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Showing posts from January, 2023

How Generative AI Can Improve Aid Outcomes

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

What is a Robo-Advisor?

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