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Author: Harry Katzan Jr. Publisher: iUniverse ISBN: 1663256160 Category : Business & Economics Languages : en Pages : 282
Book Description
This is an introductory book about Artificial Intelligence Theory based on Service Science. It is not for AI specialists. It is too simple for them. As unusual as it sounds, there is a very good reason for its existence. There are existing books on the subject that are very good but are very difficult to read. Its that simple. The concepts are complicated and some require complex math. A typical example is the subject of neural networks. A person should know what theory governs the new field of artificial intelligence, because we will be involved if only at the listening level or going into a meeting. Artificial Intelligence is here to stay this time. It’s a third try to bring the subject to the forefront. It is here for the future, and it is here to stay because the world needs it. We are in the midst of war, preparation for defense, a dismal economic outlook, crime, killing, and so forth. We need it because if we continue the way we are going, we won’t be going anywhere for very long. Practically everything is disarray. Just name them: violence, shady politics, global warming, discrimination, abortion, women’s birth problems, men’s cancer. What is the solution? It is twofold. Equitably use the information we have and permit the human race to communicate and act in a reasonable manner. Through Artificial Intelligence, often referred to as AI, we have the key to managing our lives on a daily basis – worldwide. There is a lot going on in the area of AI, as it’s called. Young people all over the place are into it. New software is being developed. There is a generative AI system named ChatGPT developed by a company named OpenAI that has done a good job with new developments. What is a manager to do. A company named IBM is in the field with a system called IBM Watson, that operates out of the cloud is also in the game. In fact, this book can give you some insight into what is going on. It contains three snippets on ChatGPT, IBM Watson, and Data Science that are included at the end of the book. Instead of business and government leaders having to tell us what they are going to do, we can and will be addressing that subject through AI. AI is a systems concept, not a single piece of software you can buy at a local store. Can you imagine a kid telling you they have computers and AI, meaning software apps. You will be able to obtain AI capability but it needs to be blended into the infrastructure to its host organization. A good example is the Watson System developed by IBM. It can, will, and has done wonders with design and analytics, but you probably will need some help in employing the computational infrastructure. There are already competition systems but Watson is mentioned because it beat some Jeopardy! champions at their own game. So, here is what we are providing to you with in this book. A straightforward description of the subject of AI that is easy to read. No more and no less. You can jump into this book at any point and get something out of it. In addition, you will get a quick survey of Service Science. After all, Artificial Intelligence is a service In the best sense of the word. The book is not expensive and something you would enjoy giving to a relative or friend. The book adheres to the author’s principle of no sex, no violence, and no bad language. It is accessible to all readers. This need not be said for a book of this type, but I like saying it.
Author: Piotr Buła Publisher: Routledge ISBN: 100046556X Category : Business & Economics Languages : en Pages : 121
Book Description
This book combines academic research with practical guidelines in methods and techniques to supplement existing knowledge relating to organizational management in the era of digital acceleration. It offers a simple layout with concise but rich content presented in an engaging, accessible style and the authors’ holistic approach is unique in the field. From a universalist perspective, the book examines and analyzes the development of, among others, Industry 4.0, artificial intelligence (AI), AI 2.0, AI systems and platforms, algorithmics, new paradigms of organization management, business ecosystems, data processing models in AI-based organizations and AI strategies in the global perspective. An additional strength of the book is its relevance and contemporary nature, featuring information, data, forecasts or scenarios reaching up to 2030. How does one build, step by step, an organization that will be based on artificial intelligence technology and gain measurable benefits from it, for instance, as a result of its involvement in the creation of the so-called mesh ecosystem? The answer to this and many other pertinent questions are provided in this book. This timely and important book will appeal to scholars and students across the fields of organizational management and innovation and technology management, as well as managers, educators, scientists, entrepreneurs, innovators and more.
Author: Harry Katzan Jr. Publisher: iUniverse ISBN: 1663256160 Category : Business & Economics Languages : en Pages : 282
Book Description
This is an introductory book about Artificial Intelligence Theory based on Service Science. It is not for AI specialists. It is too simple for them. As unusual as it sounds, there is a very good reason for its existence. There are existing books on the subject that are very good but are very difficult to read. Its that simple. The concepts are complicated and some require complex math. A typical example is the subject of neural networks. A person should know what theory governs the new field of artificial intelligence, because we will be involved if only at the listening level or going into a meeting. Artificial Intelligence is here to stay this time. It’s a third try to bring the subject to the forefront. It is here for the future, and it is here to stay because the world needs it. We are in the midst of war, preparation for defense, a dismal economic outlook, crime, killing, and so forth. We need it because if we continue the way we are going, we won’t be going anywhere for very long. Practically everything is disarray. Just name them: violence, shady politics, global warming, discrimination, abortion, women’s birth problems, men’s cancer. What is the solution? It is twofold. Equitably use the information we have and permit the human race to communicate and act in a reasonable manner. Through Artificial Intelligence, often referred to as AI, we have the key to managing our lives on a daily basis – worldwide. There is a lot going on in the area of AI, as it’s called. Young people all over the place are into it. New software is being developed. There is a generative AI system named ChatGPT developed by a company named OpenAI that has done a good job with new developments. What is a manager to do. A company named IBM is in the field with a system called IBM Watson, that operates out of the cloud is also in the game. In fact, this book can give you some insight into what is going on. It contains three snippets on ChatGPT, IBM Watson, and Data Science that are included at the end of the book. Instead of business and government leaders having to tell us what they are going to do, we can and will be addressing that subject through AI. AI is a systems concept, not a single piece of software you can buy at a local store. Can you imagine a kid telling you they have computers and AI, meaning software apps. You will be able to obtain AI capability but it needs to be blended into the infrastructure to its host organization. A good example is the Watson System developed by IBM. It can, will, and has done wonders with design and analytics, but you probably will need some help in employing the computational infrastructure. There are already competition systems but Watson is mentioned because it beat some Jeopardy! champions at their own game. So, here is what we are providing to you with in this book. A straightforward description of the subject of AI that is easy to read. No more and no less. You can jump into this book at any point and get something out of it. In addition, you will get a quick survey of Service Science. After all, Artificial Intelligence is a service In the best sense of the word. The book is not expensive and something you would enjoy giving to a relative or friend. The book adheres to the author’s principle of no sex, no violence, and no bad language. It is accessible to all readers. This need not be said for a book of this type, but I like saying it.
Author: Michael Masuch Publisher: North Holland ISBN: Category : Business & Economics Languages : en Pages : 368
Book Description
The papers collected in this book form an international overview of recent research into Artificial Intelligence (AI) in Organization and Management Theory. AI is rapidly changing the face of both the modern organization and of organizational research. Conversely, modern organizations are increasingly serving as a paradigm for parallel computer hardware and software.Important topics presently emerging are:bull; Knowledge-based systems in organizations and for organization theorybull; Coordination Theory (using human organizations as paradigms for computer architecture and vice versa)bull; Connectionism (parallel distributed processes in organizations)bull; Logic, scripts and other formal languages for describing and understanding organizational behaviorbull; Heuristic simulation for strategic management and organizational designbull; Machine learning versus organizational learning.Brought together in this book are papers from leading researchers in Europe and North-America.
Author: Henriqueta Nóvoa Publisher: Springer Nature ISBN: 3030387240 Category : Computers Languages : en Pages : 403
Book Description
This book constitutes the proceedings of the 10th International Conference on Exploring Service Science, IESS 2020, held in Porto, Portugal, in February 2020. The 28 papers presented in this volume were carefully reviewed and selected from 42 submissions. The book includes papers that extend the view on different concepts related to the development of the Service Science domain of study, applying them to frameworks, advanced technologies, and tools for the design of new, digitally-enabled service systems. This book is structured in six parts, based on the six main conference themes, as follows: Customer Experience, Data Analytics in Service, Emerging Service Technologies, Service Design and Innovation, Service Ecosystems, and Service Management.
Author: P Kaliraj Publisher: CRC Press ISBN: 1000460606 Category : Computers Languages : en Pages : 506
Book Description
This book examines the fundamentals and technologies of Artificial Intelligence (AI) and describes their tools, challenges, and issues. It also explains relevant theory as well as industrial applications in various domains, such as healthcare, economics, education, product development, agriculture, human resource management, environmental management, and marketing. The book is a boon to students, software developers, teachers, members of boards of studies, and researchers who need a reference resource on artificial intelligence and its applications and is primarily intended for use in courses offered by higher education institutions that strive to equip their graduates with Industry 4.0 skills. FEATURES: Gender disparity in the enterprises involved in the development of AI-based software development as well as solutions to eradicate such gender bias in the AI world A general framework for AI in environmental management, smart farming, e-waste management, and smart energy optimization The potential and application of AI in medical imaging as well as the challenges of AI in precision medicine AI’s role in the diagnosis of various diseases, such as cancer and diabetes The role of machine learning models in product development and statistically monitoring product quality Machine learning to make robust and effective economic policy decisions Machine learning and data mining approaches to provide better video indexing mechanisms resulting in better searchable results ABOUT THE EDITORS: Prof. Dr. P. Kaliraj is Vice Chancellor at Bharathiar University, Coimbatore, India. Prof. Dr. T. Devi is Professor and Head of the Department of Computer Applications, Bharathiar University, Coimbatore, India.
Author: Malay A. Upadhyay Publisher: BPB Publications ISBN: 9389898390 Category : Business & Economics Languages : en Pages : 166
Book Description
Understand how to adopt and implement AI in your organizationKey Featuresa- 7 Principles of an AI Journeya- The TUSCANE Approach to Become Data Readya- The FAB-4 Model to Choose the Right AI Solutiona- Major AI Techniques & their Applications:- CART & Ensemble Learning- Clustering, Association Rules & Search- Reinforcement Learning- Natural Language Processing- Image RecognitionDescriptionMost AI initiatives in organizations fail today not because of a lack of good AI solutions, but because of a lack of understanding of AI among its end users, decision makers and investors. Today, organizations need managers who can leverage AI to solve business problems and provide a competitive advantage. This book is designed to enable you to fill that need, and create an edge for your career.The chapters offer unique managerial frameworks to guide an organization's AI journey. The first section looks at what AI is; and how you can prepare for it, decide when to use it, and avoid pitfalls on the way. The second section dives into the different AI techniques and shows you where to apply them in business. The final section then prepares you from a strategic AI leadership perspective to lead the future of organizations.By the end of the book, you will be ready to offer any organization the capability to use AI successfully and responsibly - a need that is fast becoming a necessity.What will you learna- Understand the major AI techniques & how they are used in business.a- Determine which AI technique(s) can solve your business problem.a- Decide whether to build or buy an AI solution.a- Estimate the financial value of an AI solution or company.a- Frame a robust policy to guide the responsible use of AI.Who this book is forThis book is for Executives, Managers and Students on both Business and Technical teams who would like to use Artificial Intelligence effectively to solve business problems or get an edge in their careers.Table of Contents1.Preface2.Acknowledgement3.About the Author4.Section 1: Beginning an AI Journeya. AI Fundamentalsb. 7 Principles of an AI Journeyc. Getting Ready to Use AI5.Section 2: Choosing the Right AI Techniquesa. Inside the AI Laboratoryb. How AI Predicts Values & Categoriesc. How AI Understands and Predicts Behaviors & Scenariosd. How AI Communicates & Learns from Mistakese. How AI Starts to Think Like Humans6.Section 3: Using AI Successfully & Responsiblya. AI Adoption & Valuationb. AI Strategy, Policy & Risk Management7.EpilogueAbout the AuthorsMalay A. Upadhyay is a Customer Journey executive, certified in Machine Learning. Over the course of his role heading the function at a N. American AI SaaS firm in Toronto, Malay trained 150+ N. American managers on the basics of AI and its successful adoption, held executive thought leadership sessions for CEOs and CHROs on AI strategy & IT modernization roadmaps, and worked as the primary liaison to realize AI value on unique customer datasets. It was here that he learnt the growing need for greater knowledge and awareness of how to use AI both responsibly and successfully.Malay was also one of 25 individuals chosen globally to envision the industrial future for the Marzotto Group, Italy, on its 175th anniversary. He holds an MBA, M.Sc. and B.E., with experiences across India, UAE, Italy and Canada.A Duke of Edinburgh awardee, Malay has been driving the subject of responsible AI management as an advisor, author, online instructor and member of the European AI Alliance that informed the HLEG on the European Commission's AI policy.
Author: Endre Pap Publisher: Springer Nature ISBN: 3030727114 Category : Technology & Engineering Languages : en Pages : 353
Book Description
This book is an up-to-date collection, in AI and environmental research, related to the project ATLAS. AI is used for gaining an understanding of complex research phenomena in the environmental sciences, encompassing heterogeneous, noisy, inaccurate, uncertain, diverse spatio-temporal data and processes. The first part of the book covers new mathematics in the field of AI: aggregation functions with special classes such as triangular norms and copulas, pseudo-analysis, and the introduction to fuzzy systems and decision making. Generalizations of the Choquet integral with applications in decision making as CPT are presented. The second part of the book is devoted to AI in the geo-referenced air pollutants and meteorological data, image processing, machine learning, neural networks, swarm intelligence, robotics, mental well-being and data entry errors. The book is intended for researchers in AI and experts in environmental sciences as well as for Ph.D. students.
Author: David De Cremer Publisher: Harriman House Limited ISBN: 0857198297 Category : Business & Economics Languages : en Pages : 179
Book Description
With artificial intelligence on the rise, the way we run our organisations will change—and drastically. But what exactly will that future look like? And who will take the leading role: machines or people? In this compelling new book, leading management guru David De Cremer identifies the key areas where algorithms will collide with human skills, and assesses the likely outcomes. Will your next boss be a robot? Can an AI boss display the human qualities that define a good leader: compassion, empathy, imagination, ethics, and strategic awareness? Drawing on his own research findings, and those from thought leaders around the world, the author presents fascinating insights into the challenges that an automated work environment poses for organisations of the future. Leadership by Algorithm offers some startling conclusions that make clear the true nature of the power struggle between man and machine. It also identifies the leadership qualities needed to deal with this struggle most effectively.
Author: Marcos M. López de Prado Publisher: Cambridge University Press ISBN: 1108879721 Category : Business & Economics Languages : en Pages : 152
Book Description
Successful investment strategies are specific implementations of general theories. An investment strategy that lacks a theoretical justification is likely to be false. Hence, an asset manager should concentrate her efforts on developing a theory rather than on backtesting potential trading rules. The purpose of this Element is to introduce machine learning (ML) tools that can help asset managers discover economic and financial theories. ML is not a black box, and it does not necessarily overfit. ML tools complement rather than replace the classical statistical methods. Some of ML's strengths include (1) a focus on out-of-sample predictability over variance adjudication; (2) the use of computational methods to avoid relying on (potentially unrealistic) assumptions; (3) the ability to "learn" complex specifications, including nonlinear, hierarchical, and noncontinuous interaction effects in a high-dimensional space; and (4) the ability to disentangle the variable search from the specification search, robust to multicollinearity and other substitution effects.
Author: Cengiz Kahraman Publisher: Springer ISBN: 3319179063 Category : Technology & Engineering Languages : en Pages : 747
Book Description
This book presents recently developed intelligent techniques with applications and theory in the area of engineering management. The involved applications of intelligent techniques such as neural networks, fuzzy sets, Tabu search, genetic algorithms, etc. will be useful for engineering managers, postgraduate students, researchers, and lecturers. The book has been written considering the contents of a classical engineering management book but intelligent techniques are used for handling the engineering management problem areas. This comprehensive characteristics of the book makes it an excellent reference for the solution of complex problems of engineering management. The authors of the chapters are well-known researchers with their previous works in the area of engineering management.
Author: Harry Katzan Jr.
Author: Piotr Buła
Author: Harry Katzan Jr.
Author: Michael Masuch
Author: Henriqueta Nóvoa
Author: P Kaliraj
Author: Malay A. Upadhyay
Author: Endre Pap
Author: David De Cremer
Author: Marcos M. López de Prado
Author: Cengiz Kahraman