Description: The rapid developments of artificial intelligence (AI) and predictive analytics drive powerful changes in competitive decision-making capabilities of industries worldwide. The growing dependence of modern organizations on predictive information from AI enables them to improve their business intelligence systems and optimize their operational procedures as well as develop strategic solutions. The combination of machine learning and big data analytics with AI-controlled automation accelerates operations and innovates business approaches to seek long-term market superiority. Harnessing AI and Predictive Analytics for Decision-Making and Competitive Advantage examines the current progress in AI technology with emphasis on its uses for business intelligence analysis, risk evaluation, marketing methods, and more. It presents a thorough discussion about organizational strategies for using AI to develop data-based decisions which drive competition. Covering topics such as business resilience, employment dynamics, and risk response, this book is an excellent resource for academicians, industry professionals, policy analysts, government officials, and more.
Brief description: Dr. Prashant Kumar Siddhey holds a Doctorate and Master's in Management and boasts a comprehensive professional journey spanning over 17 years in both the industrial and academic realms. Currently serving as a Professor at Prestige Institute of Business Management, Indore, he brings a wealth of experience from collaborating with renowned institutes and universities, demonstrating adeptness in successfully managing diverse academic and administrative responsibilities. Dr. Siddhey has also contributed significantly as a founding member in administrative roles within various universities. With a prolific record, he has authored over 40 publications, including books, research articles, case studies, and journals indexed in ABDC/ Scopus/ WoS etc. Actively engaged with Industrial and Academic Societies, Dr. Siddhey remains a dynamic and integral part of the academic and industrial communities.