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Full Description
Transforming Financial Management with AI, BI, and Data-Driven Decision Making offers a comprehensive exploration of how emerging technologies are revolutionising the financial landscape. This timely work delves into the powerful convergence of artificial intelligence, business intelligence, and data analytics, providing financial professionals with a roadmap to harness these tools for operational efficiency, risk mitigation, and strategic growth. Through a blend of theoretical insights and practical implementation strategies, readers will gain a deep understanding of how to navigate and lead in a rapidly evolving financial environment.
As organisations grapple with the exponential growth of data and the increasing complexity of digital tools, the ability to make informed, data-driven decisions has become a critical differentiator. This essential guide for business leaders, analysts, and decision-makers offers real-world case studies, actionable frameworks, and applied methodologies, it empowers readers to translate technological potential into measurable business outcomes—driving innovation, eliminating inefficiencies, and achieving sustained competitive advantage in the data-driven era.
Contents
Chapter 1. Leveraging AI and Business Intelligence for Strategic Financial Management in BRICS Economies: A Data-Driven Approach to Global Competitiveness; Rajan Kangotra, Mukul Bhatnagar, Rupa Khanna, and Ercan Ozen
Chapter 2. Leveraging AI-Driven Business Intelligence for Personalised Nutrition in FemTech: An Integrated Framework for Data-Driven Women's Health Innovation; Sabina Sehajpal, Kusum Lata, and Larisa Mistrean
Chapter 3. Leveraging AI and Business Intelligence for Financial Decision-Making in the Age of Deepfakes: Enhancing Consumer Trust and Marketing Resilience; Tushar K. Savale, Dilpreet Kaur, and Sandeep M. Kamble
Chapter 4. Artificial Intelligence, Deepfakes, and Corporate Intelligence: A Systematic Literature Review on Ethical and Strategic Implications for Business Transparency and Decision-Making; C. A. Vishwanathan Iyer and Nilesh P. Gokhale
Chapter 5. A Study in Understanding the Impact of Implementing Artificial Intelligence Blue Ocean Strategies in Achieving Sustainable Development; Reepu, Bhupinder Pal Singh Chahal, and Prince Vohra
Chapter 6. Integrating AI, BI, and Data Analytics in Modern Financial Management; Nishi Bhardwaj, Arvinder Kaur, Luan Vardari, and Swati Gupta
Chapter 7. Cultivating Tomorrow's Harvest: The Confluence of AI and Human Ingenuity in Modern Agriculture for Sustainable and Efficient Farming; Megha Sharma and Manisha Semwal
Chapter 8. Leveraging AI and Business Intelligence for Economic Transformation in SAARC Nations; Pawan Kumar, Timilehin Olasoji Olubiyi, and Varinderjeet Singh
Chapter 9. Smart Supply Chains: Leveraging AI and BI for Better Decision-Making in Logistics; Elif Hasret Kumcu, Monika Khanna, Manisha Khanna, and Khem Chand
Chapter 10. Application of Artificial Intelligence In Improving Corporate Governance and Sustainability; Vivek Sharma, Padam Bhushan, Satinderpal Singh, and Mohit Kukreti
Chapter 11. AI-Driven Assessment and Rehabilitation in Physiotherapy: Challenges and Opportunities; Harshika Joshi, Maman Paul, Rinku Yadav, and Gaurav Pant
Chapter 12. Business Intelligence Applications for Strategic Decision-Making in Automotive Supply Chains; Amar Johri, Mukul Bhatnagar, Sanjay Taneja, and Sanjeet Kumar
Chapter 13. Energy Efficiency and Sustainability in Smart Homes: A Study of Challenges and barriers in sustainable building materials and Smart homes design; Manu Sharma, Sudhanshu Joshi, Prachi Bisht, and Mukesh Prasad
Chapter 14. Integrating AI and Data Analytics: Transforming Business Education for the Digital Age; Vidushi Chandola, Priyanka Gupta, and Himanshu Joshi
Chapter 15. Artificial Intelligence in Diabetes Management: A New Frontier in Precision Medicine; Ashish Gaur, Maman Paul, Narpinder Singh, and Gaurav Pant
