Fintech
The Future of Money? Exploring the Potential of Next-Generation Artificial Intelligence in FinTech
Small businesses in India have benefited immensely from the rise of fintech startups. These companies provide various financial services, including sophisticated financial and inventory management software, payment gateways, and access to credit and investments. This one-stop-shop approach empowers small businesses by streamlining operations and making financial management easier. Geographical boundaries are also being eliminated by fintech, which promotes financial inclusion, makes financial services digitally accessible, and enables businesses to thrive in the digital age. Additionally, the landscape is being further disrupted by machine learning (ML) and artificial intelligence (AI). While personalized financial products ML and AI algorithms simplify loan approval processes, both improve the overall customer experience.
Growth of artificial intelligence
Gen AI is one of the many advances and innovations in AI in recent years. A branch of artificial intelligence (AI) and a subset of machine learning (ML) technology, artificial general intelligence (GenAI) focuses on developing systems that can produce new data, including audio, video, and images. The foundation of Gen AI is Large Language Models (LLMs), which can create easily readable material after ingesting large volumes of data, including text and documents. It could be argued that GenAI can empower fintech companies and financial service providers by enabling cost and efficiency savings, redefining customer interfaces, improving forecast accuracy, and strengthening risk management and compliance.
Fraud detection and prevention
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Gen AI excels at identifying patterns and anomalies. By analyzing transactions in real time, Gen AI algorithms can detect suspicious activity and prevent fraudulent transactions more accurately and efficiently, protecting consumers and financial institutions.
Personalized financial products and services
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Gen AI can understand customer behavior and preferences by analyzing spending habits and financial goals. This allows Fintech companies to offer personalized financial products, investment strategies, and budgeting tools, improving customer satisfaction and loyalty.
Simplified customer onboarding and interactions
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Gen AI-powered chatbots can handle routine inquiries, speed up customer onboarding processes, and personalize customer communication. This reduces the burden on human customer service representatives and provides a more convenient experience for users.
Automated report generation and data analysis:
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Gen AI can generate financial reports, analyze market trends, and identify investment opportunities more efficiently. This frees up time for finance professionals and allows them to focus on higher-level strategic activities.
However, the adoption of generative artificial intelligence (Gen AI) in fintech presents several challenges that need to be addressed.
A major concern is ensuring that Gen AI models are unbiased and fair. Financial judgments from AI systems need to be clear and understandable to users. Users may become suspicious or reluctant if they need help understanding the reasoning behind a decision, which erodes trust. Additionally, if AI models are trained on biased datasets, they may deliberately reinforce existing assumptions. Therefore, to ensure fairness and integrity in the financial services industry, it is essential to create techniques to explain AI decisions and regularly audit AI systems for bias.
Regulations must change as Gen AI becomes more deeply embedded in financial technology to take advantage of the unique opportunities and challenges it presents. Conventional financial regulations may need to sufficiently cover the fine details of AI-driven operations. Regulators must create new regulations that address the special characteristics of AI technology, such as its ability to rapidly learn and adapt, while ensuring that AI applications comply with existing laws. Maintaining financial stability, protecting consumer rights, and responsibly promoting innovation depend on AI systems complying with these ever-evolving laws.
Financial technology is integrating next-generation artificial intelligence at an astonishing rate.
According to an analysis by Statista, the generative AI market is expected to reach $0.76 billion in 2023 and grow by 27.66% annually (CAGR 2023-2030) to reach $4.20 billion by 2030. Fintech’s Gen AI technology will only increase its benefits and accessibility.
One of the most vital assets and distinguishing features of fintech organizations will be GenAI. Analyzing linguistic data and finding patterns in it can, for example, help automate investment allocations based on an individual’s age and income. It can also enhance the fintech experience by using GenAI to detect user experiences and recommendations. Additionally, since GenAI helps identify questionable activity, it finds great application in fraud detection and prevention. Analyzing transaction history and identifying anomalies creates fraud alerts and highlights potentially illegal activity.
Fintech has a revolutionary opportunity with Gen AI. We can expect even more innovative uses of Gen AI as the technology develops and legal frameworks change, advancing the fintech industry and empowering consumers and businesses alike.
to know more
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Fintech
Lloyds and Nationwide invest in Scottish fintech AI Aveni
Lloyds Banking Group and Nationwide have joined an £11m Series A funding round in Scottish artificial intelligence fintech Aveni.
The investment is led by Puma Private Equity with additional participation from Par Equity.
Aveni creates AI products specifically designed to streamline workflows in the financial services industry by analyzing documents and meetings across a range of operational functions, with a focus on financial advisory services and consumer compliance.
The cash injection will help fund the development of a new product, FinLLM, a large-scale language model created specifically for the financial sector in partnership with Lloyds and Nationwide.
Joseph Twigg, CEO of Aveni, explains: “The financial services industry doesn’t need AI models that can quote Shakespeare, it needs AI models that offer transparency, trust and, most importantly, fairness. The way to achieve this is to develop small, highly tuned language models, trained on financial services data, vetted by financial services experts for specific financial services use cases.
“FinLLM’s goal is to set a new standard for the controlled, responsible and ethical adoption of generative AI, outperforming all other generic models in our selected financial services use cases.”
Robin Scher, head of fintech investment at Lloyds Banking Group, says the development programme offers a “massive opportunity” for the financial services industry by streamlining operations and improving customer experience.
“We look forward to supporting Aveni’s growth as we invest in their vision of developing FinLLM together with partners. Our collaboration aims to establish Aveni as a forerunner in AI adoption in the industry, while maintaining a focus on responsible use and customer centricity,” he said.
Fintech
Fairexpay: Risk consultancy White Matter Advisory acquires 90% stake in fintech Fairexpay
Treasury Risk Consulting Firm White Matter Alert On Monday he announced the acquisition of a 90% stake in the fintech startup Fair payment for an undisclosed amount. The acquisition will help White Matter Advisory expand its portfolio in the area of cross-border remittance and fundraising services, a statement said. White Matter Advisory, which operates under the name SaveDesk (White Matter Advisory India Pvt Ltd), is engaged in the treasury risk advisory business. It oversees funds under management (FUM) totaling $8 billion, offering advisory services to a wide range of clients.
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White Matter Advisory, based in Bangalore, helps companies navigate the complexities of treasury and risk management.
Fairexpay, authorised by the Reserve Bank of India (RBI) under Cohort 2 of the Liberalised Remittance Scheme (LRS) Regulatory Sandbox, boasts features such as best-in-class exchange rates, 24-hour processing times and full security compliance.
“With this acquisition, White Matter Advisory will leverage Fairexpay’s advanced technology platform and regulatory approvals to enhance its services to its clients,” the release reads.
The integration of Fairexpay’s capabilities should provide White Matter Advisory with a competitive advantage in the cross-border remittance and fundraising market, he added.
The release also states that by integrating Fairexpay’s advanced technology, White Matter Advisory aims to offer seamless and convenient cross-border payment solutions, providing customers with secure options for international money transfers.
Fintech
Rakuten Delays FinTech Business Reorganization to 2025
Rakuten (Japan:4755) has released an update.
Rakuten Group, Inc. and Rakuten Bank, Ltd. announced a delay in the reorganization of Rakuten’s FinTech Business, moving the target date from October 2024 to January 2025. The delay is to allow for a more comprehensive review, taking into account regulatory, shareholder interests and the group’s optimal structure for growth. There are no anticipated changes to Rakuten Bank’s reorganization objectives, structure or listing status outside of the revised timeline.
For more insights on JP:4755 stock, check out TipRanks Stock Analysis Page.
Fintech
White Matter Advisory Acquires 90% Stake in Fintech Startup Fairexpay
You are reading Entrepreneur India, an international franchise of Entrepreneur Media.
White Matter Advisory, which operates under the name SaveDesk in India, has announced that it is acquiring a 90% stake in fintech startup Fairexpay for an undisclosed amount.
This strategic move aims to strengthen White Matter Advisory’s portfolio in cross-border remittance and fundraising services.
By integrating Fairexpay’s advanced technology, White Matter Advisory aims to offer seamless and convenient cross-border payment solutions, providing customers with secure options for international money transfers.
White Matter Advisory, known for its treasury risk advisory services, manages funds under management (FUM) totaling USD 8 billion.
Founded by Bhaskar Saravana, Saurabh Jain, Kranthi Reddy and Piuesh Daga, White Matter Advisory helps companies effectively manage the complexities of treasury and risk management.
The SaveDesk platform offering includes a SaaS-based FX market data platform with real-time feeds for over 100 currencies, bank cost optimization services, customized treasury risk management solutions, and compliance guidance for the Foreign Exchange Management Act (FEMA) and other trade regulations.
Fairexpay is a global aggregation platform offering competitive currency exchange rates from numerous exchange partners worldwide. Catering to both private and corporate customers, Fairexpay provides seamless money transfer solutions for education, travel and immigration, as well as simplifying cross-border payments via API and white-label solutions for businesses. Key features include competitive currency exchange rates, 24-hour processing times, extensive currency coverage of over 30 currencies in more than 200 countries, and secure, RBI-compliant transactions.
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