The Convergence Of Ai Machine Learning And Business Intelligence Transforming Data Driven Decision Making For The Future Of Enterprises
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Perspectives on Digital Transformation in Contemporary Business
In today's society, the proliferation of digitization, digitalization, and digital transformation have played a significant role in reshaping society and business, in both public and private sectors. The advancement of intelligent systems has enabled organizations to streamline processes, increase efficiency, and broaden their reach. The adoption of Industry 4.0 technologies has hastened this transformation, resulting in unprecedented opportunities for growth and innovation. In today's hyperconnected world, businesses from a wide range of industries have used these technologies to improve operations, personalize customer experiences, and gain a competitive advantage. However, as technology evolves, it is not without challenges. These challenges must be addressed and mitigated before they escalate, as they can have serious economic, social, and technological consequences for individuals, businesses, governments, and society as a whole. Perspectives on Digital Transformation in Contemporary Business is an essential resource for navigating the complex landscape of digital transformation in business. The book delves into the evolution, trends, and challenges of digitalization, providing invaluable insights into key thematic areas such as the digital economy, digital education, digital entrepreneurship, and digital ethics. This book covers topics such as entrepreneurship, healthcare technology, and supply chains, and is a useful resource for business owners, policymakers, educators, researchers, technology professionals, and academicians.
Data-Driven Intelligent Business Sustainability
Data-driven decision making is crucial for ensuring the long-term sustainability of businesses and economic growth. While rapid technological advancements have enabled the collection and analysis of data on an unprecedented scale, businesses face challenges in adopting evidence-based decision making. Data-Driven Intelligent Business Sustainability is a comprehensive guide that examines the challenges and opportunities presented by data-driven decision making. It covers new technologies like blockchain, IoT, and AI, explores their potential for sustainable business success, and provides guidance on managing cybersecurity threats. The book also includes case studies and examples of successful implementations of data-driven decision making, making it a practical resource for those seeking to upskill or reskill in this field. Targeted at computer science and engineering professionals, researchers, and students, the book provides valuable insights into the role of data-driven decision making in business sustainability, helping businesses achieve long-term success.