Kwami Ahiabenu,II Knowledge Chief

  Kwami Ahiabenu ll Before banking or financial systems, individuals provided either cash or an item to another individual within an arrangement that the borrower would return said cash or item to the lender with or without interest in the future. Peer to Peer lending occurs when a lender and borrower transact business without the role of any intermediary. P2P lending differs from traditional lending whereby a financial institution serves as an intermediary, mobilising capital from its client base and lending.The fast-paced fintech innovation has driven peer-to-peer lending. According to  The Business Research Company,  global P2P lending is valued at US$143.64billion in 2023. Peer-to-Peer lending is categorised into: Informal P2P lending  — wherein an individual within a circle of friends or colleagues requests a loan, usually through face-to-face interaction or phone call. The transaction is usually undocumented and trust-based — on the network’s ability to influence the behaviour of

Kwami Ahiabenu ll Investment is not an easy journey. The complexity of investment instruments, coupled with multiple investment offerings means a typical investor is faced with a maze to navigate when it comes to the decision-making process in terms of what investment options to consider, duration of the investment, risk analysis, types of investment portfolio and opportunities to consider. Traditionally, investment advisors play a crucial role in helping prospective investors make decisions on investment options which can lead to optimum investment decisions. In a fast-growing digital age where innovations in the financial sector are the norm, coupled with the rise of emerging technologies, especially big data, artificial intelligence and machine learning have given birth to Robo-advisors. A Robo-advisor can be described as a computer application that is based on an automated analytics processing system that combines algorithms, including machine learning, with big data to generate a

Kwami Ahiabenu, Global Centre for FinTech Innovations, Canada abstract  This chapter outlines the risks and challenges involved in implementing central bank digital currency (CBDC). Interest in CBDC is currently growing, with a number of central banks paying it serious consideration, and a number of countries are implementing or piloting CBDC. Although CBDC holds a great deal of promise, its implementation is not without difficulty. This chapter highlights the major implementation issues, such as CBDC contributing to financial exclusion, technology risks, CBDC’s inability to work in an offline environment, lack of privacy, and confidential consideration, since anonymity is difficult to achieve. The chapter concludes by highlighting the need to deploy CBDC with greater attention paid to societal, economic, and political factors instead of a purely technocratic approach. Read more at  https://www.igi-global.com/gateway/chapter/full-text-html/319798 To cite :  MLA Ahiabenu, Kwami. "U

Our first in-person Technology Salon DC in three years convened on January 25, 2023, to pose the question:  Can Generative Artificial Intelligence Technology Improve Aid Outcomes?  Thought leaders and decision makers across the international development space shared their optimism, skepticism, and uncertainty regarding generative AI and its consequences as we move closer to the  uncanny valley . The moderated and free-flowing discussion was informed by four experts in artificial intelligence uses for humanitarian aid: Craig Jolley , Data Scientist, USAID Kwami Ahiabenu II , Co-founder, Penplusbytes Prasanna Lal Das , Digital Policy Consultant, DIAL ChatGPT , Generative AI Chatbot, OpenAI What is Generative AI and Why Does It Matter? Generative artificial intelligence  uses AI and machine learning algorithms in order to generate new content such as text, images, audio, video, simulations, and code. ChatGPT—short for Generative Pre-trained Transformer—is one of the most well-known exampl

Investment is not an easy journey. The complexity of investment instruments, coupled with multiple investment offerings means a typical investor is faced with a maze to navigate when it comes to the decision-making process in terms of what investment options to consider, duration of the investment, risk analysis, types of investment portfolio and opportunities to consider. Traditionally, investment advisors play a crucial role in helping prospective investors make decisions on investment options which can lead to optimum investment decisions. In a fast-growing digital age where innovations in the financial sector are the norm, coupled with the rise of emerging technologies, especially big data, artificial intelligence and machine learning have given birth to Robo-advisors. A Robo-advisor can be described as a computer application that is based on an automated analytics processing system that combines algorithms, including machine learning, with big data to generate a wide range of auto