New Perspectives on Enterprise Decision-Making Applying Artificial Intelligence Techniques

This book provides techniques and methodologies to improve decision-making and increase success in various industries, such as agriculture, financial services, logistics, energy services, and health. It collects and consolidates research contributions from different sectors, including supply chain, business intelligence, e-commerce, and social media. It is useful for students, professionals, and researchers in industrial engineering, computer science, information systems, and data analytics.

Format: Hardback
Length: 508 pages
Publication date: 08 June 2021
Publisher: Springer Nature Switzerland AG

This comprehensive book offers a wealth of techniques and methodologies aimed at enhancing the decision-making process and bolstering success across various sectors, including agriculture, financial services, logistics, energy services, and health. It serves as a valuable resource for disseminating cutting-edge knowledge on the implementation of artificial intelligence techniques and methodologies in diverse industries such as supply chain management, business intelligence, e-commerce, social media, and more. The book's contents are invaluable for Ph.D. students, Ph.D. scholars, master's and undergraduate students, as well as professionals and students in industrial engineering, computer science, information systems, data analytics, and related fields.

The book's introduction provides an overview of the significance of decision-making in today's rapidly evolving business landscape, emphasizing the need for effective strategies and tools to navigate complex challenges and seize opportunities. It then proceeds to delve into the various techniques and methodologies employed in different sectors, highlighting their specific applications and benefits.

In the subsequent chapters, experts from various domains present their research findings and insights, shedding light on the latest trends and advancements in the implementation of artificial intelligence techniques and methodologies. The topics covered include machine learning algorithms, data mining techniques, natural language processing, and predictive analytics, among others. Each chapter provides a detailed explanation of the techniques, their theoretical foundations, and practical applications, accompanied by case studies and examples to illustrate their effectiveness.

Furthermore, the book emphasizes the importance of interdisciplinary collaboration and the integration of artificial intelligence with other fields such as supply chain management, business intelligence, and data analytics. It explores how these integrations can lead to innovative solutions and competitive advantages, enabling organizations to make data-driven decisions and optimize their operations.

The book concludes with a summary of the key findings and recommendations, providing valuable guidance for practitioners and researchers alike. It encourages further exploration and research in the field of artificial intelligence implementation, emphasizing the need for continuous learning and adaptation to stay ahead of the curve.

In summary, this book is a must-read for anyone interested in improving decision-making processes and leveraging artificial intelligence to drive success in today's industrial sectors. Its comprehensive coverage, expert insights, and practical applications make it an invaluable resource for students, professionals, and researchers alike.

Weight: 980g
Dimension: 235 x 155 (mm)
ISBN-13: 9783030711146
Edition number: 1st ed. 2021