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The rapid rise of generative intelligence is apparent from its adoption prospects across industrial sectors. Business leaders are prioritizing applications of Generative Intelligence although the challenges related to this technology adoption also need to be addressed in detail. Navigating Data Science in the Age of AI: Exploring Possibilities of Generative Intelligence can offer significant contributions in the field of generative intelligence in the context of data science and help stakeholders formulate strategies to tackle its adoption, implementation, and control challenges.This volume takes a comprehensive view of the application of AI in the area of data science and how technology is transforming businesses in a range of industries. From FinTech to the use of chatbots to decision making to banking, the potentials as well as challenges are wide and far-reaching. The research presents a diverse range of authors from around the globe, bringing their unique perspectives and expertise to the conversation.Advances in Digital Technology and Data-Driven Business Practices examines the possibilities, challenges and ethics of a range of technologies applied in business, including: Metaverse, Marketing Automation, Search Engine Optimization (SEO), Search Engine Marketing (SEM), Social Media Marketing, Content Marketing, Analytics and Data Analysis, Augmented Reality (AR) and Virtual Reality (VR), Chatbots and Artificial Intelligence (AI). Adopting and adapting to these technologies is essential for staying competitive and effectively reaching target audiences.
Babita Singla, Chitkara Business School, Chitkara University, Punjab, IndiaKumar Shalender, Chitkara Business School, Chitkara University, Punjab, IndiaNripendra Singh, Department of Business, Economics & Communication, Pennsylvania Western University
Chapter 1. Integrating AI with Data Science: Realising Full Potential of Data-Driven Decision Making; Kumar Shalender, Babita Singla, Nripendra Singh, and Rubani Singla Chapter 2. Adapting To Generation AI: Navigating The Future of Business And Technology; T. Mangaiyarkarasi, S. Catherine, and K. Kalaiselvi Chapter 3. Artificial Intelligence (AI) and Corporate Governance: Systematic and Bibliometric Review; Hiranya Dissanayake, Deshika Nainanayake, Thiruni Jayalath, and Anuradha Iddagoda Chapter 4. AI-Powered Customer Service: The Role of Chatbots in Enhancing E-Commerce Interactions; S. Venkata Siva Kumar and Sukanya MettaChapter 5. A Look at the Recursive Potential of Generative Artificial Intelligence in the Financial Technology Sector; Ishan Bansal, Aditya Saxena, Isha Kansal, Gifty Gupta, Ashish Kumar, and Kuldeep Sharma Chapter 6. Beyond Pandora’s Box: Safeguarding Education with a bridge To an Effective AI; Akash R and Suganya V Chapter 7. Banking Transformation: Artificial Intelligence's Effect on the Current Financial Environment; Simanpreet Kaur and Anjali Chapter 8. AI Transformation: Revolutionizing the Indian Electronic Media Industry; Vijayta Taneja, Richa Chandi, and Punam Kumari
Pooja Khanna, Pooja Kansra, Tanveer Kajla, Nripendra Singh, India) Khanna, Pooja (Lovely Professional University, India) Kajla, Tanveer (NALSAR University of Law, USA) Singh, Nripendra (Pennsylvania Western University
Anand Jaiswal, Vinaytosh Mishra, Nripendra Singh, India) Jaiswal, Anand (TERI School of Advanced Studies, UAE) Mishra, Vinaytosh (Gulf Medical University, USA) Singh, Nripendra (Pennsylvania Western University
Pooja Khanna, Pooja Kansra, Tanveer Kajla, Nripendra Singh, India) Khanna, Pooja (Lovely Professional University, India) Kajla, Tanveer (NALSAR University of Law, USA) Singh, Nripendra (Pennsylvania Western University
Anand Jaiswal, Vinaytosh Mishra, Nripendra Singh, India) Jaiswal, Anand (TERI School of Advanced Studies, UAE) Mishra, Vinaytosh (Gulf Medical University, USA) Singh, Nripendra (Pennsylvania Western University