Using AI-Driven Decision-Making Tools in Corporate Investment Planning

Author:

Devapitchai Joel Jebadurai1ORCID,S. V. Krishnapriya1,S. P. Karuppiah1,P. William Robert2ORCID,Saranya S.3

Affiliation:

1. St. Joseph's College of Engineering, India

2. Saveetha School of Management, Saveetha Institute of Medical and Technical Sciences, Chennai, India

3. NPR College of Engineering and Technology, Dindigul, India

Abstract

Artificial intelligence plays a crucial role in financial sectors, especially in investment planning. It enhanced or replaced traditional investment planning by applying AI techniques such as machine learning, natural language processing, deep learning, and robo-advisors. This chapter presented the applications of AI-enabled decision-making tools in various functional areas of corporate investment planning such as quantitative trading algorithms, risk management systems, portfolio optimization tools, algorithmic trading, forecasting and prediction of securities market, automated portfolio building, data analysis, asset management, and personalized investment advice. Also, this chapter presented the case studies, success stories, and benefits of AI applications in corporate investment planning. This chapter will be very useful for corporate companies and investors to transform their mode of traditional investment planning to technology-oriented investment planning.

Publisher

IGI Global

Reference35 articles.

1. Transforming financial planning with AI-driven analysis: A review and application insights

2. Machine Learning and Portfolio Optimization

3. Implementation Of An Artificial Intelligence And Machine Learning Powered Financial Decision-Support System For Stock Market Speculators.;I.Bandyopadhyay;Educational Administration: Theory and Practice,2024

4. Chen, Y. (2023). Designing an Investment Research System for Asset Management Based on Natural Language Processing (Doctoral dissertation, Massachusetts Institute of Technology).

5. Application of Artificial Intelligence in Stock Market Forecasting: A Critique, Review, and Research Agenda

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