Fintech
Fintech, Great Language Models Meet in Heaven

A judge comments on the projects during the HICOOL Global Entrepreneur Competition held in Beijing in June. (Photo provided to China Daily)
The rapid rise of new technologies, especially artificial intelligence represented by large language models, is driving transformative changes in China’s financial sector. However, more efforts are needed to overcome regulatory and ethical challenges to fully exploit their potential, experts said.
The comments came after a series of policy documents were issued to support and cultivate quality new productive forces in the financial sector. In April, the China Banking and Insurance Regulatory Commission, the Ministry of Industry and Information Technology and the National Development and Reform Commission jointly issued a notice to deepen AI-related financial services in the manufacturing sector to help advance new industrialization. The document stressed the need for lenders and insurers to implement innovation-driven development strategies.
Xin Guobin, vice minister of industry and information technology, said that a technology, industry and finance integration initiative has been launched to explore industrial and financial cooperation in innovative ways. Over the past three years, the initiative has facilitated more than 830 billion yuan ($114 billion) in corporate financing, supporting more than 290,000 high-quality enterprises and involving more than 2,400 financial institutions.
As financial institutions work to help the real economy adopt cutting-edge technologies, it is equally important for them to adopt the latest technologies for innovation, experts added.
Yang Xiaojing, an AI standards expert at the Internet Society of China, said China’s fintech industry is among the world’s leaders, especially in mobile payments.
“Driven by a strong consumer market and technological advances, China has become one of the world’s largest fintech markets. Chinese companies, talents and technologies are increasingly integrating and influencing the global industrial supply chain,” Yang said.
Artificial intelligence technology, particularly LLMs, is rapidly evolving and reshaping the financial industry.
Yang, who has followed the development of AI in finance through three stages, pointed out that from 2010 to 2014, AI was mainly used for analytical purposes.
From 2015 to 2020, the availability of vast unstructured data enabled machine learning to discover new investment factors. It was then that Yang and his team successfully integrated Baidu’s search data and spatio-temporal data with deep learning technology to launch the first automated credit bond analysis service (Credit IQ) and the first AI-based mutual fund in the domestic capital market. Credit IQ successfully implemented automated monitoring for 500 billion yuan worth of credit bonds in four months.
The third phase began in 2020, when LLMs, combined with industry-specific knowledge and intelligent agents, began to replace some aspects of productivity in the financial sector, Yang added.
For example, OpenAI, the US company that developed ChatGPT, sees finance as a primary application area for its technologies. Working with Morgan Stanley, it introduced an AI-powered investment advisor that uses GPT-4, and more recently partnered with US social media site Reddit to use community content to train the model.
Yang said that AI applications in finance can be divided into four major areas: intelligent risk control, robotic investment advisors, intelligent customer service, and AI-assisted investment research.
“China’s leadership in digital banking transformation puts it at the forefront of intelligent risk control,” Yang said, adding that banks such as the Industrial and Commercial Bank of China and the Agricultural Bank of China have developed proprietary LLM platforms for intelligent risk and operation control.
Roboinvestment advisors have seen significant adoption in the United States, and Chinese online securities platforms such as Eastmoney and Tonghuashun have also launched LLM-backed smart dialogue services, Yang said.
Intelligent customer service is a priority for all financial institutions, given their large user base and immediate demand. AI-assisted investment research is an area of ​​growing interest for domestic and international investment firms, the expert added.
Despite all the progress, however, the regulatory framework and ethical standards for AI applications in finance are still evolving, experts say.
“The AI ​​era is likened to critical infrastructure such as water and electricity, which require global cooperation. While the United States is leading in model development, China is rapidly catching up with significant progress in AI patents and applications,” Yang said.
As a judge for the HICOOL Global Entrepreneur Competition held in June, Yang observed a strong presence of overseas projects, highlighting the potential for global collaboration. He sees a promising future for Sino-US cooperation in AI, benefiting global AI development and promoting a responsible AI ecosystem.
“Collaborative efforts and exchanges between experts from both countries can lead to mutual progress and innovation in the financial sector,” Yang added.
Fintech
Lloyds and Nationwide invest in Scottish fintech AI Aveni

Lloyds Banking Group and Nationwide have joined an ÂŁ11m 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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