Machine Learning Techniques For Improved Business Analytics
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Machine Learning Techniques for Improved Business Analytics
Analytical tools and algorithms are essential in business data and information systems. Efficient economic and financial forecasting in machine learning techniques increases gains while reducing risks. Providing research on predictive models with high accuracy, stability, and ease of interpretation is important in improving data preparation, analysis, and implementation processes in business organizations. Machine Learning Techniques for Improved Business Analytics is a collection of innovative research on the methods and applications of artificial intelligence in strategic business decisions and management. Featuring coverage on a broad range of topics such as data mining, portfolio optimization, and social network analysis, this book is ideally designed for business managers and practitioners, upper-level business students, and researchers seeking current research on large-scale information control and evaluation technologies that exceed the functionality of conventional data processing techniques.
Artificial Intelligence and Machine Learning for Business
Artificial Intelligence (AI) and Machine Learning are now mainstream business tools. They are being applied across many industries to increase profits, reduce costs, save lives and improve customer experiences. Organizations which understand these tools and know how to use them are benefiting at the expense of their rivals. Artificial Intelligence and Machine Learning for Business cuts through the hype and technical jargon that is often associated with these subjects. It delivers a simple and concise introduction for managers and business people. The focus is very much on practical application and how to work with technical specialists (data scientists) to maximize the benefits of these technologies. This third edition has been substantially revised and updated. It contains several new chapters and covers a broader set of topics than before, but retains the no-nonsense style of the original.
AI and Business Analytics: Leveraging Machine Learning for Enhanced Business Intelligence
Author: SHACHI GHANSHYAM SAYATA, DR. ABHISHEK SINGH VERMA
language: en
Publisher: DeepMisti Publication
Release Date: 2025-01-22
In the ever-evolving world of business, data has emerged as one of the most valuable assets. With businesses generating an immense amount of data every day, the challenge lies in turning this data into actionable insights that drive informed decision-making. The convergence of Artificial Intelligence (AI) and business analytics provides a transformative approach to harnessing the potential of data, making it possible for organizations to gain deeper insights, enhance operational efficiency, and innovate in their strategies. "AI and Business Analytics: Leveraging Machine Learning for Enhanced Business Intelligence" explores this powerful intersection, offering a comprehensive understanding of how machine learning (ML) techniques are being utilized to revolutionize the business landscape. The book, authored by Shachi Ghanshyam Sayata and Dr. Abhishek Singh Verma, delves into the theoretical underpinnings of AI and ML while providing practical applications for businesses striving to gain a competitive edge in an increasingly data-driven world. The authors bring their expertise to the forefront by discussing a wide array of topics, from the basics of machine learning algorithms to their advanced applications in real-world business scenarios. The integration of AI in business intelligence allows companies to make predictions, optimize processes, and personalize customer experiences with unprecedented accuracy. As the digital transformation accelerates, businesses are adopting AI-driven analytics to stay ahead of market trends, anticipate challenges, and uncover new opportunities. This book aims to serve as a valuable resource for professionals, researchers, and students alike. It offers a balanced mix of theoretical concepts and hands-on applications, ensuring readers not only grasp the fundamental principles of AI and ML but also learn how to implement these techniques in business environments effectively. It is particularly relevant for those seeking to understand the practical integration of these technologies into business operations, and how AI can lead to smarter decision-making processes that ultimately drive growth and success. In summary, "AI and Business Analytics" provides the necessary tools and insights for leveraging machine learning technologies to unlock the full potential of business intelligence. The authors’ collective expertise and practical approach make this book an indispensable guide for anyone looking to explore the dynamic fusion of AI, business analytics, and machine learning in today’s rapidly changing business world. We hope that this work will inspire both the academic and professional community to engage with these exciting technologies, thereby contributing to the next generation of AI-powered business innovations. Authors