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
Publisher : Springer
Page : 0 pages
File Size : 48,5 Mb
Release : 2024-08-01
Category : Computers
ISBN : 3031572416

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Business Analytical Capabilities and Artificial Intelligence-enabled Analytics: Applications and Challenges in the Digital Era, Volume 2 by Abdalmuttaleb M. A. Musleh Al-Sartawi,Arafat Salih Aydiner,Mohammad Kanan Pdf

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.

Author : Abdalmuttaleb M. A. Musleh Al-Sartawi
Publisher : Springer Nature
Page : 441 pages
File Size : 53,5 Mb
Release : 2024-06-28
Category : Electronic
ISBN : 9783031560156

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Business Analytical Capabilities and Artificial Intelligence-Enabled Analytics: Applications and Challenges in the Digital Era, Volume 1 by Abdalmuttaleb M. A. Musleh Al-Sartawi Pdf

Author : Abdalmuttaleb M. A. Musleh Al-Sartawi,Arafat Salih Aydiner,Mohammad Kanan
Publisher : Springer
Page : 0 pages
File Size : 48,5 Mb
Release : 2024-06-04
Category : Computers
ISBN : 3031560140

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Business Analytical Capabilities and Artificial Intelligence-enabled Analytics: Applications and Challenges in the Digital Era, Volume 1 by Abdalmuttaleb M. A. Musleh Al-Sartawi,Arafat Salih Aydiner,Mohammad Kanan Pdf

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.

Author : Ali Soofastaei
Publisher : BoD – Books on Demand
Page : 114 pages
File Size : 43,6 Mb
Release : 2019-11-13
Category : Computers
ISBN : 9781789846386

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Advanced Analytics and Artificial Intelligence Applications by Ali Soofastaei Pdf

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.

Author : Lawrence S. Maisel,Robert J. Zwerling,Jesper H. Sorensen
Publisher : John Wiley & Sons
Page : 243 pages
File Size : 48,5 Mb
Release : 2022-01-19
Category : Business & Economics
ISBN : 9781119736080

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AI-Enabled Analytics for Business by Lawrence S. Maisel,Robert J. Zwerling,Jesper H. Sorensen Pdf

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.

Author : Frank (Xin X.) Zhu
Publisher : John Wiley & Sons
Page : 48 pages
File Size : 50,8 Mb
Release : 2021-03-23
Category : Technology & Engineering
ISBN : 9781119634034

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Digitalization and Analytics for Smart Plant Performance by Frank (Xin X.) Zhu Pdf

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."

Author : Harvard Business Review
Publisher : HBR Insights
Page : 160 pages
File Size : 49,7 Mb
Release : 2019
Category : Business & Economics
ISBN : 1633697894

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Artificial Intelligence by Harvard Business Review Pdf

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.

Author : Saad G. Yaseen
Publisher : Springer Nature
Page : 438 pages
File Size : 48,7 Mb
Release : 2024-06-28
Category : Electronic
ISBN : 9783031424557

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Cutting-Edge Business Technologies in the Big Data Era by Saad G. Yaseen Pdf

Author : Hemachandran K,Sayantan Khanra,Raul V. Rodriguez,Juan Jaramillo
Publisher : CRC Press
Page : 191 pages
File Size : 40,9 Mb
Release : 2022-07-21
Category : Business & Economics
ISBN : 9781000615425

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Machine Learning for Business Analytics by Hemachandran K,Sayantan Khanra,Raul V. Rodriguez,Juan Jaramillo Pdf

Machine Learning is an integral tool in a business analyst’s arsenal because the rate at which data is being generated from different sources is increasing and working on complex unstructured data is becoming inevitable. Data collection, data cleaning, and data mining are rapidly becoming more difficult to analyze than just importing information from a primary or secondary source. The machine learning model plays a crucial role in predicting the future performance and results of a company. In real-time, data collection and data wrangling are the important steps in deploying the models. Analytics is a tool for visualizing and steering data and statistics. Business analysts can work with different datasets -- choosing an appropriate machine learning model results in accurate analyzing, forecasting the future, and making informed decisions. The global machine learning market was valued at $1.58 billion in 2017 and is expected to reach $20.83 billion in 2024 -- growing at a CAGR of 44.06% between 2017 and 2024. The authors have compiled important knowledge on machine learning real-time applications in business analytics. This book enables readers to get broad knowledge in the field of machine learning models and to carry out their future research work. The future trends of machine learning for business analytics are explained with real case studies. Essentially, this book acts as a guide to all business analysts. The authors blend the basics of data analytics and machine learning and extend its application to business analytics. This book acts as a superb introduction and covers the applications and implications of machine learning. The authors provide first-hand experience of the applications of machine learning for business analytics in the section on real-time analysis. Case studies put the theory into practice so that you may receive hands-on experience with machine learning and data analytics. This book is a valuable source for practitioners, industrialists, technologists, and researchers.

Author : Saeed, Saqib,Almuhaideb, Abdullah M.,Kumar, Neeraj,Zaman, Noor,Zikria, Yousaf Bin
Publisher : IGI Global
Page : 581 pages
File Size : 47,9 Mb
Release : 2022-10-21
Category : Computers
ISBN : 9781668452868

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Handbook of Research on Cybersecurity Issues and Challenges for Business and FinTech Applications by Saeed, Saqib,Almuhaideb, Abdullah M.,Kumar, Neeraj,Zaman, Noor,Zikria, Yousaf Bin Pdf

Digital transformation in organizations optimizes the business processes but also brings additional challenges in the form of security threats and vulnerabilities. Cyberattacks incur financial losses for organizations and can affect their reputations. Due to this, cybersecurity has become critical for business enterprises. Extensive technological adoption in businesses and the evolution of FinTech applications require reasonable cybersecurity measures to protect organizations from internal and external security threats. Recent advances in the cybersecurity domain such as zero trust architecture, application of machine learning, and quantum and post-quantum cryptography have colossal potential to secure technological infrastructures. The Handbook of Research on Cybersecurity Issues and Challenges for Business and FinTech Applications discusses theoretical foundations and empirical studies of cybersecurity implications in global digital transformation and considers cybersecurity challenges in diverse business areas. Covering essential topics such as artificial intelligence, social commerce, and data leakage, this reference work is ideal for cybersecurity professionals, business owners, managers, policymakers, researchers, scholars, academicians, practitioners, instructors, and students.

Author : International Institute of Business Analysis,IIBA
Publisher : IIBA
Page : 273 pages
File Size : 44,5 Mb
Release : 2009
Category : Business & Economics
ISBN : 9780981129211

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A Guide to the Business Analysis Body of Knowledger by International Institute of Business Analysis,IIBA Pdf

The BABOK Guide contains a description of generally accepted practices in the field of business analysis. Recognised around the world as a key tool for the practice of business analysis and has become a widely-accepted standard for the profession.

Author : Introbooks
Publisher : Unknown
Page : 50 pages
File Size : 48,6 Mb
Release : 2020-04-07
Category : Electronic
ISBN : 9798634736815

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Artificial Intelligence in Banking by Introbooks Pdf

In these highly competitive times and with so many technological advancements, it is impossible for any industry to remain isolated and untouched by innovations. In this era of digital economy, the banking sector cannot exist and operate without the various digital tools offered by the ever new innovations happening in the field of Artificial Intelligence (AI) and its sub-set technologies. New technologies have enabled incredible progression in the finance industry. Artificial Intelligence (AI) and Machine Learning (ML) have provided the investors and customers with more innovative tools, new types of financial products and a new potential for growth.According to Cathy Bessant (the Chief Operations and Technology Officer, Bank of America), AI is not just a technology discussion. It is also a discussion about data and how it is used and protected. She says, "In a world focused on using AI in new ways, we're focused on using it wisely and responsibly."

Author : Marco Iansiti,Karim R. Lakhani
Publisher : Harvard Business Press
Page : 175 pages
File Size : 40,5 Mb
Release : 2020-01-07
Category : Business & Economics
ISBN : 9781633697638

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Competing in the Age of AI by Marco Iansiti,Karim R. Lakhani Pdf

"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.

Author : El Bachir Boukherouaa,Mr. Ghiath Shabsigh,Khaled AlAjmi,Jose Deodoro,Aquiles Farias,Ebru S Iskender,Mr. Alin T Mirestean,Rangachary Ravikumar
Publisher : International Monetary Fund
Page : 35 pages
File Size : 54,9 Mb
Release : 2021-10-22
Category : Business & Economics
ISBN : 9781589063952

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Powering the Digital Economy: Opportunities and Risks of Artificial Intelligence in Finance by El Bachir Boukherouaa,Mr. Ghiath Shabsigh,Khaled AlAjmi,Jose Deodoro,Aquiles Farias,Ebru S Iskender,Mr. Alin T Mirestean,Rangachary Ravikumar Pdf

This paper discusses the impact of the rapid adoption of artificial intelligence (AI) and machine learning (ML) in the financial sector. It highlights the benefits these technologies bring in terms of financial deepening and efficiency, while raising concerns about its potential in widening the digital divide between advanced and developing economies. The paper advances the discussion on the impact of this technology by distilling and categorizing the unique risks that it could pose to the integrity and stability of the financial system, policy challenges, and potential regulatory approaches. The evolving nature of this technology and its application in finance means that the full extent of its strengths and weaknesses is yet to be fully understood. Given the risk of unexpected pitfalls, countries will need to strengthen prudential oversight.

Author : Felix Weber
Publisher : Springer Nature
Page : 146 pages
File Size : 42,8 Mb
Release : 2023-03-01
Category : Computers
ISBN : 9783658375997

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Artificial Intelligence for Business Analytics by Felix Weber Pdf

While methods of artificial intelligence (AI) were until a few years ago exclusively a topic of scientific discussions, today they are increasingly finding their way into products of everyday life. At the same time, the amount of data produced and available is growing due to increasing digitalization, the integration of digital measurement and control systems, and automatic exchange between devices (Internet of Things). In the future, the use of business intelligence (BI) and a look into the past will no longer be sufficient for most companies.Instead, business analytics, i.e., predictive and predictive analyses and automated decisions, will be needed to stay competitive in the future. The use of growing amounts of data is a significant challenge and one of the most important areas of data analysis is represented by artificial intelligence methods.This book provides a concise introduction to the essential aspects of using artificial intelligence methods for business analytics, presents machine learning and the most important algorithms in a comprehensible form using the business analytics technology framework, and shows application scenarios from various industries. In addition, it provides the Business Analytics Model for Artificial Intelligence, a reference procedure model for structuring BA and AI projects in the company. This book is a translation of the original German 1st edition Künstliche Intelligenz für Business Analytics by Felix Weber, published by Springer Fachmedien Wiesbaden GmbH, part of Springer Nature in 2020. The translation was done with the help of artificial intelligence (machine translation by the service DeepL.com). A subsequent human revision was done primarily in terms of content, so that the book will read stylistically differently from a conventional translation. Springer Nature works continuously to further the development of tools for the production of books and on the related technologies to support the authors.