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AI: a modern “Deus ex Machina” by Niki Kouri Maglaras

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AI: a modern “Deus ex Machina” by Niki Kouri Maglaras

Highlighting the pioneering work of Frank Rosenblatt, Kouri-Maglaras observes, “Frank Rosenblatt is sometimes called the father of deep learning for his pioneering work on artificial neural networks and the invention of perception in 1958.”

This first neural network could learn new skills through trial and error, simulating human thought processes. However, time constraints led to the first “AI winter,” with progress stalled due to challenges in handling unstructured data and insufficient computing power.

The resurgence of artificial intelligence research in the 1980s marks a historic moment for the technology.

Kouri-Maglaras explains: “Neural network research came back into prominence in the 1980s, and new researchers began studying Rosenblatt’s work again.”

The development of backpropagation algorithms, which allow neural networks to make adjustments based on errors, has been a significant advance. “Backpropagation is a simple way of using computation to train a multilayer neural network by propagating the effect of an error backwards.”

The turning point came with advances in hardware, particularly the development of GPUs by companies like NVIDIA.

“NVIDIA GPUs were invented for graphics processing, which became widely used in gaming and general graphics rendering in the late 1990s,” says Kouri-Maglaras. Unlike CPUs, which handle tasks in series, GPUs perform parallel processing, which is essential for the massive computations required in modern AI models like GPT-4, which boasts a whopping 1 trillion parameters.

As we enter the new millennium, the convergence of hardware innovation and the explosion of digital data have catalyzed the exponential growth of AI. Kouri-Maglaras quotes Ernest Hemingway to illustrate this phenomenon: “Gradually, then suddenly, which is exactly how exponential functions work.”

He points out that venture capital investment in AI began to increase around 2014, further accelerating development.

The impact of AI on computing power has been staggering. According to Moore’s Lawthe number of transistors on integrated circuits doubles about every 18 months, leading to a billion-fold improvement in processing efficiency over the past 30 years. “Our cars haven’t even gotten ten times more efficient in that same time frame,” says Kouri-Maglaras.

This exponential growth in processing power, coupled with the enormous amounts of data generated by digital communications, has been instrumental in training increasingly sophisticated artificial intelligence models.

In the insurance industry, AI is revolutionizing operations and customer interactions. Prudential Financial, under Kouri-Maglaras, is leveraging AI for customer service, product recommendations, and financial wellness optimization.

“We can take care of all the requests, like giving me the status of my claim, getting me my personal contract, getting me my premium paid,” he explains. AI-powered chatbots and virtual assistants improve customer service by providing immediate and accurate responses.

The potential of AI extends to loss prevention and promoting health and financial well-being. Kouri-Maglaras highlights the use of AI-powered wellness apps to track physical activity, measure health metrics, and incentivize healthier behaviors.

“The idea is to use a total wellness app to track physical activity, measure steps and heart rate via smartwatches and smartphone apps, and modify behavior through incentives and goals,” he said. Similar principles apply to financial health, where advanced optimization algorithms offer dynamic, personalized financial planning and recommendations.

However, the rapid pace of AI progress requires responsible and ethical use. Kouri-Maglaras stresses the need for proper governance and protections, saying, “AI is only as good as our data, only as good as we are.” He drew a parallel with ancient Greek drama, where characters such as Euripides, Aeschylus, and Sophocles represented different worldviews, reflecting the ethical considerations needed in AI today.

Kouri-Maglaras echoed Bill Gates’ sentiment: “Sometimes we overestimate the impact of AI in the short term and underestimate it in the long term.” He emphasized that while current AI applications are transformative, the future holds even greater potential as computing power continues to grow exponentially.

“We’re definitely scratching the surface.”

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We are the editorial team of FinCrypto, where seriousness meets clarity in cryptocurrency analysis. With a robust team of finance and blockchain technology experts, we are dedicated to meticulously exploring complex crypto markets with detailed assessments and an unbiased approach. Our mission is to democratize access to knowledge of emerging financial technologies, ensuring they are understandable and accessible to all. In every article on FinCrypto, we strive to provide content that not only educates, but also empowers our readers, facilitating their integration into the financial digital age.

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Lloyds and Nationwide invest in Scottish fintech AI Aveni

FinCrypto Staff

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Lloyds and Nationwide invest in Scottish AI fintech 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.

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Fairexpay: Risk consultancy White Matter Advisory acquires 90% stake in fintech Fairexpay

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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.

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Rakuten Delays FinTech Business Reorganization to 2025

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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.

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White Matter Advisory Acquires 90% Stake in Fintech Startup Fairexpay

FinCrypto Staff

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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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