Artificial Intelligence Enabled Businesses: How to Develop Strategies for Innovation (eng)

This book has a multidimensional perspective on AI solutions for business innovation and real-life case studies to achieve competitive advantage and drive growth in the evolving digital landscape.

Artificial Intelligence-Enabled Businesses demonstrates how AI is a catalyst for change in business functional areas. Though still in the experimental phase, AI is instrumental in redefining the workforce, predicting consumer behavior, solving real-life marketing dynamics and modifications, recommending products and content, foreseeing demand, analyzing costs, strategizing, managing big data, enabling collaboration of cross-entities, and sparking new ethical, social and regulatory implications for business. Thus, AI can effectively guide the future of financial services, trading, mobile banking, last-mile delivery, logistics, and supply chain with a solution-oriented focus on discrete business problems. Furthermore, it is expected to educate leaders to act in an ever more accurate, complex, and sophisticated business environment with the combination of human and machine intelligence.

The book offers effective, efficient, and strategically competent suggestions for handling new challenges and responsibilities and is aimed at leaders who wish to be more innovative. It covers the early stages of AI adoption by organizations across their functional areas and provides insightful guidance for practitioners in the suitable and timely adoption of AI. This book will greatly help to scale up AI by leveraging interdisciplinary collaboration with cross-functional, skill-diverse teams and result in a competitive advantage.

Audience
This book is for marketing professionals, organizational leaders, and researchers to leverage AI and new technologies across various business functions. It also fits the needs of academics, students, and trainers, providing insights, case studies, and practical strategies for driving growth in the rapidly evolving digital landscape.

Sweta Dixit, PhD, is an associate professor in the Sharda School of Business Studies, Sharda University, Greater Noida, India. She has authored one book and published research articles and case studies on emotional intelligence, global mobility, performance management, and organizational culture. Dixit also conducts sessions on emotional intelligence, self-awareness, leadership, and negotiation skills.

Mohit Maurya, PhD, is an associate professor in the Sharda School of Business Studies, Sharda University, Greater Noida, India. He has published several research papers in national and international journals and delivered lectures on hyper-localization, digital marketing, branding, business ethics, etc. He has authored 3 books. His scholarly work won the Emerald - AUC School of Business Cast Writing Competition in 2020.

Vishal Jain, PhD, is an associate professor at Sharda University, Greater Noida, India. His research interests focus on information retrieval, the semantic web, ontology engineering, data mining, etc. He has edited 50 books for a variety of publishers and authored more than 100 research papers for reputed conferences and journals. Jain has several awards, which include the 2012 Young Active Member Award and the 2019 Best Researcher Award.

Geetha Subramaniam, PhD, is a professor at the Faculty of Education, Languages, Psychology, and Music, SEGI University, Kuala Lumpur, Malaysia. Her research focuses on labor economics, sustainable development issues, teaching & learning, and educational management issues. She has published more than 100 journals, co-authored two economics textbooks, and is the managing editor of the Malaysian Journal of Qualitative Research.