Business Analytical Capabilities And Artificial Intelligence Enabled Analytics Applications And Challenges In The Digital Era Volume 2
Download Business Analytical Capabilities And Artificial Intelligence Enabled Analytics Applications And Challenges In The Digital Era Volume 2 full books in PDF, epub, and Kindle. Read online free Business Analytical Capabilities And Artificial Intelligence Enabled Analytics Applications And Challenges In The Digital Era Volume 2 ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads. We cannot guarantee that every ebooks is available!
Business Analytical Capabilities and Artificial Intelligence enabled Analytics Applications and Challenges in the Digital Era Volume 2
Author | : Abdalmuttaleb M. A. Musleh Al-Sartawi,Arafat Salih Aydiner,Mohammad Kanan |
Publsiher | : Springer |
Total Pages | : 0 |
Release | : 2024-08-01 |
Genre | : Computers |
ISBN | : 3031572416 |
Download Business Analytical Capabilities and Artificial Intelligence enabled Analytics Applications and Challenges in the Digital Era Volume 2 Book in PDF, Epub and Kindle
This book explores and discusses how businesses transit from big data and business analytics to artificial intelligence (AI), by examining advanced technologies and embracing challenges such as ethical issues, governance, security, privacy, and interoperability of capabilities. This book covers a range of topics including the application of cyber accounting and strategic objectives, financial inclusion, big data analytics in telecommunication sector, digital marketing strategies and sports brand loyalty, robotic processes automation in banks, and the applications of AI for decision-making in human resources, healthcare, banking, and many more. The book provides a comprehensive reference for scholars, students, managers, entrepreneurs, and policymakers by examining frameworks and business practice implications through its discussions which embrace a wide variety of unique topics on business analytics, AI, and how it can be applied together to address the challenges of the digital era.
Business Analytical Capabilities and Artificial Intelligence Enabled Analytics Applications and Challenges in the Digital Era Volume 1
Author | : Abdalmuttaleb M. A. Musleh Al-Sartawi |
Publsiher | : Springer Nature |
Total Pages | : 441 |
Release | : 2024 |
Genre | : Electronic Book |
ISBN | : 9783031560156 |
Download Business Analytical Capabilities and Artificial Intelligence Enabled Analytics Applications and Challenges in the Digital Era Volume 1 Book in PDF, Epub and Kindle
Business Analytical Capabilities and Artificial Intelligence enabled Analytics Applications and Challenges in the Digital Era Volume 1
Author | : Abdalmuttaleb M. A. Musleh Al-Sartawi,Arafat Salih Aydiner,Mohammad Kanan |
Publsiher | : Springer |
Total Pages | : 0 |
Release | : 2024-06-04 |
Genre | : Computers |
ISBN | : 3031560140 |
Download Business Analytical Capabilities and Artificial Intelligence enabled Analytics Applications and Challenges in the Digital Era Volume 1 Book in PDF, Epub and Kindle
This book explores and discusses how businesses transit from big data and business analytics to artificial intelligence (AI), by examining advanced technologies and embracing challenges such as ethical issues, governance, security, privacy, and interoperability of capabilities. This book covers a range of topics including the application of cyber accounting and strategic objectives, financial inclusion, big data analytics in telecommunication sector, digital marketing strategies and sports brand loyalty, robotic processes automation in banks, and the applications of AI for decision-making in human resources, healthcare, banking, and many more. The book provides a comprehensive reference for scholars, students, managers, entrepreneurs, and policymakers by examining frameworks and business practice implications through its discussions which embrace a wide variety of unique topics on business analytics, AI, and how it can be applied together to address the challenges of the digital era.
Advanced Analytics and Artificial Intelligence Applications
Author | : Ali Soofastaei |
Publsiher | : BoD – Books on Demand |
Total Pages | : 114 |
Release | : 2019-11-13 |
Genre | : Computers |
ISBN | : 9781789846386 |
Download Advanced Analytics and Artificial Intelligence Applications Book in PDF, Epub and Kindle
Computers and machines were developed to reduce time consumption and manual human efforts to complete projects efficiently. With fast-growing technologies in the field, we have finally reached a stage where almost everyone in the world has access to these high technologies. However, this is just a starting phase because future development is taking a more advanced route in the shape of artificial intelligence (AI). Although AI is under the computer science umbrella, nowadays there is no field unaffected by this high technology. The overall aim of using intelligence learning methods is to train machines to think intelligently and make decisions in different situations the same as humans. Previously, machines were doing what they were programmed to do, but now with AI, devices can think and behave like a human being. This book aims to present the application of advanced analytics and AI in different industries as practical tools to develop prediction, optimization, and make decision models.
AI Enabled Analytics for Business
Author | : Lawrence S. Maisel,Robert J. Zwerling,Jesper H. Sorensen |
Publsiher | : John Wiley & Sons |
Total Pages | : 243 |
Release | : 2022-01-19 |
Genre | : Business & Economics |
ISBN | : 9781119736080 |
Download AI Enabled Analytics for Business Book in PDF, Epub and Kindle
We are entering the era of digital transformation where human and artificial intelligence (AI) work hand in hand to achieve data driven performance. Today, more than ever, businesses are expected to possess the talent, tools, processes, and capabilities to enable their organizations to implement and utilize continuous analysis of past business performance and events to gain forward-looking insight to drive business decisions and actions. AI-Enabled Analytics in Business is your Roadmap to meet this essential business capability. To ensure we can plan for the future vs react to the future when it arrives, we need to develop and deploy a toolbox of tools, techniques, and effective processes to reveal forward-looking unbiased insights that help us understand significant patterns, relationships, and trends. This book promotes clarity to enable you to make better decisions from insights about the future. Learn how advanced analytics ensures that your people have the right information at the right time to gain critical insights and performance opportunities Empower better, smarter decision making by implementing AI-enabled analytics decision support tools Uncover patterns and insights in data, and discover facts about your business that will unlock greater performance Gain inspiration from practical examples and use cases showing how to move your business toward AI-Enabled decision making AI-Enabled Analytics in Business is a must-have practical resource for directors, officers, and executives across various functional disciplines who seek increased business performance and valuation.
Competing in the Age of AI
Author | : Marco Iansiti,Karim R. Lakhani |
Publsiher | : Harvard Business Press |
Total Pages | : 175 |
Release | : 2020-01-07 |
Genre | : Business & Economics |
ISBN | : 9781633697638 |
Download Competing in the Age of AI Book in PDF, Epub and Kindle
"a provocative new book" — The New York Times AI-centric organizations exhibit a new operating architecture, redefining how they create, capture, share, and deliver value. Now with a new preface that explores how the coronavirus crisis compelled organizations such as Massachusetts General Hospital, Verizon, and IKEA to transform themselves with remarkable speed, Marco Iansiti and Karim R. Lakhani show how reinventing the firm around data, analytics, and AI removes traditional constraints on scale, scope, and learning that have restricted business growth for hundreds of years. From Airbnb to Ant Financial, Microsoft to Amazon, research shows how AI-driven processes are vastly more scalable than traditional processes, allow massive scope increase, enabling companies to straddle industry boundaries, and create powerful opportunities for learning—to drive ever more accurate, complex, and sophisticated predictions. When traditional operating constraints are removed, strategy becomes a whole new game, one whose rules and likely outcomes this book will make clear. Iansiti and Lakhani: Present a framework for rethinking business and operating models Explain how "collisions" between AI-driven/digital and traditional/analog firms are reshaping competition, altering the structure of our economy, and forcing traditional companies to rearchitect their operating models Explain the opportunities and risks created by digital firms Describe the new challenges and responsibilities for the leaders of both digital and traditional firms Packed with examples—including many from the most powerful and innovative global, AI-driven competitors—and based on research in hundreds of firms across many sectors, this is your essential guide for rethinking how your firm competes and operates in the era of AI.
Digitalization and Analytics for Smart Plant Performance
Author | : Frank (Xin X.) Zhu |
Publsiher | : John Wiley & Sons |
Total Pages | : 48 |
Release | : 2021-03-23 |
Genre | : Technology & Engineering |
ISBN | : 9781119634034 |
Download Digitalization and Analytics for Smart Plant Performance Book in PDF, Epub and Kindle
This book addresses the topic of integrated digitization of plants on an objective basis and in a holistic manner by sharing data, applying analytics tools and integrating workflows via pertinent examples from industry. It begins with an evaluation of current performance management practices and an overview of the need for a "Connected Plant" via digitalization followed by sections on "Connected Assets: Improve Reliability and Utilization," "Connected Processes: Optimize Performance and Economic Margin " and "Connected People: Digitalizing the Workforce and Workflows and Developing Ownership and Digital Culture," then culminating in a final section entitled "Putting All Together Into an Intelligent Digital Twin Platform for Smart Operations and Demonstrated by Application cases."
Artificial Intelligence
Author | : Harvard Business Review |
Publsiher | : HBR Insights |
Total Pages | : 160 |
Release | : 2019 |
Genre | : Business & Economics |
ISBN | : 1633697894 |
Download Artificial Intelligence Book in PDF, Epub and Kindle
Companies that don't use AI to their advantage will soon be left behind. Artificial intelligence and machine learning will drive a massive reshaping of the economy and society. What should you and your company be doing right now to ensure that your business is poised for success? These articles by AI experts and consultants will help you understand today's essential thinking on what AI is capable of now, how to adopt it in your organization, and how the technology is likely to evolve in the near future. Artificial Intelligence: The Insights You Need from Harvard Business Review will help you spearhead important conversations, get going on the right AI initiatives for your company, and capitalize on the opportunity of the machine intelligence revolution. Catch up on current topics and deepen your understanding of them with the Insights You Need series from Harvard Business Review. Featuring some of HBR's best and most recent thinking, Insights You Need titles are both a primer on today's most pressing issues and an extension of the conversation, with interesting research, interviews, case studies, and practical ideas to help you explore how a particular issue will impact your company and what it will mean for you and your business.