Demystifying Ai For The Enterprise

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Demystifying AI for the Enterprise

Author : Prashant Natarajan
Publisher : CRC Press
ISBN 13 : 1351032933
Total Pages : 433 pages
Book Rating : 4.3/5 (51 download)

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Book Synopsis Demystifying AI for the Enterprise by : Prashant Natarajan

Download or read book Demystifying AI for the Enterprise written by Prashant Natarajan and published by CRC Press. This book was released on 2021-12-30 with total page 433 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial intelligence (AI) in its various forms –– machine learning, chatbots, robots, agents, etc. –– is increasingly being seen as a core component of enterprise business workflow and information management systems. The current promise and hype around AI are being driven by software vendors, academic research projects, and startups. However, we posit that the greatest promise and potential for AI lies in the enterprise with its applications touching all organizational facets. With increasing business process and workflow maturity, coupled with recent trends in cloud computing, datafication, IoT, cybersecurity, and advanced analytics, there is an understanding that the challenges of tomorrow cannot be solely addressed by today’s people, processes, and products. There is still considerable mystery, hype, and fear about AI in today’s world. A considerable amount of current discourse focuses on a dystopian future that could adversely affect humanity. Such opinions, with understandable fear of the unknown, don’t consider the history of human innovation, the current state of business and technology, or the primarily augmentative nature of tomorrow’s AI. This book demystifies AI for the enterprise. It takes readers from the basics (definitions, state-of-the-art, etc.) to a multi-industry journey, and concludes with expert advice on everything an organization must do to succeed. Along the way, we debunk myths, provide practical pointers, and include best practices with applicable vignettes. AI brings to enterprise the capabilities that promise new ways by which professionals can address both mundane and interesting challenges more efficiently, effectively, and collaboratively (with humans). The opportunity for tomorrow’s enterprise is to augment existing teams and resources with the power of AI in order to gain competitive advantage, discover new business models, establish or optimize new revenues, and achieve better customer and user satisfaction.

Demystifying the Dark Side of AI in Business

Author : Dadwal, Sumesh
Publisher : IGI Global
ISBN 13 :
Total Pages : 291 pages
Book Rating : 4.3/5 (693 download)

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Book Synopsis Demystifying the Dark Side of AI in Business by : Dadwal, Sumesh

Download or read book Demystifying the Dark Side of AI in Business written by Dadwal, Sumesh and published by IGI Global. This book was released on 2024-03-11 with total page 291 pages. Available in PDF, EPUB and Kindle. Book excerpt: Demystifying the Dark Side of AI in Business delves into the often-overlooked negative aspects of Artificial Intelligence (AI) and its implications for organizations. In an era where AI is rapidly transforming industries and work environments, it is crucial to understand the potential risks and challenges associated with its implementation. Drawing from a wide range of global perspectives, this book brings together articles from leading researchers, academicians, and professionals across disciplines to shed light on the dark side of AI. Through academic rigor and meticulous analysis, the book addresses key topics such as unethical AI implementation, safety risks, negative social impacts, unintended consequences, and legal concerns surrounding AI adoption. This book covers crucial topics such as governance, ethical concerns, safety risks, social impacts, and future perspectives. By illuminating the negative implications of AI, this book paves the way for responsible and informed AI adoption, ensuring a balance between the potential benefits and the inherent risks associated with this transformative technology. Targeting researchers, academicians, professionals, and students with a wide range of interests, this book offers a rich understanding of the theoretical and practical implications of AI. It serves as a valuable resource for management disciplines like human resource management, marketing, financial management, and operations management, enabling readers to grasp the nuances of ai in different organizational contexts.

Demystifying Artificial intelligence

Author : Prashant Kikani
Publisher : BPB Publications
ISBN 13 : 9389898706
Total Pages : 170 pages
Book Rating : 4.3/5 (898 download)

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Book Synopsis Demystifying Artificial intelligence by : Prashant Kikani

Download or read book Demystifying Artificial intelligence written by Prashant Kikani and published by BPB Publications. This book was released on 2021-01-05 with total page 170 pages. Available in PDF, EPUB and Kindle. Book excerpt: Learn AI & Machine Learning from the first principles. KEY FEATURESÊÊ _ Explore how different industries are using AI and ML for diverse use-cases. _ Learn core concepts of Data Science, Machine Learning, Deep Learning and NLP in an easy and intuitive manner. _ Cutting-edge coverage on use of ML for business products and services. _ Explore how different companies are monetizing AI and ML technologies. _ Learn how you can start your own journey in the AI field from scratch. DESCRIPTION AI and machine learning (ML) are probably the most fascinating technologies of the 21st century. AI is literally in every industry now. From medical to climate change, education to sport, finance to entertainment, AI is disrupting every industry as we know. So, the basic knowledge of AI/ML becomes mandatory for everyone. This book is your first step to start the journey in this field. Along with basic concepts of fields, like machine learning, deep learning and NLP, we will also explore how big companies are using these technologies to deliver greater user experience and earning millions of dollars in profit. Also, we will see how the owners of small- or medium-sized businesses can leverage and integrate these technologies with their products and services. Leveraging AI and ML can become that competitive moat which can differentiate the product from others. In this book, you will learn the root concepts of AI/ML and how these inanimate machines can actually become smarter than the humans at a few tasks, and how companies are using AI and how you can leverage AI to earn profits. WHAT YOU WILL LEARN Ê _ Core concepts of data science, machine learning, deep learning and NLP in simple and intuitive words. _ How you can leverage and integrate AI technologies in your business to differentiate your product in the market. _ The limitations of traditional non-tech businesses and how AI can bridge those gaps to increase revenues and decrease costs. _ How AI can help companies in launching new products, improving existing ones and automating mundane processes. _ Explore how big tech companies are using AI to automate different tasks and providing unique product experiences to their users. WHO THIS BOOK IS FORÊÊ This book is for anyone who is curious about this fascinating technology and how it really works at its core. It is also beneficial to those who want to start their career in AI/ ML. TABLE OF CONTENTSÊ 1. Introduction 2. Going deeper in ML concepts 3. Business perspective of AI 4. How to get started and pitfalls to avoid

Enterprise AI For Dummies

Author : Zachary Jarvinen
Publisher : John Wiley & Sons
ISBN 13 : 1119696380
Total Pages : 352 pages
Book Rating : 4.1/5 (196 download)

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Book Synopsis Enterprise AI For Dummies by : Zachary Jarvinen

Download or read book Enterprise AI For Dummies written by Zachary Jarvinen and published by John Wiley & Sons. This book was released on 2020-08-17 with total page 352 pages. Available in PDF, EPUB and Kindle. Book excerpt: Master the application of artificial intelligence in your enterprise with the book series trusted by millions In Enterprise AI For Dummies, author Zachary Jarvinen simplifies and explains to readers the complicated world of artificial intelligence for business. Using practical examples, concrete applications, and straightforward prose, the author breaks down the fundamental and advanced topics that form the core of business AI. Written for executives, managers, employees, consultants, and students with an interest in the business applications of artificial intelligence, Enterprise AI For Dummies demystifies the sometimes confusing topic of artificial intelligence. No longer will you lag behind your colleagues and friends when discussing the benefits of AI and business. The book includes discussions of AI applications, including : · Streamlining business operations · Improving decision making · Increasing automation · Maximizing revenue The For Dummies series makes topics understandable, and as such, this book is written in an easily understood style that’s perfect for anyone who seeks an introduction to a usually unforgiving topic.

Time Is Now

Author : Raj Verma
Publisher : Forbesbooks
ISBN 13 :
Total Pages : 0 pages
Book Rating : 4.8/5 (875 download)

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Book Synopsis Time Is Now by : Raj Verma

Download or read book Time Is Now written by Raj Verma and published by Forbesbooks. This book was released on 2024-04-16 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Technology has transformed our professional and personal lives. In the future, the integration of tech, business, and life will become even more seamless. With so much rapid change, how can leaders adapt their decision making for success? In Time is Now, Raj Verma takes readers on a journey to demystify AI and the future of decision making. Through both personal and professional reflections, Verma shows the power of Now as a convergence of Information, Context, and Choice: Information is data, the collection of memory which shapes our identity. Context is the analysis of all information in the present. Choice is focused on the future, approached with courage and conscience. From these three pillars of Now, we write our future--for better or worse. How can we leverage artificial intelligence to amplify our own intelligence? By demystifying AI, can we demystify ourselves? The pages inside provide the first steps to answer these important questions.

Demystifying AI: A Comprehensive Guide to Microsoft Certified Azure AI Fundamentals

Author : Mark Duncan
Publisher : LLZ Publishing
ISBN 13 :
Total Pages : 55 pages
Book Rating : 4./5 ( download)

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Book Synopsis Demystifying AI: A Comprehensive Guide to Microsoft Certified Azure AI Fundamentals by : Mark Duncan

Download or read book Demystifying AI: A Comprehensive Guide to Microsoft Certified Azure AI Fundamentals written by Mark Duncan and published by LLZ Publishing. This book was released on with total page 55 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Unlocking Azure AI" is a comprehensive guide that provides readers with a deep dive into the world of artificial intelligence (AI) on the Microsoft Azure platform. This book serves as a roadmap for individuals looking to explore, understand, and leverage the full potential of Azure AI services to solve real-world problems and drive innovation. With the exponential growth of AI technologies and their increasing integration into various industries and applications, there is a growing demand for professionals who possess the knowledge and skills to develop, deploy, and manage AI solutions on cloud platforms like Azure. "Unlocking Azure AI" addresses this need by offering a structured and accessible approach to learning Azure AI concepts and services. The book begins by introducing readers to the fundamentals of AI, providing a foundational understanding of key concepts such as machine learning, natural language processing, computer vision, and conversational AI. Readers will learn how AI is transforming industries and reshaping the way businesses operate and interact with customers. As readers progress through the book, they will explore the rich ecosystem of Azure AI services offered by Microsoft, including Azure Cognitive Services, Azure Machine Learning, and Azure Bot Services. Each chapter delves into a specific aspect of Azure AI, covering topics such as: Understanding the capabilities and use cases of Azure Cognitive Services, including vision, speech, language, and decision services. Building and training machine learning models using Azure Machine Learning, from data preparation and model development to deployment and management. Developing intelligent chatbots and virtual agents using Azure Bot Services to automate customer support and enhance user experiences. The book provides practical guidance, hands-on examples, and real-world case studies to illustrate how Azure AI services can be applied to solve common business challenges across various industries. Readers will learn how to leverage Azure AI to enhance productivity, drive innovation, and gain competitive advantage in today's digital economy. In addition to technical content, "Unlocking Azure AI" also addresses ethical considerations and implications in AI development and deployment, helping readers understand the importance of responsible AI practices and ensuring fairness, transparency, and accountability in AI systems. Whether you're a developer, data scientist, IT professional, or business leader, "Unlocking Azure AI" is your go-to resource for mastering Azure AI and unlocking the full potential of artificial intelligence on the Microsoft Azure platform. With its comprehensive coverage, practical insights, and actionable advice, this book empowers readers to embark on their Azure AI journey with confidence and competence.

AI for Executives

Author : Mark Kelly (AI Ireland founder)
Publisher :
ISBN 13 :
Total Pages : 0 pages
Book Rating : 4.8/5 (627 download)

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Book Synopsis AI for Executives by : Mark Kelly (AI Ireland founder)

Download or read book AI for Executives written by Mark Kelly (AI Ireland founder) and published by . This book was released on 2023 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Artificial Intelligence for Business

Author : Tara Mills
Publisher : Tara Mills
ISBN 13 :
Total Pages : 0 pages
Book Rating : 4.2/5 (246 download)

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Book Synopsis Artificial Intelligence for Business by : Tara Mills

Download or read book Artificial Intelligence for Business written by Tara Mills and published by Tara Mills. This book was released on 2024-03-08 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Artificial Intelligence For Business" is your comprehensive guide to unlocking the potential of AI to transform your organization. From understanding the fundamentals to implementing cutting-edge AI solutions, this book equips business leaders with the knowledge and strategies needed to thrive in the digital age. Demystifying AI: Gain a clear understanding of artificial intelligence and its applications in the business world, breaking down complex concepts into practical insights that can be applied across industries. Strategic Implementation: Learn how to develop an AI strategy tailored to your organization's goals and challenges, from identifying use cases to selecting the right AI technologies and tools for maximum impact. Driving Innovation: Discover how AI can drive innovation and competitive advantage, from enhancing customer experiences and streamlining operations to uncovering new business opportunities and revenue streams. Ethical Considerations: Navigate the ethical implications of AI adoption, addressing key concerns such as data privacy, bias, and transparency to ensure responsible and ethical AI use within your organization.

Demystifying Artificial Intelligence

Author : Emmanuel Gillain
Publisher :
ISBN 13 : 9783111425672
Total Pages : 0 pages
Book Rating : 4.4/5 (256 download)

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Book Synopsis Demystifying Artificial Intelligence by : Emmanuel Gillain

Download or read book Demystifying Artificial Intelligence written by Emmanuel Gillain and published by . This book was released on 2024-08-19 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Readable as a whole or by chapter, this book is intended for business practitioners that have a bachelor or master's degree outside of the field of computer science or AI but still want to go deeper in their understanding of the AI technologies, their applicability and limitations. Such reading can also be useful as a general introduction for students taking an MBA class, or similar. The reader will find in this book a solid overview of the different AI technologies supporting systems that search, plan, reason, learn, adapt, understand or interact. All these terms are demystified in the book. The book covers the two traditional paradigms in AI: on one side, data-driven AI systems, that learn and perform by ingesting millions of data points into machine learning algorithms, and on the other side the consciously modelled AI systems, known as "symbolic AI" systems, that explicitly use symbolic representations. Rather than opposing those two paradigms, the book also shows how those different fields can complement each other and can be combined for even richer applications. Chapters are all structured in a pragmatic way that answers common sense questions about the why, what, how and limitations. The theory is illustrated with 22 real-world examples from the industry, giving altogether a solid understanding of AI concepts, applicability, and limitations.

Demystifying Big Data and Machine Learning for Healthcare

Author : Prashant Natarajan
Publisher : CRC Press
ISBN 13 : 1315389312
Total Pages : 210 pages
Book Rating : 4.3/5 (153 download)

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Book Synopsis Demystifying Big Data and Machine Learning for Healthcare by : Prashant Natarajan

Download or read book Demystifying Big Data and Machine Learning for Healthcare written by Prashant Natarajan and published by CRC Press. This book was released on 2017-02-15 with total page 210 pages. Available in PDF, EPUB and Kindle. Book excerpt: Healthcare transformation requires us to continually look at new and better ways to manage insights – both within and outside the organization today. Increasingly, the ability to glean and operationalize new insights efficiently as a byproduct of an organization’s day-to-day operations is becoming vital to hospitals and health systems ability to survive and prosper. One of the long-standing challenges in healthcare informatics has been the ability to deal with the sheer variety and volume of disparate healthcare data and the increasing need to derive veracity and value out of it. Demystifying Big Data and Machine Learning for Healthcare investigates how healthcare organizations can leverage this tapestry of big data to discover new business value, use cases, and knowledge as well as how big data can be woven into pre-existing business intelligence and analytics efforts. This book focuses on teaching you how to: Develop skills needed to identify and demolish big-data myths Become an expert in separating hype from reality Understand the V’s that matter in healthcare and why Harmonize the 4 C’s across little and big data Choose data fi delity over data quality Learn how to apply the NRF Framework Master applied machine learning for healthcare Conduct a guided tour of learning algorithms Recognize and be prepared for the future of artificial intelligence in healthcare via best practices, feedback loops, and contextually intelligent agents (CIAs) The variety of data in healthcare spans multiple business workflows, formats (structured, un-, and semi-structured), integration at point of care/need, and integration with existing knowledge. In order to deal with these realities, the authors propose new approaches to creating a knowledge-driven learning organization-based on new and existing strategies, methods and technologies. This book will address the long-standing challenges in healthcare informatics and provide pragmatic recommendations on how to deal with them.

Embedding Artificial Intelligence into ERP Software

Author : Siar Sarferaz
Publisher : Springer Nature
ISBN 13 : 3031542495
Total Pages : 436 pages
Book Rating : 4.0/5 (315 download)

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Book Synopsis Embedding Artificial Intelligence into ERP Software by : Siar Sarferaz

Download or read book Embedding Artificial Intelligence into ERP Software written by Siar Sarferaz and published by Springer Nature. This book was released on with total page 436 pages. Available in PDF, EPUB and Kindle. Book excerpt:

AIX: Artificial Intelligence Needs EXplanation: Why and how Transparency Increases the Success of AI Solutions

Author : Silvie Spreeuwenberg
Publisher :
ISBN 13 : 9789081556842
Total Pages : 94 pages
Book Rating : 4.5/5 (568 download)

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Book Synopsis AIX: Artificial Intelligence Needs EXplanation: Why and how Transparency Increases the Success of AI Solutions by : Silvie Spreeuwenberg

Download or read book AIX: Artificial Intelligence Needs EXplanation: Why and how Transparency Increases the Success of AI Solutions written by Silvie Spreeuwenberg and published by . This book was released on 2019-11-20 with total page 94 pages. Available in PDF, EPUB and Kindle. Book excerpt: Making predictions and good decisions is difficult. Huge amounts of data are available, and it promises a new source for knowledge to improve human decision making. However, the available technology is not transparent, the resulting decisions may be biased, and people question the ethics of AI. This book offers the solution: explainable (XAI) AI. It provides 5 reasons why explainable AI is more successful and six steps to start successfully applying XAI.In AIX, an acknowledged expert in the field of AI provides practical guidance and convincing arguments for responsible business managers to take ownership of the intelligence required to design effective decision support systems. Easy to read, using many examples and by demystifying AI technology this book will replace fear for AI with a simple and responsible strategy. Insightful for managers and specialists.

AI Unraveled

Author : Etienne Noumen
Publisher : Independently Published
ISBN 13 :
Total Pages : 0 pages
Book Rating : 4.3/5 (775 download)

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Book Synopsis AI Unraveled by : Etienne Noumen

Download or read book AI Unraveled written by Etienne Noumen and published by Independently Published. This book was released on 2023-02-16 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Welcome to AI Unraveled: Demystifying Frequently Asked Questions on Artificial Intelligence. In this audiobook, we will explore the world of artificial intelligence and answer the most commonly asked questions about it. From what is artificial intelligence to how it is transforming industries, this book will help you demystify and understand this cutting-edge technology. So let's dive in and unravel the world of artificial intelligence." Chapter 1: Introduction to Artificial Intelligence "In this chapter, we'll explore the basics of artificial intelligence, including what it is, how it works, and the different types of AI. We'll also discuss the history of AI and how it has evolved over the years." Chapter 2: Machine Learning "Machine learning is a subset of artificial intelligence that involves training computer programs to learn from data. In this chapter, we'll dive deeper into what machine learning is, how it works, and the different types of machine learning algorithms." Chapter 3: Deep Learning "Deep learning is a type of machine learning that uses artificial neural networks to learn and make decisions. In this chapter, we'll explore what deep learning is, how it works, and the different types of deep learning algorithms." Chapter 4: Natural Language Processing "Natural language processing is a field of artificial intelligence that focuses on enabling machines to understand and interpret human language. In this chapter, we'll explore what natural language processing is, how it works, and its applications in various industries." Chapter 5: Computer Vision "Computer vision is a field of artificial intelligence that focuses on enabling machines to see and interpret visual data. In this chapter, we'll explore what computer vision is, how it works, and its applications in various industries." Chapter 6: AI Ethics and Bias "Artificial intelligence is a powerful technology that has the potential to transform industries and improve our lives. However, it also raises important ethical and bias concerns. In this chapter, we'll explore the ethical implications of AI and the challenges of preventing bias in AI systems." Chapter 7: AI in Industry "Artificial intelligence is already transforming various industries, including healthcare, finance, manufacturing, and transportation. In this chapter, we'll explore the different ways AI is being used in these industries, the benefits it offers, and the challenges that must be addressed." Chapter 8: AI and Society "Artificial intelligence has the potential to have a significant impact on society, from improving our quality of life to transforming the job market. In this chapter, we'll explore the social implications of AI and how it is changing the way we live and work." Chapter 9: The Future of AI "Artificial intelligence is an exciting and rapidly evolving field, and its future is full of possibilities. In this chapter, we'll explore the trends and developments shaping the future of AI and what we can expect to see in the years to come." Keywords: AI Artificial Intelligence Machine Learning Neural networks Data science AI ethics Automation Robotics Natural language processing Intelligent agents Cognitive computing AI applications AI impact Technology Demystifying AI Frequently asked questions (FAQs) ChatGPT OpenAI

The AI-Enabled Enterprise

Author : Vinay Kulkarni
Publisher : Springer Nature
ISBN 13 : 3031290534
Total Pages : 144 pages
Book Rating : 4.0/5 (312 download)

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Book Synopsis The AI-Enabled Enterprise by : Vinay Kulkarni

Download or read book The AI-Enabled Enterprise written by Vinay Kulkarni and published by Springer Nature. This book was released on 2023-12-17 with total page 144 pages. Available in PDF, EPUB and Kindle. Book excerpt: The AI enabled enterprise uses technology to continuously learn by monitoring its behavior and the environment as well as external knowledge sources in order to automate the decision-making and decision-implementation processes leading to continuous improvement over time. This book discusses the key challenges that organizations need to overcome in achieving an AI enabled enterprise: the role of digital twins in evidence-backed design, enterprise cartography that goes far beyond process mining, decision-making in the face of uncertainty, software architecture for continuous adaptation, democratized knowledge-guided software development enabling coordinated design, low code versus no code, and coherent design. For each challenge, the book proposes a line of attack along with the associated enabling technology and illustrates the same through a near real world use case.

Artificial Intelligence Research

Author : Anban Pillay
Publisher : Springer Nature
ISBN 13 : 3031223217
Total Pages : 411 pages
Book Rating : 4.0/5 (312 download)

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Book Synopsis Artificial Intelligence Research by : Anban Pillay

Download or read book Artificial Intelligence Research written by Anban Pillay and published by Springer Nature. This book was released on 2022-11-30 with total page 411 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the Third Southern African Conference on Artificial Intelligence Research, SACAIR 2022, held in Stellenbosch, South Africa, in December 2022. The 26 papers presented were thoroughly reviewed and selected from the 73 submissions. They are organized on the topical sections on algorithmic, data driven and symbolic AI; socio-technical and human-centered AI; responsible and ethical AI.

Ethics in Online AI-Based Systems

Author : Santi Caballé
Publisher : Elsevier
ISBN 13 : 0443188505
Total Pages : 425 pages
Book Rating : 4.4/5 (431 download)

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Book Synopsis Ethics in Online AI-Based Systems by : Santi Caballé

Download or read book Ethics in Online AI-Based Systems written by Santi Caballé and published by Elsevier. This book was released on 2024-04-19 with total page 425 pages. Available in PDF, EPUB and Kindle. Book excerpt: Recent technological advancements have deeply transformed society and the way people interact with each other. Instantaneous communication platforms have allowed connections with other people, forming global communities, and creating unprecedented opportunities in many sectors, making access to online resources more ubiquitous by reducing limitations imposed by geographical distance and temporal constrains. These technological developments bear ethically relevant consequences with their deployment, and legislations often lag behind such advancements. Because the appearance and deployment of these technologies happen much faster than legislative procedures, the way these technologies affect social interactions have profound ethical effects before any legislative regulation can be built, in order to prevent and mitigate those effects. Ethics in Online AI-Based Systems: Risks and Opportunities in Current Technological Trends features a series of reflections from experts in different fields on potential ethically relevant outcomes that upcoming technological advances could bring about in our society. Creating a space to explore the ethical relevance that technologies currently still under development could have constitutes an opportunity to better understand how these technologies could or should not be used in the future in order to maximize their ethically beneficial outcomes, while avoiding potential detrimental effects. Stimulating reflection and considerations with respect to the design, deployment and use of technology will help guide current and future technological advancements from an ethically informed position in order to ensure that, tomorrow, such advancements could contribute towards solving current global and social challenges that we, as a society, have today. This will not only be useful for researchers and professional engineers, but also for educators, policy makers, and ethicists. Investigates how "intelligent" technological advances might be used, how they will affect social interactions, and what ethical consequences they might have for society Identifies and reflects on questions that need to be asked before the design, deployment, and application of upcoming technological advancements, aiming to both prevent and mitigate potential risks, as well as to identify potentially ethically-beneficial opportunities Recognizes the huge potential for ethically-relevant outcomes that technological advancements have, and take proactive steps to anticipate that they be designed from an ethically-informed position Provides reflections that highlight the importance of the relationship between technology, their users and our society, thus encouraging informed design and educational and legislative approaches that take this relationship into account

Demystifying OWL for the Enterprise

Author : Michael Uschold
Publisher : Morgan & Claypool Publishers
ISBN 13 : 1681731282
Total Pages : 263 pages
Book Rating : 4.6/5 (817 download)

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Book Synopsis Demystifying OWL for the Enterprise by : Michael Uschold

Download or read book Demystifying OWL for the Enterprise written by Michael Uschold and published by Morgan & Claypool Publishers. This book was released on 2018-05-29 with total page 263 pages. Available in PDF, EPUB and Kindle. Book excerpt: The purpose of this book is to speed up the processing of learning and mastering the Web Ontology Language OWL. To that end, the focus is on the 30% of OWL that gets used 90% of the time. After a slow incubation period of nearly 15 years, a large and growing number of organizations now have one or more projects using the Semantic Web stack of technologies. The Web Ontology Language (OWL) is an essential ingredient in this stack, and the need for ontologists is increasing faster than the number and variety of available resources for learning OWL. This is especially true for the primary target audience for this book: modelers who want to build OWL ontologies for practical use in enterprise and government settings. Others who may benefit from this book include technically oriented managers, semantic technology developers, undergraduate and post-graduate students, and finally, instructors looking for new ways to explain OWL. The book unfolds in a spiral manner, starting with the core ideas. Each subsequent cycle reinforces and expands on what has been learned in prior cycles and introduces new related ideas. Part 1 is a cook's tour of ontology and OWL, giving an informal overview of what things need to be said to build an ontology, followed by a detailed look at how to say them in OWL. This is illustrated using a healthcare example. Part 1 concludes with an explanation of some foundational ideas about meaning and semantics to prepare the reader for subsequent chapters. Part 2 goes into depth on properties and classes, which are the core of OWL. There are detailed descriptions of the main constructs that you are likely to need in every day modeling, including what inferences are sanctioned. Each is illustrated with real-world examples. Part 3 explains and illustrates how to put OWL into practice, using examples in healthcare, collateral, and financial transactions. A small ontology is described for each, along with some key inferences. Key limitations of OWL are identified, along with possible workarounds. The final chapter gives a variety of practical tips and guidelines to send the reader on their way.