Harnessing Ai Machine Learning And Iot For Intelligent Business
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Harnessing Ai Machine Learning And Iot For Intelligent Business
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Author : Allam Hamdan
language : en
Publisher: Springer
Release Date : 2024-10-04
Harnessing Ai Machine Learning And Iot For Intelligent Business written by Allam Hamdan and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-10-04 with Technology & Engineering categories.
This book addresses the growing need for understanding the practical implications of these technologies in the context of financial management. The convergence of AI, ML, and IoT has revolutionized various industries, and business management and finance are no exceptions. This book equips both academics and industry professionals with the knowledge and tools necessary to navigate the changing landscape and effectively harness these technologies to gain a competitive edge. "Intelligent Business" is a comprehensive guide that explores the integration of artificial intelligence (AI), machine learning (ML), and the Internet of Things (IoT) in the realm of business management and finance. This book delves into the transformative potential of these technologies and provides valuable insights into their application in decision-making, risk management, financial analysis, and strategic planning. It offers a holistic perspective on how organizations can leverage AI, ML, and IoT to drive innovation, enhance operational efficiency, and achieve sustainable growth in the digital age.
Harnessing Ai Machine Learning And Iot For Intelligent Business
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Author : Allam Hamdan
language : en
Publisher: Springer
Release Date : 2024-10-14
Harnessing Ai Machine Learning And Iot For Intelligent Business written by Allam Hamdan and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-10-14 with Technology & Engineering categories.
This book is a comprehensive guide that explores the integration of artificial intelligence (AI), machine learning (ML), and the Internet of Things (IoT) in the realm of business management and finance. The convergence of AI, ML, and IoT has revolutionized various industries, and business management and finance are no exceptions. This book addresses the growing need for understanding the practical implications of these technologies in the context of financial management. It equips both academics and industry professionals with the knowledge and tools necessary to navigate the changing landscape and effectively harness these technologies to gain a competitive edge. This book delves into the transformative potential of these technologies and provides valuable insights into their application in decision-making, risk management, financial analysis, and strategic planning. It offers a holistic perspective on how organizations can leverage AI, ML, and IoT to drive innovation, enhance operational efficiency, and achieve sustainable growth in the digital age.
Harnessing Ai Machine Learning And Iot For Intelligent Business
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Author : Allam Hamdan
language : en
Publisher: Springer Nature
Release Date : 2024-10-15
Harnessing Ai Machine Learning And Iot For Intelligent Business written by Allam Hamdan and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-10-15 with Technology & Engineering categories.
This book addresses the growing need for understanding the practical implications of these technologies in the context of financial management. The convergence of AI, ML, and IoT has revolutionized various industries, and business management and finance are no exceptions. This book equips both academics and industry professionals with the knowledge and tools necessary to navigate the changing landscape and effectively harness these technologies to gain a competitive edge. "Intelligent Business" is a comprehensive guide that explores the integration of artificial intelligence (AI), machine learning (ML), and the Internet of Things (IoT) in the realm of business management and finance. This book delves into the transformative potential of these technologies and provides valuable insights into their application in decision-making, risk management, financial analysis, and strategic planning. It offers a holistic perspective on how organizations can leverage AI, ML, and IoT to drive innovation, enhance operational efficiency, and achieve sustainable growth in the digital age.
Intelligent Automation
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Author : Pascal Bornet
language : en
Publisher:
Release Date : 2020
Intelligent Automation written by Pascal Bornet and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020 with Artificial intelligence categories.
Introduction. Understanding IA - pt. 1. The promise of IA for a better world -- pt. 2. IA technologies explained -- pt. 3. How organizations succeed in implementing IA -- pt. 4. Reinventing society with IA - Conclusion. Our world urgently needs more IA! - Asset. IA use cases library - Appendix. List of IA experts who took part in the survey - Appendix. Artistic inspiration from IA.
Reshaping Intelligent Business And Industry
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Author : Surjeet Dalal
language : en
Publisher: John Wiley & Sons
Release Date : 2024-10-15
Reshaping Intelligent Business And Industry written by Surjeet Dalal and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-10-15 with Computers categories.
The convergence of Artif icial Intelligence (AI) and Internet of Things (IoT) is reshaping the way industries, businesses, and economies function; the 34 chapters in this collection show how the full potential of these technologies is being enabled to create intelligent machines that simulate smart behavior and support decision-making with little or no human interference, thereby providing startling organizational efficiencies. Readers will discover that in Reshaping Intelligent Business and Industry: The book unpacks the two superpowers of innovation, AI and IoT, and explains how they connect to better communicate and exchange information about online activities; How the center and the network’s edge generate predictive analytics or anomaly alerts; The meaning of AI at the edge and IoT networks. How bandwidth is reduced and privacy and security are enhanced; How AI applications increase operating efficiency, spawn new products and services, and enhance risk management; How AI and IoT create ‘intelligent’ devices and how new AI technology enables IoT to reach its full potential; Analyzes AIOT platforms and the handling of personal information for shared frameworks that remain sensitive to customers’ privacy while effectively utilizing data. Audience This book will appeal to all business and organization leaders, entrepreneurs, policymakers, and economists, as well as scientists, engineers, and students working in artificial intelligence, software engineering, and information technology.
Artificial Intelligence To Solve Pervasive Internet Of Things Issues
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Author : Gurjit Kaur
language : en
Publisher: Academic Press
Release Date : 2020-11-23
Artificial Intelligence To Solve Pervasive Internet Of Things Issues written by Gurjit Kaur and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-11-23 with Science categories.
Artificial Intelligence to Solve Pervasive Internet of Things Issues discusses standards and technologies and wide-ranging technology areas and their applications and challenges, including discussions on architectures, frameworks, applications, best practices, methods and techniques required for integrating AI to resolve IoT issues. Chapters also provide step-by-step measures, practices and solutions to tackle vital decision-making and practical issues affecting IoT technology, including autonomous devices and computerized systems. Such issues range from adopting, mitigating, maintaining, modernizing and protecting AI and IoT infrastructure components such as scalability, sustainability, latency, system decentralization and maintainability. The book enables readers to explore, discover and implement new solutions for integrating AI to solve IoT issues. Resolving these issues will help readers address many real-world applications in areas such as scientific research, healthcare, defense, aeronautics, engineering, social media, and many others.
Intersection Of Ai And Business Intelligence In Data Driven Decision Making
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Author : Natarajan, Arul Kumar
language : en
Publisher: IGI Global
Release Date : 2024-08-28
Intersection Of Ai And Business Intelligence In Data Driven Decision Making written by Natarajan, Arul Kumar and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-08-28 with Computers categories.
In today's rapidly evolving business landscape, organizations are inundated with vast amounts of data, making it increasingly challenging to extract meaningful insights and make informed decisions. The traditional business intelligence (BI) approach must often address the complexity and speed required for effective decision-making in this data-rich environment. As a result, many businesses need help to leverage their data to drive sustainable growth and remain competitive. Intersection of AI and Business Intelligence in Data-Driven Decision-Making presents a transformative solution to this pressing challenge. By exploring the convergence of artificial intelligence (AI) and BI, our book provides a comprehensive framework for leveraging AI-powered BI to revolutionize data analysis, predictive modeling, and decision-making processes. Readers will gain valuable insights into practical applications, emerging trends, and ethical considerations, inspiring and exciting them about the potential of AI in driving business success.
Artificial Intelligence And Machine Learning For Industry 4 0
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Author : M. Thirunavukkarasan
language : en
Publisher: John Wiley & Sons
Release Date : 2025-06-10
Artificial Intelligence And Machine Learning For Industry 4 0 written by M. Thirunavukkarasan and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-10 with Computers categories.
This book is essential for any leader seeking to understand how to leverage intelligent automation and predictive maintenance to drive innovation, enhance productivity, and minimize downtime in their manufacturing processes. Intelligent automation is widely considered to have the greatest potential for Industry 4.0 innovations for corporations. Industrial machinery is increasingly being upgraded to intelligent machines that can perceive, act, evolve, and interact in an industrial environment. The innovative technologies featured in this machinery include the Internet of Things, cyber-physical systems, and artificial intelligence. Artificial intelligence enables computer systems to learn from experience, adapt to new input data, and perform intelligent tasks. The significance of AI is not found in its computational models, but in how humans can use them. Consistently observing equipment to keep it from malfunctioning is the procedure of predictive maintenance. Predictive maintenance includes a periodic maintenance schedule and anticipates equipment failure rather than responding to equipment problems. Currently, the industry is struggling to adopt a viable and trustworthy predictive maintenance plan for machinery. The goal of predictive maintenance is to reduce the amount of unanticipated downtime that a machine experiences due to a failure in a highly automated manufacturing line. In recent years, manufacturing across the globe has increasingly embraced the Industry 4.0 concept. Greater solutions than those offered by conventional maintenance are promised by machine learning, revealing precisely how AI and machine learning-based models are growing more prevalent in numerous industries for intelligent performance and greater productivity. This book emphasizes technological developments that could have great influence on an industrial revolution and introduces the fundamental technologies responsible for directing the development of innovative firms. Decision-making requires a vast intake of data and customization in the manufacturing process, which managers and machines both deal with on a regular basis. One of the biggest issues in this field is the capacity to foresee when maintenance of assets is necessary. Leaders in the sector will have to make careful decisions about how, when, and where to employ these technologies. Artificial Intelligence and Machine Learning for Industry 4.0offers contemporary technological advancements in AI and machine learning from an Industry 4.0 perspective, looking at their prospects, obstacles, and potential applications.
Intelligent Business Analytics
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Author : Nitendra Kumar
language : en
Publisher: CRC Press
Release Date : 2025-08-27
Intelligent Business Analytics written by Nitendra Kumar and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-08-27 with Computers categories.
This book explores the transformative role of soft computing methods in increasing business analytics, providing a comprehensive look into how these advanced methods can be applied to complex business data for meaningful insights. Through the integration of neural network, fuzzy logic, genetic algorithms, artificial intelligence, machine learning, deep learning, and other innovative approaches, Intelligent Business Analytics: Harnessing the Power of Soft Computing for Data- Driven Insights presents a roadmap for leveraging computational intelligence in diverse areas of business decision- making. Readers will venture from predictive analytics and customer segmentation to real- time decision support systems and many other applications. Soft computing’s flexibility and applicability in the handling of uncertainty, ambiguity, and dynamic data environments shine throughout the book. Each chapter is created to be a base of theory and, at the same time, provide an applied example, so the book is appropriate for students, researchers, and professionals in the field. This book also discusses where the markets are heading and new applications that are in store for intelligent analytics to create a competitive advantage that also supports sustainable growth. At the end, this book is for those who want to learn more about using data-driven approaches and those who are ready to face the changes of the fast-evolving digital world.
Applied Ai And Humanoid Robotics For The Ultra Smart Cyberspace
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Author : Babulak, Eduard
language : en
Publisher: IGI Global
Release Date : 2024-06-04
Applied Ai And Humanoid Robotics For The Ultra Smart Cyberspace written by Babulak, Eduard and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-06-04 with Computers categories.
In the rapidly transforming landscape of fast-paced technology evolution, the fusion of artificial intelligence (AI) and humanoid robotics is set to redefine academia as we know it. From advancements in AI, humanoid robotics, nano and bio technologies, and smart medicine, the vision of an ultra-smart cyberspace is becoming a tangible reality. Yet, amid this transformative potential, scholars face a pressing challenge – how to navigate the complexities of these cutting-edge technologies to drive impactful research and innovation. Applied AI and Humanoid Robotics for the Ultra-Smart Cyberspace beckons scholars to harness the full potential of applied AI and humanoid robotics in academia. This book illuminates the most effective applications of these technologies across various disciplines such as industry, business, health, government, military, and critical cyber infrastructure. Through rigorously peer-reviewed chapters, the book addresses key issues, provides technical solutions, and guides future research directions, fostering a collaborative bridge between academia and industry.