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Financial Strategies

Financial Strategies
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Author(s): Rakhi Shukla (ICFAI Business School, The ICFAI University, India), Anagha Bhope (Indira School of Business Studies, India), P. Selvakumar (Nehru Institute of Technology, India), Shivprakash Varimani (Chandigarh Group of Colleges, Jhanjeri, India), Mohit Sharma (Maharshi Dayanand University, India)and T. C. Manjunath (Rajarajeswari College of Engineering, India)
Copyright: 2025
Pages: 30
Source title: AI Methods for Environmental Protection and Resource Conservation
Source Author(s)/Editor(s): Monia Ben Ltaifa (College of Community in Abqaiq, King Faisal University, Saudi Arabia)and Abdelkader Mohamed Sghaier Derbali (Taibah University, Saudi Arabia)
DOI: 10.4018/979-8-3373-3246-8.ch008

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Abstract

AI-driven financial strategies provide by leveraging machine learning, predictive analytics, and big data, financial institutions and policymakers can enhance their decision-making processes to drive positive environmental. This includes analyzing climate patterns, monitoring carbon emissions, assessing biodiversity loss, and predicting natural disasters. AI-driven models can detect subtle correlations and trends that human analysts may overlook, enabling more accurate risk assessments and strategic investments in sustainable projects. Additionally, AI can enhance green finance initiatives by evaluating the environmental impact of corporate activities, promoting transparency, and ensuring compliance with global sustainability regulations. Green bonds and sustainable investments their development. AI-powered algorithms analyze financial and environmental data to assess the long-term viability of green projects. For instance, AI can predict the financial returns of renewable energy projects based investing by evaluating company performance based on sustainability metrics.

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