Table of Contents
Introduction to Generative AI
Generative AI involves using artificial intelligence to create content. In the evolving technological landscape, generative AI rapidly emerged as a key player, revolutionizing the way we create and interact with content. It affects not just technology but also our social, economic, and political dynamics.
Generative AI refers to AI systems capable of creating text, images, or other media. This marks a shift from the traditional Professional Generated Content (PGC) and User Generated Content (UGC) that have dominated the Web 2.0 era to AI Generated Content (AIGC) that will define Web 3.0.
Applications of Generative AI in Finance
How is Generative AI Used in the Financial Sector?
The financial sector inherently deals with vast amounts of data and relies heavily on efficient information processing. Generative AI enhances this by providing advanced capabilities in data analysis, pattern recognition, and predictive modeling.
Generative AI is most commonly used for intelligent customer service (smart chatbots) and advisory services. AI systems can analyze customer queries and offer precise, personalized responses based on comprehensive knowledge bases. This extends to 24/7 customer support, predictive customer profiling, and offering bespoke financial advice.