Navigating data science : unleashing the creative potential of artificial intelligence

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 Scie...

Full description

Saved in:
Bibliographic Details
Other Authors Singla, Babita (Editor), Shalender, Kumar (Editor), Singh, Nripendra (Editor)
Format Electronic eBook
LanguageEnglish
Published Bingley, U.K. : Emerald Publishing Limited, [2025]
SeriesAdvances in digital technology and data-driven business practices ; 2
Subjects
Online AccessFull text
ISBN9781836083009
DOI10.1108/9781836082989
Physical Description1 online resource (168 pages).

Cover

LEADER 00000nam a2200000Ii 4500
001 em-9781836083009
003 UtOrBLW
005 20250429180024.0
006 m o d
007 cr |||||||||||
008 250429t20252025enk ob 001 0 eng d
020 |a 9781836083009  |q (e-book) 
040 |a UtOrBLW  |b eng  |e rda  |c UtOrBLW 
080 |a 658 
082 0 4 |a 006.3  |2 23 
245 0 0 |a Navigating data science :  |b unleashing the creative potential of artificial intelligence /  |c edited by Babita Singla (Chitkara Business School, Chitkara University, Punjab, India), Kumar Shalender (Chitkara Business School, Chitkara University, Punjab, India), and Nripendra Singh (Pennsylvania Western University, USA). 
264 1 |a Bingley, U.K. :  |b Emerald Publishing Limited,  |c [2025] 
264 4 |c ©2025 
300 |a 1 online resource (168 pages). 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
490 0 |a Advances in digital technology and data-driven business practices ;  |v 2 
504 |a Includes bibliographical references and index. 
505 0 |a Chapter 1. Data Science and Artificial Intelligence: Exploring Collaborative Potential for Healthcare Sector / Kumar Shalender, Babita Singla, and Nripendra Singh -- Chapter 2. The Next Wave in Marketing: Data Science in the Age of Generative AI / M. Kalaivani, Suganya V, N.V. Suresh, and S. Catherine -- Chapter 3. Analysing Indian Science and Technology Indicators Using Data Science: A Global Perspective / Anant Bhatt, Rubani Singla, Shilpa Gite, Shruti Patil, and Ketan Kotecha -- Chapter 4. Unveiling the Enigma of Shadow: Ethical Difficulties in the Field of AI / S. Catherine, N.V. Suresh, T. Mangaiyarkarasi, and Leena Jenefa -- Chapter 5. Influence of Ethical AI Practices on Gig Workers' Trust and Psychological Well-being / K. Shanthi and Suganya V -- Chapter 6 Decoding the ethical concerns in AI based decisions using Big Data / Anvesha Jain, Shrishti Singh, and Ruchi Jain -- Chapter 7. From Ideation to Publication: Ethical Practices for Using Generative AI in Academic Research / Jaswinder Pal Singh, Neha Mishra, and Babita Singla -- Chapter 8. Future Trends and Emerging Possibilities in AI / Simarjit Kaur, Shveta Bansal, and Aashima Sharma. 
520 |a 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: Unleashing the Creative Potential of Artificial 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. The research presented here delves into the combined capability of DS and AI with specific reference to real-world business scenarios. From analysing the use of New Age innovations in marketing to science and Technology and the Healthcare sector, the authors contributed to enhance the body of knowledge in the field of DS and AI. The ethical considerations of using AI tools in education, academic research, and Gig workers have also been dealt with in detail in the book. The impact of technology in moulding the overall well-being of employees within the specific framework of their work-life has been discussed by the authors as a key issue to be considered by organizations today. 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. 
588 0 |a Print version record. 
650 0 |a Artificial intelligence  |x Social aspects. 
650 0 |a Creative ability in technology. 
655 7 |a elektronické knihy  |7 fd186907  |2 czenas 
655 9 |a electronic books  |2 eczenas 
700 1 |a Singla, Babita,  |e editor. 
700 1 |a Shalender, Kumar,  |e editor. 
700 1 |a Singh, Nripendra,  |e editor. 
776 0 8 |i Print version:  |z 9781836082996 
776 0 8 |i PDF version:  |z 9781836082989 
856 4 0 |u https://proxy.k.utb.cz/login?url=https://doi.org/10.1108/9781836082989