Mr. Sagar Bharat Shah

Enhancing Fintech with AI-Driven Forecasting Techniques.

Abstract:

The financial technology (Fintech) landscape is rapidly evolving, with Artificial Intelligence (AI) and Machine Learning (ML) at the forefront of innovation. Accurate forecasting is paramount in Fintech for applications ranging from fraud detection and risk management to algorithmic trading and customer behavior prediction. This talk will delve into the application of various forecasting techniques within the realm of AI and ML in Fintech. We will explore how time series analysis, moving average models, exponential smoothing, and the understanding of trend, seasonal, and cyclical effects can be leveraged to build robust and intelligent financial systems. The discussion will highlight the significance of these forecasting methods in creating predictive models that drive better decision-making, optimize resource allocation, and ultimately enhance the efficiency and security of financial services. This presentation will also touch upon the alignment of this research with advancements in AI and its broader implications for the future of Fintech.