Downloads: 1 | Views: 100 | Weekly Hits: ⮙1 | Monthly Hits: ⮙1
Informative Article | Science and Technology | India | Volume 10 Issue 2, February 2021
Comprehensive Study of AI - Driven Market Forecasting Models and Their Applicability
Abstract: Accurate market forecasting is essential in today's fast - paced and intensely competitive business environment, as it helps direct strategic decision - making and ensure maximum performance for businesses. The practice of market forecasting has been fundamentally altered by the development of Artificial Intelligence (AI), a game - changing technology that appeared recently. This in - depth research investigates the varied landscape of AI - driven market forecasting models, analyzing their techniques, strengths, and limits, as well as their applicability across a variety of business sectors. The first part of the research explains the relevance of accurate market forecasting and the limitations faced by conventional approaches in the face of complex and fast - changing market dynamics. This sets the stage for the rest of the study, which focuses on how to improve established methods. After that, it goes into the fundamental ideas that underpin artificial intelligence, covering topics such as machine learning, deep learning, natural language processing, and ensemble approaches. These ideas provide the foundation for today's artificial intelligence - driven forecasting models, which give businesses the ability to tap into the potential of large data and generate valuable insights from that data. Following this, a comprehensive study of several AI - driven techniques to forecasting will be presented. These approaches will include time series analysis, sentiment analysis, market sentiment aggregation, and predictive modeling. Case examples illustrate the use of these methodologies in a variety of fields, including but not limited to the financial industry, the e - commerce industry, the energy industry, and the healthcare industry. The research also digs into the ethical issues that surround the use of AI for market forecasting, with an emphasis on transparency, the reduction of bias, and responsible data use.
Keywords: Precise Market Forecasting, Companies and Organizations, AI - Driven Forecasting, Financial Industry, Online Retail, Healthcare, The Energy Industry
Edition: Volume 10 Issue 2, February 2021,
Pages: 1705 - 1709