Fintech
New FinTech course explores language-based artificial intelligence
Finance may be an industry dominated by numbers, but David Papa ’90 believes that words are the key to creating high-performing portfolios.
Investors are increasingly using AI tools to inform their financial decisions, the professor says Finance (and Bentley graduate) explains. He notes that natural language processing (NLP) programs, which recognize and interpret patterns in human speech and text, are proving particularly adept at transforming massive amounts of data, gleaned from earnings call transcripts, annual reports, announcements of acquisitions and other finance-related company data. communications: into actionable information.
This fall, Pope teamed up with colleague Bentley Tamara Babaianprofessor of Computer Information Systems (CIS), to introduce “Investing Applications of Natural Language Processing” (FT 370), an interdisciplinary course that gives students a comprehensive look at the theoretical foundations and practical applications of NLP programs in the financial industry. A required course for students majoring in Financial Technologies (FinTech)features weekly lab sessions that teach students how to create their own machine learning models using Python, a popular programming language.
According to Pope, these hands-on coding sessions set Bentley apart from other universities offering FinTech courses. “Having firsthand experience coding NLP programs gives our graduates a deeper understanding of the technology and its applications, and therefore a competitive advantage,” he explains, noting that the cutting-edge information covered in class is “so new that it they are still not even found in textbooks.” .” Instead, it offers students access to newly published research papers and personal and professional insights: Founder and CEO of Analysis of vocal craftsmanship – a company that uses artificial intelligence to analyze “vocal characteristics imperceptible to the human ear” that reveal the speaker’s “true emotional state and intentions hidden in his words” – Pope has more than 30 years of experience in financial and data analysis.
For the course’s culminating project, he and Babaian assigned students to build their own NLP programs using the Gunning Fog Index (GF), a measure of language complexity based on sentence length and the number of syllables per word. “Executives who use complex language in earnings calls typically do so to obfuscate or delay the release of bad news,” Pope explains, “and as a result, their companies’ stocks underperform.” Based on their program results, students created portfolios with stocks purchased from companies with lower GF ratings (i.e., simpler language in their earnings calls) – portfolios that “would outperform the S&P 1500 by 3.8% every year from January 2011 to June 2023″. ”, he observes.
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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