking. The future could involve the inclusion of facial expression analysis via video calls or biometric signals to enable increased emotional comprehension.&nbsp;This technology centered on individuals does not only promise to optimize monetary returns, but it also promises to turn banking from a transactional to an actually caring, empathetic one. &nbsp;<h4>Conclusion</h4><h4>&nbsp;</h4>Voice and emotion recognition technology is changing the nature of financial advising by making personalized, emotionally intelligent financial services much easier to implement.&nbsp;&nbsp;Understanding emotions behind the sentiment helps AI-driven systems evaluate the implications of the emotional and financial ramifications of a conversation, allowing financial advisors to tailor their guidance and implement active empathic engagement with clients, who have their own emotional and financial situation, and, ultimately, their own financial journey. Utilizing technology to create an empathic union is changing the future of finance, one conversation at a time.

Discover how voice and emotion recognition technologies are reshaping financial advisory, enabling banks to deliver empathetic, tailored customer experiences.

Voice & Emotion AI: Personalized Financial Advisory | NewsOnFloor

Voice and emotion recognition technology is transforming financial advisory by enabling banks to understand customers’ feelings during calls or chats. Using AI to analyze vocal cues and emotional states, financial institutions can offer personalized, empathetic advice that improves customer trust, satisfaction, and financial outcomes.

Voice and Emotion Recognition in Financial Advisory: Personalized Banking That Understands You

In a daring conflation of science and capital, space technology is venturing into fintech, dropping new eyes—literally and figuratively. With satellites orbiting high above the earth, they're no longer snapping photos of our planet; they're collecting essential data that's revolutionizing financial risk assessment, insurance modeling, and proper lending.&nbsp;Welcome to Fintech in Space, where insights from space data guide decisions back on Earth—rural Indian farm loans, flood-risk insurance claims, and maximizing creditworthiness in risky supply chains worldwide.&nbsp;<h4>Why Satellite Data Matters in Finance</h4> Traditionally, insurers and banks have relied on past history, paper reports, and on-site surveys to assess risk and coverage. These are often weak in real-time accuracy, especially in disaster-risk prone regions, emerging countries, or remote regions.&nbsp;Satellite imagery—introduce a game-changer with high-resolution, real-time, and accurate environmental and geographic data. With the advent of AI and geospatial analytics, fintech firms can now interpret satellite imagery to:&nbsp;<ul><li>Value crop yield and value</li><li>Value natural disasters and weather patterns</li><li>Value land value and property loss</li><li>Value supply chain disruptions and logistics</li></ul>&nbsp;<h4>Precision Transcending Farm Loans</h4> Farmers who are small in size are often plagued with obtaining credit since they don't have documentation and collateral. Satellite imaging can now:&nbsp;<ul><li>Value vegetation in real-time and allow lenders to be able to make precise yield projections</li><li>Value the value of drought or flood risk in a particular area and re-finance accordingly</li><li>Verify ownership and usage of land, allowing the ease of loan underwriting and openness</li><li>Fintech firms are working with agritech platforms and space agencies to offer location-based low-risk financial products to farmers that empower them and reduce defaults.</li></ul>&nbsp;<h4>Disaster Insurance: From Days to Hours</h4> Prior to this, it would take weeks to settle disaster claims. Satellite images can now:&nbsp;<ul><li>Identify flood, storm, or wildfire damage quickly</li><li>Trigger insurance payments via parametric insurance policies or smart contracts</li><li>Reduce human verification, speeding relief to victims</li></ul>&nbsp;As an example, when satellite sensor identification of cyclone striking over an insured location happens, the policyholders are paid within hours, paperwork-free and hassle-free in times of crisis.&nbsp;<h4>Security for Supply Chain Finance</h4> Since supply chains are routed throughout the globe, any interruption or shutdown can cause financial chaos. Satellite data aids in:&nbsp;<ul><li>Tracking shipping routes, ports, and warehouses</li><li>Tracking weather events or geopolitical events affecting logistics</li><li>Enabling real-time risk scoring to inform supply chain lending choices</li></ul>&nbsp;This openness offers greater credit access for small suppliers, better risk pricing for lenders, and less surprise in global trade finance.&nbsp;<h4>Use Cases in Action</h4> India's Agri-Fintechs use satellite imagery to offer weather-indexed crop insurance and live farm credit.Africa-bound insurtech ventures are using it to settle drought claims and drive rural access to finance.Geospatial risk analysis is used by global reinsurers and hedge funds to extrapolate climate-driven investment strategy.&nbsp;<h4>Issues and Challenges</h4> Overall, finance space tech integration has been far from seamless:&nbsp;<ul><li>Data use rights and privacy need to be explicitly stated</li><li>Costs of high-resolution data and related infrastructure needed may be out of pocket</li><li>Precision of interpretation differs by AI model and local context data</li></ul>&nbsp;But as satellites get cheaper and improved, the costs to deploy are declining at an exponential rate.&nbsp;<h4>Fintech in Space in the Future</h4> We've just started. With the convergence of AI, machine learning, and space imagery, we can expect:&nbsp;<ul><li>Hyper-personalized insurance and lending products</li><li>Climate risk modeling for ESG investing and green finance</li><li>Real-time financial tracking systems of disaster zones and border markets</li></ul>&nbsp;<h4>Conclusion</h4> Space to planet earth, satellite information is revolutionizing the financial world at record speed, accuracy, and transparency. Fintech is more inclusive, responsive, and future-oriented with space technology. To shield farmers from droughts, make homes flood-free, or address intricate supply chains, fintech in space is making finance earthier—and wiser—than ever.

Explore how fintech is leveraging satellite data to assess financial risk, optimize insurance models, and transform decision-making in finance and space tech.

Fintech in Space: Satellite Data for Risk & Insurance | NewsOnFloor

Fintech in space is revolutionizing financial risk assessment and insurance by using satellite data to deliver real-time insights. From assessing crop health for agricultural loans to speeding up disaster insurance payouts and monitoring supply chains, space tech offers unmatched precision and efficiency.

Fintech in Space: How Satellite Data Is Being Used for Financial Risk Assessment and Insurance

Rehypothecation may be jargon <a href="https://newsonfloor.com/finance">finance</a> Wall Street lingo, but it is the problem of decentralized finance (DeFi) these days. Traditionally, rehypothecation is a bank double-use of customers' collateral that they have deposited (most of the time unwittingly) and utilizes it to satisfy its own lending. It has the potential to unleash the squeeze—leveraging maximum liquidity—but also carries systemic risk, as during the 2008 crisis.&nbsp;In DeFi, a world of transparency, decentralization, and self-custody, rehypothecation exists behind a veil of mystery. Can it occur in trustless, smart-contract-based universes? If yes, what are the consequences for users, protocols, and financial stability?&nbsp;This article discusses the dangers, realities, and inherent traditions of rehypothecation in DeFi, in contrast to TradFi (traditional finance) and whether rehypothecation is a liquidity requirement or waiting time bomb.&nbsp;<h4>Rehypothecation in TradFi vs. DeFi</h4>&nbsp;<figure class="table"><table><thead><tr><th>Aspect</th><th>TradFi</th><th>DeFi</th></tr></thead><tbody><tr><td>Custody</td><td>Banks and brokers hold client assets</td><td>Users maintain custody via wallets (initially)</td></tr><tr><td>Transparency</td><td>Low – often buried in contracts</td><td>High – on-chain, but often complex mechanisms</td></tr><tr><td>Use of Collateral</td><td>Reused by banks for their own leverage</td><td>Protocols can loop and reuse collateral</td></tr><tr><td>User Awareness</td><td>Limited</td><td>Varies – requires deep knowledge of protocols</td></tr></tbody></table></figure> In DeFi, rehypothecation would normally be recursive borrowing. In other words, users can: Deposit collateral in Aave, take out a stablecoin loan, and deposit it in another protocol like Compound, etc.&nbsp;Or protocols themselves may rehypothecate user-deposited assets to farm yield, mine liquidity, or stake on chains or platforms.&nbsp;This is not exactly the same form of rehypothecation in TradFi, but the effect is the same: multiple claims on the same collateral.&nbsp;<h4>Why Rehypothecation Occurs in DeFi &nbsp;</h4><ol><li>Maximizing Yield: Capital efficiency is the game of DeFi. Protocols continually attempt to maximize yield by rehypothecating across platforms.</li><li>Boosting Liquidity: When protocols rehypothecate, liquidity in lending and borrowing is amplified.</li><li>Composability ("Money Legos"): Interoperability is what DeFi is all about. Rehypothecation is the unexpected side effect of nesting protocols on top of one another.</li></ol>&nbsp;<h4>User Strategies</h4> Yield farmers will typically use recursive techniques to recurse leverage, doubling returns and also risk.&nbsp;The Risks: Where Things Can Go Wrong &nbsp;<ol><li>Systemic Leverage: The most significant threat is that different protocols may rely on the same collateral. Price shock (e.g., stablecoin depeg or crypto collapse) would trigger world-wide liquidations, which in turn would create a cascade effect across platforms.</li><li>Smart Contract Risk: The attack surface increases with more protocols added. A bug, hack, or oracle manipulation at one location can be propagated to the entire system.</li><li>User Confusion &amp; Hidden Exposure: Few realize that their holdings can be rehypothecated. While the conditions of unknown banks are opaque, however, the DeFi technology can serve as an invisible risk layer.</li><li>Liquidity Mismatch: When everyone asks for their funds at the same time (a run on a bank in digital form), protocols will have none to offer, particularly if assets are staked or locked in some other location.</li><li>Regulatory Scrutiny: If DeFi goes the more risky TradFi way, it is to be expected to be governed by the same rules. Opaque or transparent, regulators will act if there is retail user risk involved.</li></ol>&nbsp;<h4>Examples in Real Life in DeFi</h4> Terra-Luna Collapse (2022) UST was over-staked and recycled, including on Anchor Protocol.Yield illusion and liquidity built a flimsy ecosystem.When the peg broke, there was a cascading liquidation and asset blowup.&nbsp;StETH Depegging Lido's staked ETH (stETH) was over-rehypothecated.When liquidity in Curve dried up and stETH was trading at discounts to ETH, exposure holders and protocols were high and dry.<h4>&nbsp;</h4><h4>The Flip Side: Can Rehypothecation Be Good?</h4> ✅ Yes, if rehypothecation is done openly and with risk management. &nbsp;Rehypothecation can: Improve capital efficiency Enable protocol growth Smooth liquidity across chains &nbsp;But only if rehypothecation is done in an open manner, supported by healthy liquidation mechanisms, and prudent risk modeling.&nbsp;<h4>The Future: Navigating Rehypothecation in a Safer DeFi &nbsp;</h4><ol><li>Collateral Tracking Tools: Third-party dashboards and standards can track collateral flows such that users can see where and how exactly their assets get recycled.</li><li>Dynamic Risk Models: Rather than hardcoded collateral ratios, more intelligent systems would dynamically adapt demands as a function of network leverage metrics.</li><li>Segregated Collateral Pools: Certain protocols now provide opt-in rehypothecation, such that users can toggle between higher yields or secure, segregated vaults.</li><li>Audit-Driven Transparency: Regular on-chain checking and real-time dashboards can uncover hidden risks.</li></ol>&nbsp;<h4>Comittment: Two-Edged Sword</h4> Rehypothecation DeFi is neither inherently good nor bad—it is a tool. All tools do have the ability to build or demolish, however, and that remains in the user's hand.&nbsp;As DeFi matures, the industry must balance innovation with caution, ensuring that the pursuit of yield doesn’t replicate the very risks DeFi was built to eliminate. Whether you’re a builder, investor, or user, understanding how collateral flows through this ecosystem is crucial to staying ahead—and staying safe.

Explore the hidden risks of rehypothecation in DeFi. Understand how your crypto assets may be reused and the impact on security, transparency, and trust.

Rehypothecation in DeFi: Key Risks & Realities | NewsOnFloor

Rehypothecation in DeFi refers to the reuse of collateral across multiple protocols to maximize liquidity and yield. While it enhances capital efficiency, it also introduces systemic risks, including cascading liquidations, smart contract vulnerabilities, and liquidity mismatches. Real-world cases like the Terra-Luna collapse and stETH depegging highlight its dangers.

Rehypothecation in DeFi: Risks and Realities

With the unfolding pace of financial development in the present day, biometric payment cards are set to be the game-changer. With the ease of contactless payment married with the additional security of fingerprint verification, smart cards have the potential to revolutionize the manner in which consumers do business in the new digital world. No more entry of PINs and passwords—your fingerprint will unlock secure and hassle-free payments.&nbsp;<h4>What Are Biometric Payment Cards?</h4> Biometric payment cards are credit or debit cards with built-in fingerprint readers. When payment is entered, the owner authenticates themselves by merely putting their finger on the reader. This biometric information is compared to the encrypted fingerprint on the card that has been stored safely, verifying the identity of the cardholder in real-time and enabling the transaction to go through.&nbsp;<h4>Why Biometric Payment Cards Are a Security Revolution &nbsp;</h4><ol><li>Improved Fraud Protection: In contrast to conventional PIN- or signature-based cards—promptly stolen, guessed, or duplicated—biometric cards are based on irreplaceable physiological characteristics that are nearly impossible to counterfeit. This makes abuse vastly more difficult.</li><li>Eliminating the PIN Requirement: PIN typing or memorization is no longer necessary for users, not only enhancing usability but also curtailing PIN theft through shoulder surfing or skimming devices.</li><li>Seamless Contactless Payments with an Additional Boost of Security: Contactless cards are fast but lose out on security in that they permit small-value transactions without verification. Biometric cards are fast with each and every transaction being verified with the cardholder's fingerprint.</li></ol>&nbsp;<h4>How Biometric Payment Cards Work</h4> Biometric cards have an internal battery-powered fingerprint scanner embedded within it. To complete the purchase, the cardholder just places his finger on the sensor. The secure chip inside the card checks the fingerprint locally—that is, biometric information never exit the card—then, upon successful authentication, the card completes the purchase through NFC or chip-and-PIN technology.&nbsp;<h4>Benefits Over Security &nbsp;</h4><ol><li>User convenience: quicker checkout without entering PIN or signature.</li><li>Privacy Protection: Biometric data is stored within the card itself, rather than in the cloud, preserving user privacy.</li><li>Decreased Chargebacks: Cardholder verification reduces fraud-driven disputes to banks' and merchants' advantage.</li></ol>&nbsp;<h4>Challenges and Adoption Barriers &nbsp;</h4><ol><li>Cost and Production Sophistication: Manufacturing biometric cards is more costly compared to standard cards due to embedded batteries and sensors, which can serve as a deterrent to mass adoption.</li><li>Battery Life and Endurance: High battery life and card endurance in normal use is a technological challenge that requires resolution.</li><li>Consumer Awareness: Educating the users in biometric security and privacy helps to build trust and acceptance.</li></ol>&nbsp;<h4>The Future of Biometric Payment Cards</h4> With decreasing costs and enhanced reliability, biometric technologies are being tested increasingly by financial organizations worldwide in the guise of biometric payment cards for enhanced security and enhanced user experience. In an environment of increasing anxiety about fraud and cyber robbery, fingerprint-based cards present a desirable compromise between security and convenience.&nbsp;<h4>Conclusion</h4> Biometric payment cards are a leap forward from more secure, contactless payment technology. Based on fingerprint recognition technology combined with the installed base of existing standard payment cards, they represent a cost-effective combination of convenience and added security.&nbsp;&nbsp;The hybrid capability allows consumers to experience the convenience and speed of contactless payments without sacrifice in fraud protection. Unlike traditional cards relying on intercepted or relayed PINs or signatures, biometric cards authenticate the user by individual physiological characteristics, rendering unauthorized access significantly less likely.&nbsp;As biometric sensor technology continues to miniaturize, stabilize, and become more affordable, and as customers increasingly recognize the risk of digital security threats, biometric payment card adoption will increase phenomenally rapidly. Banks, merchants, and consumers all benefit from fewer fraud attempts, fewer chargebacks, and simplified payment processing.&nbsp;Biometric payment cards could be the new norm for daily payments across the globe within two years' time. With cutting-edge biometric security and contactless ease, they will transform cash payment making and usher in a future that is not only faster and more convenient but also more secure and safer. It is a noteworthy step on the journey to a simpler safer system that meets the demands of the digital age.

Explore how biometric payment cards are redefining contactless payments with fingerprint security. Safer, faster, and smarter transactions are here.

Biometric Payment Cards with Fingerprint Security | NewsOnFloor

Biometric payment cards combine fingerprint recognition with contactless payment technology to offer enhanced security and convenience. By verifying transactions through unique biometric data stored securely on the card, these cards reduce fraud risk and eliminate the need for PINs.

Biometric Payment Cards: The Future of Contactless with Fingerprint Security

In the fast-evolving era of financial technology, on the horizon looms a revolutionary frontier — Neurofinance. A novel and intriguing domain where neuroscience, finance, and cutting-edge technology converge to transform economic decision-making by consumers.&nbsp;&nbsp;It is centered at its core by the breakthrough Brain-Computer Interfaces (BCI) — computers interpreting and comprehending neural signals directly from the brain. Picture this: your brain activity predicting or enhancing your financial decisions in real time. Welcome to the dawn of Neurofinance.&nbsp;<h4>What is Neurofinance?</h4> Neurofinance is the study of the intersection of brain science and economic behavior. It explores how brain function affects financial decision-making processes such as risk evaluation, investment options, consumption, and saving. The aim is to understand more about subconscious effects on financial decisions that standard data analysis and surveys tend to neglect.&nbsp;<h4>Understanding Brain-Computer Interfaces (BCI)</h4> Brain-Computer Interface (BCI) is a computer program through which the brain is able to communicate directly with an external device. BCIs capture brain waves with sensors—i.e., EEG (electroencephalography)—to extract cognitive states like attention, feelings, or confidence-in-decision.&nbsp;&nbsp;All of this real-time neural data can be harnessed to control computers, machines, or even financial platforms.&nbsp;<h4>How Can BCI Impact Financial Decision-Making?</h4> Real-Time Emotion and Risk Detection TCAs rely on questionnaires or behavioral history to measure risk tolerance. BCI can recognize emotional responses like fear or thrill in consideration of taking an investment, allowing platforms to real-time tailor suggestions.&nbsp;&nbsp;For example, if the user's neural signals are disturbed on a high-risk trade, the system can suggest alternatives with less risk or delay the trade.&nbsp;Raising Cognitive Bias Awareness Human decisions are afflicted with cognitive bias — i.e., overconfidence or loss aversion. BCIs may identify such biases in the form of observation of behavioral patterns of brain activity for such activity so that tailored suggestions or default options nudge users to make more rational decisions.&nbsp;Maximizing Investment Strategies By monitoring neural feedback to different financial positions or news feeds, BCIs could help investors make portfolio adjustments based on their actual psychological tolerance levels to maximize satisfaction and reduce mad decisions.&nbsp;Personalized Financial Guidance Financial planners and robo-advisors with the additional technology of BCI would be able to provide highly personalized advice. These planners/advisors would not only know user inputs, but also the subconscious mental state of users, providing advice according to their momentary mental state.&nbsp;<h4>Practical Uses and Applications</h4> Neuro-Trading Desks Some fintech firms are piloting BCI-powered trading floors where they send real-time alerts to traders for stress and mental load, and thus allow for improved decision-making under duress.&nbsp;Consumer Banking and Budgeting Apps Some new banking apps can utilize BCIs in order to help consumers engage in healthier saving habits by tracking impulsivity and intervening well and in good time.&nbsp;Financial Education and Training Instructors of students and investors may be educated with emotional hot buttons by feedback loops of BCI through simulation, with habits of finance being disciplined learned.&nbsp;<h4>Challenges and Moral Problems</h4> Although there is vast promise, Neurofinance with BCI also entails vast challenges:&nbsp;Privacy and Security of Data Neural data is extremely private and personal. Handling in a secure way and permission of the user have to be guaranteed.&nbsp;User Accessibility and Comfort BCI technology today is invasive or clumsy. Its mass use will depend on how to make natural interfaces comfortable.&nbsp;<h4>Ethical Use and Manipulation Risk</h4> It is a very fine line between helpful decision support and manipulative control of consumer behavior. Firm guidelines and regulation will be essential in protecting consumers.&nbsp;<h4>The Road Ahead: Future of Neurofinance</h4> With continued advances in BCI funding, convergence into the field of finance will become progressively effortless. With big data funding and artificial intelligence funding, one day soon Neurofinance may revolutionize funding well-being by creating wiser, faster, and emotionally intelligent decisions.&nbsp;&nbsp;We can see a time when your brain waves are directly linked with your wealth portfolio, giving you more control and transparency.

Explore how brain-computer interfaces (BCIs) are transforming financial decisions by merging neuroscience with fintech. The future of neurofinance is here.

Neurofinance Brain Computer Interfaces Finance

Neurofinance with Brain-Computer Interfaces | NewsOnFloor

Neurofinance: Harnessing Brain-Computer Interfaces (BCI) to Revolutionize Financial Decisions explores how emerging BCI technology can directly read brain activity to enhance and personalize financial decision-making. By detecting real-time emotions, cognitive biases, and mental states.

Neurofinance: Leveraging Brain-Computer Interfaces (BCI) for Financial Decision-Making

While blockchain and wallets are revolutionizing our mindset towards money at this juncture, there's another more subtle but just as revolutionary financial tech that's gaining ground—time banking. It's a system that poses a radical question: What if money is not the sole unit of value in your life? What if your time and talent could purchase for you everything you require?&nbsp;In 2025, while inequality intensifies and <a href="https://newsonfloor.com/finance/fintech">mainstream finance</a> continues to be exclusive of the marginalized, time-as-currency systems are becoming the main act as systems of inclusion, dignity, and trust. They don't simply reimagine the economy— they rebuild it on human value.&nbsp;<h4>What Is Time Banking?</h4> Time banking is an exchange system where time is the currency. One time credit per hour of service you offer—such as assisting someone with a move, teaching guitar, or designing a logo—is how it works. You can exchange it for service from others in the network.&nbsp;The philosophy behind it?&nbsp;<blockquote>"Everybody's time is equal—no matter if you're a lawyer, a carpenter, or a retired teacher."</blockquote>&nbsp;This idea originated in the 1980s but is being revitalized with fresh OTT introductions of mobile apps and blockchain platforms that enable, authenticate, and project these transactions in a never-before-seen way.&nbsp;<h4>A Lifeline for the Underbanked</h4> Over 1.4 billion people worldwide are still unbanked, and even more are underbanked—without loans, insurance, or credit history. They possess time as the only asset they can consistently provide.&nbsp;Time-based economies enable:&nbsp;<ul><li>Zero-interest, collateral-free exchange</li><li>Non-credit-score, non-judgmental platforms</li><li>Community-scale cooperation and trust</li></ul>&nbsp;In developing or disaster-prone areas, time banking is a survival mechanism, turning neighbor-aiding-neighbor into organized, scaled aid.&nbsp;<h4>How Does It Work?</h4> The majority of time banking platforms work with a simple model:&nbsp;Sign Up &amp; List Your Skills: Members join a platform and specify what they can do—childcare, tutoring, machinery repair, elder care, etc.Provide Service: They answer calls in their neighborhood and provide their service.Earn &amp; Spend Time Credits: A credit is earned for each hour they provide, which can be exchanged for an hour of another's time.&nbsp;New platforms such as TimeRepublik, Hourworld, and new blockchain systems enable:&nbsp;<ul><li>Real-time matching</li><li>Reputation tracking</li><li>Transparent, fraud-proof transactions</li></ul>&nbsp;Some even incorporate location-based, availability-based, and history-based AI-based recommendations.&nbsp;<h4>FinTech Innovation Meets Local Resilience</h4> This is FinTech with heart—no disruption for profit, but innovation for access.&nbsp;Future startups are combining:&nbsp;<ul><li>Blockchain to make immutable, secure books of transactions</li><li>Smart contracts to automate service contracts</li><li>Decentralized IDs for users who have no state-issued IDs</li></ul>&nbsp;Examples:&nbsp;TimeChain (Conceptual): Decentralized network for cross-border trading of time credits.SkillLoop: Real-world application where freelancers exchange hours worked without having to touch fiat currency.HelpXchange: An online bartering network for digital nomads to exchange hours for travel or accommodation services.&nbsp;<h4>Future Potential: Will Time Replace Old Money?</h4> The possibilities are mind-boggling:&nbsp;In Education: Students might earn credits by instructing others and spend them on mentorship or career guidance.In Healthcare: Communities might trade time credits to assist with caring for the elderly or disabled.In Emergencies: Disaster zones might marshal assistance quicker than sluggish bureaucracy ever could.&nbsp;Also, in a world where AI and automation are reshaping the very definition of work, time banking may redefine "being economically valuable."&nbsp;<h4>❤️ A Human-Centered Economy</h4> Time banking doesn't trade for dollars—it heals people. It brings people together with purpose, raises dignity above digits, and rebuilds trust in a system where everyone's equal.&nbsp;Imagine a world where:&nbsp;Your grandmother's storytelling gets her a ride to the clinic.One student takes a time credit to learn Spanish and repairs your website.A farmer's crop is a painting lesson for his child.It's not utopia. It's just a new economy—where time is the capital we share.&nbsp;<h4>Final Thought</h4> In a society that prizes speed, money, and material things, time is the one asset we all own on an equal basis. Selling it may be the most daring, most generous, and most intelligent FinTech innovation so far.

What if time could replace money? Explore the future of fintech where minutes become currency. Discover time banking, community credit, and more.

Time as Currency: Lending Minutes, Not Money | NewsOnFloor

Time banking is a revolutionary FinTech concept where people trade hours of service instead of money, fostering financial inclusion—especially in underbanked communities. Platforms enable users to earn time credits by offering skills or help, which they can then spend on other services. 

Time as Currency: Can You Lend Minutes Instead of Money?

As financial tech continues to disrupt old ways of doing business, it is also transforming one of the most personal and unavoidable dimensions of human experience—how we organize and leave behind our legacies upon death.&nbsp;&nbsp;With the advent of blockchain, smart contracts, and digital assets has arrived a new landscape of FinTech solutions specifically designed to automate, secure, and streamline estate planning. Such is this new frontier—so to speak, FinTech of Death—characterized by such as automated digital wills, NFT heirlooms or digital tokens, and death-activated smart contracts.&nbsp;<h4>Automated Digital Wills: Estate Disposition Efficiencies</h4> Traditional probate of wills is clunky and typically contested. Paper wills get lost or contested, and probates are years or months in coming. Adopt computerized digital wills on the blockchain.These digital wills allow people to create legally valid, easy-to-edit documents on the web that are stored safely in decentralized ledgers.&nbsp;&nbsp;What's new about them is that they contain smart contracts—contracts that execute automatically with the conditions of the will embedded in code.&nbsp;How it works: Once the confirmed death triggers (e.g., uploading a death certificate by a trusted party or verification through oracles) have been made, the will will be released and assets transferred instantly by humans.&nbsp;Advantages: It minimizes the risk of fraud, removes the lengthy judicial process, and ensures the last wishes of the decedent acted upon immediately and clearly.&nbsp;Companies like Safe Haven and YouWills are at the forefront with user-friendly platforms that combine legal constructions with the immutability of blockchain.&nbsp;<h4>NFT Heirlooms: Legacy Tokens as Digital Inheritance</h4> Non-fungible tokens (NFTs) have inundated the digital space, symbolizing distinct ownership of digital artwork, music, virtual property, and other tangible-like assets. On everyone's mind is the question: can NFTs be the heirlooms of tomorrow?&nbsp;What are heirlooms NFTs? Heirloom NFTs are NFTs that are labeled as inherited assets of monetary or sentimental significance. NFTs, in contrast to physical heirlooms, live on the blockchain, fixed and transmissible by generations.&nbsp;Use cases: A family can gift a collection of digital art, music ownership, or virtual Metaverse real estate. They may be released in stages or released on condition with smart contracts so that heirs get them at the right time.&nbsp;Benefits: NFTs lock in provenance, reduce theft potential, and enable new artistic legacies from the previous physical gift model.&nbsp;This virtual era results in the idea of family heirlooms expanding to cyber space where cash, art, and memory converge.&nbsp;<h4>Posthumous Payments: Money That Never Sleeps</h4> Posthumous financial obligations—paying off liabilities, schooling for kids, or leaving charitable gifts—have long been taken care of by executors or trustees. FinTech technologies now enable them to be paid automatically in the guise of smart contract-initiated scheduled payments.&nbsp;How it works: Future payments—monthly stipend, subscription at renewal, or donations—are arranged by the user that come into effect upon triggering of an event qualified as death.&nbsp;Example: A donor to charity can arrange donations to his or her preferred charity once a year several years in advance, and a parent can arrange education stipends to the children.&nbsp;Advantages: Automation ensures consistency, transparency, and dispenses with the need for human agents, hence preventing delay or conflict.&nbsp;Platforms that have been trailing programmable finance and estate planning are offering these, bringing traditional estate planning to DeFi (Decentralized Finance).&nbsp;<h4>Legal and Ethical Issues</h4> While this is possible, Death FinTech is making some tough questions: Jurisdictional issues: Inheritance is managed differently all over the world. How smart contract-based wills will fare in various courts only time can tell.Technical problems: What if a smart contract is faulty or the most important key data inputs are inaccurate?Privacy and consent: Personal post-mortem information on open blockchains must be handled with utmost care.Taxation: NFT transfer and electronic property may encounter new tax landscapes, which complicate tracking.&nbsp;Regulators and lawyers are already considering these issues, though technology generally gets ahead of the law.

Explore how fintech is redefining legacies with digital wills, NFT heirlooms, and posthumous payments. The future of estate planning is here—and it’s virtual.

The FinTech of Death: Digital Wills & Posthumous Payments | NewsOnFloor

FinTech is transforming how we handle digital legacies with innovations like automated digital wills, NFT-based heirlooms, and scheduled posthumous payments.

The FinTech of Death: Digital Wills, NFT Heirlooms & Posthumous Payments

In recent years, Buy Now, Pay Later (BNPL) has emerged as a wave of consumer finance that is reshaping how consumers spend, borrow, and manage money. BNPL has helped to democratize access to expensive purchases for everyone from fashionable "millennials" to cash-strapped "Gen Z" students. Now, as the BNPL model matures and begins to enter a new phase of relative evolution – BNPL 3.0 – not everyone is on the same page.&nbsp;So what happens next? BNPL 3.0 is characterized by growing responsible lending / creditworthiness, regulations, and B2B BNPL mode. It is important to unpack this evolution and discuss BNPL's impending transition from a consumer convenience to a global economic engine.&nbsp;<h4>🌱 BNPL 1.0 to 3.0: The Evolution in Perspective &nbsp;</h4><ol><li>BNPL 1.0 - The Start: When Klarna, Afterpay, and Affirm enabled shoppers to check out and pay with interest-free installments, they provided consumers with the access they deserved by democratizing consumer credit.</li><li>BNPL 2.0 - The Growth: The mass adoption of BNPL, along with a deep integration with many payments merchants and a combination of growth through rapid scaling, were the assets that lead to the growth of embraced financial and omnichannel BNPL segments.</li><li>BNPL 3.0 - The Transition: The BNPL model is reaching a maturity level. Questions around creditworthiness, regulatory framework, and growth through sustainable scaling will help build a smarter and safer BNPL ecosystem.</li></ol>&nbsp;<h4>Responsible Lending – The Demand of the Hour</h4> Concerns about overspending, debt accumulation, and lack of transparency coincided with growing concerns about BNPL uptake as notoriety skyrocketed. BNPL 3.0 will keep the consumer's health at the forefront. ✅ Trends in Responsible BNPL:&nbsp; &nbsp;Soft Credit Checks &amp; Income Verification: Many platforms will take it a step further using AI affordability checks to assess real-time spending capability.Pro-active Debt Tracking: Placing real-time reminders, alerts, or similar behavioral nudges alerts users about upcoming payments and amounts due based on consumer behavior.Financial Literacy Integration: Newer BNPL programs are incorporating behavioral interfaces with tools that will assist the user in managing debt and understanding the risk. 🔍 Fun fact: In a 2023 survey by Credit Karma 34% of respondents who used BNPL noted missing at least one payment primarily due to not tracking their spending accurately or a lack of budgeting disk. ⚖️ The Regulatory Reckoning - Compliance is Coming!&nbsp; While BNPL fell into a significant gray area in comparison to credit cards or personal loans, this is not the case for new and existing BNPL programs and lenders, as regulatory compliance is coming to BNPL around the world. 🌐 Regulatory Activity Worldwide:&nbsp; &nbsp;<ol><li>United Kingdom: FCA set to bring BNPL lenders under the same rules as creditors including checks on creditworthiness and mandatory disclosures.</li><li>United States: Regulations imposed by the CFPB on BNPL players have moved forward with rules and guidelines for clearer fee structures, data privacy, and fair dispute resolution.</li></ol>&nbsp;<h4>B2B BNPL - The Next Billion-Dollar Opportunity</h4> It's not just about consumers in the future; B2B BNPL is about to explode as small businesses look for flexible payment terms to manage working capital, purchase inventory, and power growth. 🚀 How B2B BNPL Works: B2B BNPL works just like consumer BNPL and allows businesses to:Buy products/services from vendors or wholesalers.Pay off the price of the purchase over weeks or months.Put the payment options in their checkout or invoicing platform. 🔧 Key Players &amp; Platforms: &nbsp;Resolve, Two, and Treyd are pioneering this area of BNPL with a merchant-financed or lender-backed model.B2B marketplaces like Alibaba and Faire are adding BNPL products to their offering for their SMB customers. 🌟 Advantages of B2B BNPL: &nbsp;<ol><li><h4>Liquidity Management: smooths out working capital without debt and without needing loans, and other credit lines.</h4></li><li>Enable Growth: enables businesses to grow without hindrance of upfront payment</li><li>Vendor Loyalty: sellers get paid straight away and buyers get the flexibility—everybody wins.</li></ol><h4> What's Next for BNPL 3.0?</h4> As we move into the next round of BNPL we are witnessing the evolution of BNPL from being viewed as a shiny disruptor to the embedded core infrastructure of financial services. Here's what we expect to see:&nbsp;Future Trends: &nbsp;<ol><li>Personalization powered by AI: BNPL offers tailored to individual risk appetites and purchasing behaviours.</li><li>BNPL in niche verticals: healthcare, education, home improvement, and even travel have prepared the way for bespoke installment type uniforms.</li><li>BNPL-as-a-service (BNPLaaS): white-labeled APIs for any platform to create it's own BNPL solution.</li><li>Cross-border BNPL: serving global ecommerce with FX clarity and regulatory adherence.</li></ol>&nbsp;<h4>Final Thoughts</h4> BNPL 3.0 is not just about buy now and pay later, but creating a smarter, safer and more inclusive financial ecosystem. By doing responsible lending, whilst regulators agree on guidelines, as B2B applications proliferate, BNPL is becoming an important pillar of modern finance and not just a trend. For the fintech startups, merchants, investors, and regulators, now is the moment to adapt, innovate and lead the BNPL revolution.

Discover what’s next in BNPL 3.0 — from responsible lending and regulatory trends to the rapid growth of B2B BNPL. A must-read for fintech watchers.

BNPL 3.0: Responsible Lending, Regulation & B2B Rise | NewsOnFloor

BNPL 3.0 marks the next evolution of Buy Now, Pay Later, focusing on responsible lending, regulatory compliance, and the rise of B2B BNPL. As concerns about consumer debt and transparency grow, BNPL platforms are adopting smarter credit checks, financial literacy tools, and AI-powered risk assessments.

BNPL 3.0 – What’s Next? Responsible Lending, Regulation, and the Rise of B2B BNPL

In a data-driven world, fintech companies lead in innovation, but with data comes responsibility, especially as it pertains to handling sensitive financial information (e.g., identity). AI furnishes a variety of use cases in fintech, namely fraud detection, KYC compliance, and credit scoring, all of which require comparative amounts of high-quality data to operate. Additionally, the use of real user data inherently produces challenges with privacy, compliance, and security. With the benefit risk of utilizing real user data, synthetic data has increasingly emerged as a new way of being innovative within fintech without violating trust or compliance. Next, we’ll explain how synthetic data enables increased AI innovation, agnostic of risk, while developing privacy from legal regulations, and product testing within the financial value chain.<h4> 🧬 What is synthetic data?</h4><h4> Synthetic data is artificially generated data that has similar statistical properties to real-world data, but does not have actual personal and/or sensitive information in the dataset. The generation of synthetic data can be done with advanced techniques, such as:</h4> Generative AI models (e.g., GANs, VAEs) Rule-based simulations Agent-based modeling Statistical sampling In fintech, synthetic data means generating transactional logs, customer profiles, and credit history that seem real, but provides no risk.&nbsp;<h4>Why Synthetic Data is Important in Fintech</h4> 🔐 1. Better Data Privacy Synthetic data consists of zero real user data which makes it privacy-preserving by design. Fintechs can: Skip the data anonymization protocols Avoid GDPR, CCPA, and other compliance pitfalls Share data for testing or partnership purposes freely "Privacy by design" is no longer a nice-to-have - synthetic data allows organizations to incorporate into the AI workflow. 🤖 2. AI/ML Model Trainings with No Compromise Using real data to train machine learning models introduces bias, leakage and compliance risk. With synthetic data: You have access to clean, labeled and balanced datasets You can train models quicker, with zero risk of re-identifying anyone You can even generate edge cases (e.g. unique fraud patterns) intentionally This significantly improves development timelines and eliminates the issues presented by not having enough (or any) available protective data. 🔄 3. Faster Product Development &amp; Testing Have to test a payment API or digital banking app in a multitude of situations? Synthetic data allows you to: Stress-test your systems with volume simulations Test without waiting for real actions to take place Create safe sandbox environments for developers and QA And always without real customer data.&nbsp;<h4>Real-World Use Cases of Synthetic Data in Fintech</h4>&nbsp;<figure class="table"><table><thead><tr><th>Use Case</th><th>Description</th></tr></thead><tbody><tr><td>Fraud Detection</td><td>Generate rare and evolving fraud scenarios to improve AI response.</td></tr><tr><td>Credit Scoring</td><td>Create diverse borrower profiles to fine-tune scoring models fairly.</td></tr><tr><td>KYC/AML Compliance Testing</td><td>Simulate user behavior and edge cases without exposing real identities.</td></tr><tr><td>Neobank Launches</td><td>Test new banking products with high-fidelity fake data.</td></tr><tr><td>Open Banking APIs</td><td>Provide third-party developers with secure datasets to build integrations.</td></tr></tbody></table></figure>&nbsp;The underlying technologies that support synthetic data include: 1. Generative Adversarial Networks (GANs): linking two competing neural networks in an attempt to produce hyper-realistic synthetic datasets. 2. Differential privacy algorithms: ensuring that even synthetic outputs do not allow the disclosure of patterns derived from real data; and 3. Data augmentation tools for increasing datasets for rare use case scenarios or populations that are limited to a small group.&nbsp;Example: A neobank could use GANs to generate 1 million synthetic user profiles containing spending habits, income patterns, and geolocation tags (none of which would have any real users involved).&nbsp;<h4>📜 Acceptance by regulators &amp; potential challenges &nbsp;</h4><h4>✅ Advantages:</h4><h4> 1. Acceptance: accepted under GDPR provided it is created correctly. 2. Compliance: Provides an avenue to comply with GDPR, and a pathway for "data minimization". 3. Cross-border Activities: Able to use synthetic datasets cross-border with a limited number of constraints.</h4>&nbsp;<h4>⚠️ Potential Challenges: &nbsp;</h4><h4>1. Validation: Must be validated for statistical accuracy. 2. Domain knowledge: Data set must be created by individuals with domain knowledge specific to the financial domain. 3. Limitations: While synthetic datasets could be used in edge-cases the use of real data may be required.</h4>&nbsp;<h4>Final Thoughts</h4>&nbsp;Synthetic data in fintech isn’t just a clever workaround — it’s a strategic enabler of ethical, scalable, and secure innovation. It offers a future where powerful AI models can be trained, products can be built, and insights can be derived — without ever risking a customer’s trust.&nbsp;As fintech companies look to stay competitive while protecting user rights, synthetic data isn’t just part of the toolkit — it is the toolkit.

Unlock the power of Synthetic Data in Fintech with NewsOnFloor. Enhance data privacy & AI model training without compromising real user data. Learn more now!

Enhancing Data Privacy with Synthetic Data in Fintech | NewsOnFloor

Synthetic data is revolutionizing the fintech industry by enabling the safe development of AI models without using real user data. It mimics real financial data while preserving privacy, making it ideal for training AI, testing products, and ensuring regulatory compliance.

Synthetic Data in Fintech Enhancing Data Privacy and Training AI Models Without Compromising Real User Data

In an age of increasing regulatory oversight and cyber attacks, banks and financial institutions find themselves under increasing pressure to comply with Know Your Customer (KYC) and Anti-Money Laundering (AML) regulation.&nbsp;&nbsp;Current methods of compliance are inefficient, isolated, and time-consuming. Solution: blockchain technology—with the promise of greater efficiency, security, and transparency to the KYC and AML process.&nbsp;<h4>What Is Blockchain</h4> In essence, blockchain is a tamper-evident, decentralized digital book of records that stores transactions on multiple computers. Because data cannot be altered once entered, its immutability makes it the best option for applications that involve transparency and trust—regulatory compliance, for example.&nbsp;KYC and AML: The Compliance Challenge Know Your Customer (KYC KYC procedures mandate institutions to authenticate the identity of their customers by gathering and confirming documents such as passports, bills, and statements.&nbsp;Anti-Money Laundering (AML) AML entails transaction monitoring and behavior watchlist monitoring for suspicious activity that may reveal money laundering, terror funding, or fraud.&nbsp;Such compliance processes are usually most commonly siloed between institutions, given that they are redundant and subject to human error—resulting in higher operational expense and longer delays.&nbsp;<h4>Blockchain's Role in KYC/AML &nbsp;</h4><ol><li>A Decentralized Authenticated Ledger of Identity: Blockchain enables a single, verified customer identity to be held on a decentralized network. Once information on a customer has been verified by an institution, other holders of permissions can use it securely—avoiding duplication.</li><li>Inalterability of KYC Documents: All KYC documents uploaded onto the blockchain are dated and irreversible. This provides an open audit trail which is easy for regulators to verify.</li><li>Instantaneous Monitoring of Transactions: Smart contracts written on the blockchain can be designed to identify suspicious transactions in real-time, increasing the efficiency of AML. They can be made to include AML policies that can freeze funds or raise alarms.</li><li>Customer-Controlled Data: Blockchain allows for self-sovereign identity where customers hold custody of their data and allow selective disclosure to institutions. This preserves maximum privacy but remains compliant.</li></ol>&nbsp;<h4>Advantage of Blockchain-Based KYC/AML &nbsp;</h4><ol><li>Cost Savings: Eliminates KYC replication across institutions, saving onboarding expenses.</li><li>Speed: Accelerates onboarding through expedited identity verification and document validation.</li><li>Security: Prevents risk of data loss through cryptography protection.</li><li>Transparency: Offers regulators real-time insight into compliance information.</li><li>Interoperability: Facilitates smooth exchange of compliance information among banks, fintechs, and regulators.</li></ol>&nbsp;<h4>Real-World Applications</h4> HSBC and ING are testing blockchain-based KYC systems to facilitate global trade finance.Dubai International Financial Centre (DIFC) released a blockchain-based KYC platform for efficient client onboarding across the UAE.&nbsp;R3's Corda, a blockchain consortium, is piloted for KYC sharing across banks.&nbsp;<h4>⚠️ Challenges &amp; Considerations &nbsp;</h4><ol><li><h4>Data Privacy Regulation: Blockchain immutability contradicts laws such as GDPR, which necessitates the delivery of erasability of user information.</h4></li><li>Standardization: In the absence of international standards, interoperability across various blockchain systems could be affected.</li><li>Onboarding Trust: Institutions need to trust the first validator of a customer's KYC details in order to reuse it.</li><li>Regulatory Uncertainty: Shifting legislation concerning blockchain and crypto may affect adoption.</li></ol>&nbsp;<h4>The Future of Blockchain and Compliance</h4> With blockchain maturing and going more mainstream, its use in regulatory technology (RegTech) will be progressively deeper. We are heading towards a compliant model that is cooperative—one where regulators, banks, and customers all reside within an open, streamlined environment facilitated by blockchain.&nbsp;Technologies such as Zero-Knowledge Proofs (ZKPs) and privacy-preserving blockchains will soon see their regulatory issue of data visibility addressed, rendering blockchain a utility but the future backbone for AML and KYC compliance.&nbsp;<h4>Final Thoughts</h4> Blockchain for AML and KYC is not a technology innovation—it's a new model for trusting, complying, and getting to know one another in the digital money universe. Employing a shared ledger architecture, banks can minimize costs, maximize security, and enhance the customer experience, all in harmony with regulation.&nbsp;As finance becomes more interconnected around the world, doing it with blockchain for compliance is not just clever—it's unavoidable.

Unlock the power of Blockchain for KYC & AML Compliance with our innovative Shared Ledger Approach. Stay ahead with NewsOnFloor. Explore now!

Blockchain for KYC & AML Compliance | NewsOnFloor

Blockchain technology is revolutionizing KYC (Know Your Customer) and AML (Anti-Money Laundering) compliance by offering a shared, tamper-proof ledger for secure and efficient identity verification. Instead of duplicating efforts across institutions, verified customer data can be reused with permission, reducing costs, speeding up onboarding, and improving security

Blockchain for KYC & AML Compliance A Shared Ledger Approach

Get the latest fintech news, trends, and innovations shaping the future of finance. Stay informed with expert insights on NewsOnFloor.

Fintech News & Trends | Finance Innovations | NewsOnFloor

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