January 21, 2021

Download Ebook Free Digital Business Ecosystem Patterns Architecture Blueprints For Applying Iot Blockchain And Data Analytics To Achieve Business Outcomes

Digital Business Ecosystem Patterns: Architecture Blueprints for Applying Iot, Blockchain and Data Analytics to Achieve Business Outcomes

Digital Business Ecosystem Patterns: Architecture Blueprints for Applying Iot, Blockchain and Data Analytics to Achieve Business Outcomes
Author : James R. Odrowski
Publisher : Independently Published
Release Date : 2018-12-08
Category : Technology & Engineering
Total pages :532
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These are both exciting and challenging times for today's business leaders. Advances in information technology (IT) have enabled new business capabilities that are stretching the limits of our imaginations. Robots, artificial intelligence (AI), drones and autonomous cars are part of our common vocabulary. The latest technologies, including the Internet of Things (IoT), blockchain, and machine learning are expected to transform many industries. Anticipated business outcomes include new revenue streams, reduced operating costs and more intimate customer relationships. The possibilities are endless, but for many organizations their digital business transformation is inhibited by: -Too much focus on technology and not enough on the business problem being solved. -High complexity of coordinating diverse technologies with multiple layers and integration points.-Weak foundations to build upon, including outdated legacy technologies and lack of skills. As the pace of innovation speeds up, new strategies are needed to succeed in the next big wave of business and technology change.This book identifies a fundamental change in how business systems are developed - describing an ecosystems approach for digital business solutions. It addresses the gap between the promise of new technology and its practical application.-It helps CEOs, CIO/CTOs, and Enterprise Architects develop a strategy for digital business leveraging today's advanced technologies like IoT, blockchain, and AI / machine learning.-It identifies how traditional organizations can leverage their current IT investments and partner with innovative start-ups to fill capability gaps.-It provides IT governance and security professionals with practical guidance for managing the risks of digital business.This book provides a catalog of digital business ecosystem patterns that address 10 common business problems faced by asset-intensive organizations including: asset tracking, asset maintenance, performance monitoring, usage metering, automated inspections, dynamic marketplaces, alternative payment mechanisms, and the use of autonomous vehicles. The patterns are also applicable to delivering large-scale ecosystem solutions for smart city, smart farm, advanced health care, and modern factory initiatives.

Interdisciplinary Approaches to Digital Transformation and Innovation

Interdisciplinary Approaches to Digital Transformation and Innovation
Author : Luppicini, Rocci
Publisher : IGI Global
Release Date : 2019-12-27
Category : Business & Economics
Total pages :368
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Business approaches in today’s society have become technologically-driven and highly-applicable within various professional fields. These business practices have transcended traditional boundaries with the implementation of internet technology, making it challenging for professionals outside of the business world to understand these advancements. Interdisciplinary research on business technology is required to better comprehend its innovations. Interdisciplinary Approaches to Digital Transformation and Innovation provides emerging research exploring the complex interconnections of technological business practices within society. This book will explore the practical and theoretical aspects of e-business technology within the fields of engineering, health, and social sciences. Featuring coverage on a broad range of topics such as data monetization, mobile commerce, and digital marketing, this book is ideally designed for researchers, managers, students, engineers, computer scientists, economists, technology designers, information specialists, and administrators seeking current research on the application of e-business technologies within multiple fields.

The AI Advantage

The AI Advantage
Author : Thomas H. Davenport
Publisher : Unknown
Release Date : 2019-07-26
Category : Artificial intelligence
Total pages :231
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Cutting through the hype, a practical guide to using artificial intelligence for business benefits and competitive advantage. In The AI Advantage, Thomas Davenport offers a guide to using artificial intelligence in business. He describes what technologies are available and how companies can use them for business benefits and competitive advantage. He cuts through the hype of the AI craze--remember when it seemed plausible that IBM's Watson could cure cancer?--to explain how businesses can put artificial intelligence to work now, in the real world. His key recommendation: don't go for the "moonshot" (curing cancer, or synthesizing all investment knowledge); look for the "low-hanging fruit" to make your company more efficient. Davenport explains that the business value AI offers is solid rather than sexy or splashy. AI will improve products and processes and make decisions better informed--important but largely invisible tasks. AI technologies won't replace human workers but augment their capabilities, with smart machines to work alongside smart people. AI can automate structured and repetitive work; provide extensive analysis of data through machine learning ("analytics on steroids"), and engage with customers and employees via chatbots and intelligent agents. Companies should experiment with these technologies and develop their own expertise. Davenport describes the major AI technologies and explains how they are being used, reports on the AI work done by large commercial enterprises like Amazon and Google, and outlines strategies and steps to becoming a cognitive corporation. This book provides an invaluable guide to the real-world future of business AI. A book in the Management on the Cutting Edge series, published in cooperation with MIT Sloan Management Review.

Briggs

Briggs
Author : Barry Briggs,Eduardo Kassner
Publisher : Microsoft Press
Release Date : 2016-01-07
Category : Computers
Total pages :112
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How do you start? How should you build a plan for cloud migration for your entire portfolio? How will your organization be affected by these changes? This book, based on real-world cloud experiences by enterprise IT teams, seeks to provide the answers to these questions. Here, you’ll see what makes the cloud so compelling to enterprises; with which applications you should start your cloud journey; how your organization will change, and how skill sets will evolve; how to measure progress; how to think about security, compliance, and business buy-in; and how to exploit the ever-growing feature set that the cloud offers to gain strategic and competitive advantage.

Blockchain

Blockchain
Author : Melanie Swan
Publisher : "O'Reilly Media, Inc."
Release Date : 2015-01-24
Category : Business & Economics
Total pages :152
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Bitcoin is starting to come into its own as a digital currency, but the blockchain technology behind it could prove to be much more significant. This book takes you beyond the currency ("Blockchain 1.0") and smart contracts ("Blockchain 2.0") to demonstrate how the blockchain is in position to become the fifth disruptive computing paradigm after mainframes, PCs, the Internet, and mobile/social networking. Author Melanie Swan, Founder of the Institute for Blockchain Studies, explains that the blockchain is essentially a public ledger with potential as a worldwide, decentralized record for the registration, inventory, and transfer of all assets—not just finances, but property and intangible assets such as votes, software, health data, and ideas. Topics include: Concepts, features, and functionality of Bitcoin and the blockchain Using the blockchain for automated tracking of all digital endeavors Enabling censorship?resistant organizational models Creating a decentralized digital repository to verify identity Possibility of cheaper, more efficient services traditionally provided by nations Blockchain for science: making better use of the data-mining network Personal health record storage, including access to one’s own genomic data Open access academic publishing on the blockchain This book is part of an ongoing O’Reilly series. Mastering Bitcoin: Unlocking Digital Crypto-Currencies introduces Bitcoin and describes the technology behind Bitcoin and the blockchain. Blockchain: Blueprint for a New Economy considers theoretical, philosophical, and societal impact of cryptocurrencies and blockchain technologies.

Big Data Analytics: Systems, Algorithms, Applications

Big Data Analytics: Systems, Algorithms, Applications
Author : C.S.R. Prabhu,Aneesh Sreevallabh Chivukula,Aditya Mogadala,Rohit Ghosh,L.M. Jenila Livingston
Publisher : Springer Nature
Release Date : 2019-10-14
Category : Computers
Total pages :412
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This book provides a comprehensive survey of techniques, technologies and applications of Big Data and its analysis. The Big Data phenomenon is increasingly impacting all sectors of business and industry, producing an emerging new information ecosystem. On the applications front, the book offers detailed descriptions of various application areas for Big Data Analytics in the important domains of Social Semantic Web Mining, Banking and Financial Services, Capital Markets, Insurance, Advertisement, Recommendation Systems, Bio-Informatics, the IoT and Fog Computing, before delving into issues of security and privacy. With regard to machine learning techniques, the book presents all the standard algorithms for learning – including supervised, semi-supervised and unsupervised techniques such as clustering and reinforcement learning techniques to perform collective Deep Learning. Multi-layered and nonlinear learning for Big Data are also covered. In turn, the book highlights real-life case studies on successful implementations of Big Data Analytics at large IT companies such as Google, Facebook, LinkedIn and Microsoft. Multi-sectorial case studies on domain-based companies such as Deutsche Bank, the power provider Opower, Delta Airlines and a Chinese City Transportation application represent a valuable addition. Given its comprehensive coverage of Big Data Analytics, the book offers a unique resource for undergraduate and graduate students, researchers, educators and IT professionals alike.

Mastering Digital Business

Mastering Digital Business
Author : Nicholas D. Evans
Publisher : BCS, The Chartered Institute for IT
Release Date : 2017-01-31
Category : Business & Economics
Total pages :196
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This strategic guide for business and IT executives focuses on how today's most disruptive technologies can be applied in powerful combinations along with platform business models, mastery of digital services, and leading practices in corporate innovation, to help you develop and execute your digital strategies for competitive advantage.

Business Transformation through Blockchain

Business Transformation through Blockchain
Author : Horst Treiblmaier,Roman Beck
Publisher : Springer
Release Date : 2018-12-30
Category : Business & Economics
Total pages :362
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The second volume of this edited collection offers a number of contributions from leading scholars investigating Blockchain and its implications for business. Focusing on the transformation of the overall value chain, the sections cover the foundations of Blockchain and its sustainability, social and legal applications. It features a variety of use cases, from tourism to healthcare. Using a number of theoretical and methodological approaches, this innovative publication aims to further the cause of this ground-breaking technology and its use within information technology, supply chain and wider business management research.

The Innovator's Dilemma

The Innovator's Dilemma
Author : Clayton M. Christensen
Publisher : Harvard Business Review Press
Release Date : 2015-12-15
Category : Business & Economics
Total pages :288
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Named one of 100 Leadership & Success Books to Read in a Lifetime by Amazon Editors A Wall Street Journal and Businessweek bestseller. Named by Fast Company as one of the most influential leadership books in its Leadership Hall of Fame. An innovation classic. From Steve Jobs to Jeff Bezos, Clay Christensen’s work continues to underpin today’s most innovative leaders and organizations. The bestselling classic on disruptive innovation, by renowned author Clayton M. Christensen. His work is cited by the world’s best-known thought leaders, from Steve Jobs to Malcolm Gladwell. In this classic bestseller—one of the most influential business books of all time—innovation expert Clayton Christensen shows how even the most outstanding companies can do everything right—yet still lose market leadership. Christensen explains why most companies miss out on new waves of innovation. No matter the industry, he says, a successful company with established products will get pushed aside unless managers know how and when to abandon traditional business practices. Offering both successes and failures from leading companies as a guide, The Innovator’s Dilemma gives you a set of rules for capitalizing on the phenomenon of disruptive innovation. Sharp, cogent, and provocative—and consistently noted as one of the most valuable business ideas of all time—The Innovator’s Dilemma is the book no manager, leader, or entrepreneur should be without.

The Keystone Advantage

The Keystone Advantage
Author : Marco Iansiti,Roy Levien
Publisher : Harvard Business Press
Release Date : 2004
Category : Business & Economics
Total pages :255
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Today, many companies operate within a complex network of firms that all depend on each other for success. In this book, authors Marco Iansiti and Roy Levien use the powerful example of biological ecosystems to show how companies can leverage these emerging business networks for long-term success. The book's title, "The Keystone Advantage", is taken directly from biology - it refers to "keystone species", which proactively maintain the healthy functioning of their entire ecosystem for a simple reason: their own survival depends on it. In the same way, say the authors, companies can protect and ensure their own success by deliberately fostering the combined health of the network they operate in.

Enterprise Architecture for Digital Business

Enterprise Architecture for Digital Business
Author : Tushar K. Hazra,Bhuvan Unhelkar
Publisher : CRC Press
Release Date : 2020-10-15
Category : Business & Economics
Total pages :282
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Enterprise Architecture (EA) is an essential part of the fabric of a business; however, EA also transcends and transforms technology and moves it into the business space. Therefore, EA needs to be discussed in an integrated, holistic, and comprehensive manner. Only such an integrated approach to EA can provide the foundation for a transformation that readies the business for the myriad enterprise-wide challenges it will face. Highly disruptive technologies such as Big Data, Machine Learning, and Mobile and Cloud Computing require a fine balance between their business and technical aspects as an organization moves forward with its digital transformation. This book focuses on preparing all organizations – large and small – and those wishing to move into them for the impact of leveraging these emerging, disruptive, and innovative technologies within the EA framework.

Machine Learning for Decision Makers

Machine Learning for Decision Makers
Author : Patanjali Kashyap
Publisher : Apress
Release Date : 2018-01-04
Category : Computers
Total pages :355
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Take a deep dive into the concepts of machine learning as they apply to contemporary business and management. You will learn how machine learning techniques are used to solve fundamental and complex problems in society and industry. Machine Learning for Decision Makers serves as an excellent resource for establishing the relationship of machine learning with IoT, big data, and cognitive and cloud computing to give you an overview of how these modern areas of computing relate to each other. This book introduces a collection of the most important concepts of machine learning and sets them in context with other vital technologies that decision makers need to know about. These concepts span the process from envisioning the problem to applying machine-learning techniques to your particular situation. This discussion also provides an insight to help deploy the results to improve decision-making. The book uses case studies and jargon busting to help you grasp the theory of machine learning quickly. You'll soon gain the big picture of machine learning and how it fits with other cutting-edge IT services. This knowledge will give you confidence in your decisions for the future of your business. What You Will Learn Discover the machine learning, big data, and cloud and cognitive computing technology stack Gain insights into machine learning concepts and practices Understand business and enterprise decision-making using machine learning Absorb machine-learning best practices Who This Book Is For Managers tasked with making key decisions who want to learn how and when machine learning and related technologies can help them.

Internet of Things

Internet of Things
Author : Peter Friess
Publisher : River Publishers
Release Date : 2013-06
Category : Technology & Engineering
Total pages :364
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The book aims to provide a broad overview of various topics of the Internet of Things (IoT) from the research and development priorities to enabling technologies, architecture, security, privacy, interoperability and industrial applications. It is intended to be a stand-alone book in a series that covers the Internet of Things activities of the IERC - Internet of Things European Research Cluster - from technology to international cooperation and the global "state of play." The book builds on the ideas put forward by the European Research Cluster on the Internet of Things Strategic Research and Innovation Agenda and presents views and state of the art results on the challenges facing the research, development and deployment of IoT at the global level. Today we see the integration of Industrial, Business and Consumer Internet which is bringing together the Internet of People, Internet of Things, Internet of Energy, Internet of Vehicles, Internet of Media, Services and Enterprises in forming the backbone of the digital economy, the digital society and the foundation for the future knowledge and innovation based economy. These developments are supporting solutions for the emerging challenges of public health, aging population, environmental protection and climate change, the conservation of energy and scarce materials, enhancements to safety and security and the continuation and growth of economic prosperity. Penetration of smartphones and advances in nanoelectronics, cyber-physical systems, wireless communication, software, and Cloud computing technology will be the main drivers for IoT development. The IoT contribution is seen in the increased value of information created by the number of interconnections among things and the transformation of the processed information into knowledge shared into the Internet of Everything. The connected devices are part of ecosystems connecting people, processes, data, and things which are communicating in the Cloud using the increased storage and computing power while attempting to standardize communication and metadata. In this context, the next generation of Cloud computing technologies will need to be flexible enough to scale autonomously, adaptive enough to handle constantly changing connections and resilient enough to stand up to the huge flows of data that will occur. In 2025, analysts forecast that there will be six devices per human on the planet, which means around 50 billion more connected devices over the next 12 years. The Internet of Things market is connected to this anticipated device growth from industrial Machine to Machine (M2M) systems, smart meters and wireless sensors. Internet of Things technology will generate new services and new interfaces by creating smart environments and smart spaces with applications ranging from Smart Cities, Smart Transport, Buildings, Energy, Grid, to Smart Health and Life.

Blockchain Technology for Industry 4.0

Blockchain Technology for Industry 4.0
Author : Rodrigo da Rosa Righi,Antonio Marcos Alberti,Madhusudan Singh
Publisher : Springer Nature
Release Date : 2020-01-03
Category : Technology & Engineering
Total pages :164
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This book explores recent advances in blockchain technology and its impact on Industry 4.0 via advanced technologies. It provides an in-depth analysis of the step by step evolution of Industry 4.0 and blockchain technologies for creating the next-generation, secure, decentralized, distributed and trusted industry environment and enhancing the productivity of industries. The book describes how blockchain technology makes the industrial internet (Industry 4.0) a transparent, reliable and secure environment for people, processes, systems, and services, presenting a strong, technological and conceptual framework and roadmap for decision-makers involved in the transformation of any area of industry.

Digital Economy Report 2019

Digital Economy Report 2019
Author : United Nations Publications
Publisher : Unknown
Release Date : 2019-10-18
Category : Political Science
Total pages :192
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The Digital Economy Report 2019 on "Value creation and capture: Implications for developing countries" takes stock of recent trends in the global digital landscape and discusses the development and policy implications of data and digital platforms. A key feature of the evolving digital economy is the increasing role of digital data as an economic resource, together with digital platforms as new influential actors, with capacity to collect, process, analyze and monetize data. The report considers policy options for countries to help ensure that they capture a fair part of the value created in the digital economy for inclusive development. Key issues include the market impact of emerging technologies and digital platforms, the impact on smaller businesses in developing countries and the implications for infrastructure, entrepreneurship, skills, competition, data flows, data protection, taxation and other relevant policies.