Building the Internet of Things

Implement New Business Models, Disrupt Competitors, Transform Your Industry

Author: Maciej Kranz

Publisher: John Wiley & Sons

ISBN: 1119285682

Category: Business & Economics

Page: 272

View: 1961

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Connect your organization to the Internet of Things with solid strategy and a proven implementation plan Building Internet of Things provides front-line business decision makers with a practical handbook for capitalizing on this latest transformation. Focusing on the business implications of Internet of Things (IoT), this book describes the sheer impact, spread, and opportunities arising every day, and how business leaders can implement IoT today to realize tangible business advantages. The discussion delves into IoT from a business, strategy and organizational standpoint, and includes use-cases that illustrate the ripple effect that this latest disruption brings; you'll learn how to fashion a viable IoT plan that works with your organization's strategy and direction, and how to implement that strategy successfully by integrating IoT into your organization tomorrow. For business managers, the biggest question surrounding the Internet of Things is what to do with it. This book examines the way IoT is being used today—and will be used in the future—to help you craft a robust plan for your organization. Grasp the depth and breadth of the Internet of Things Create a secure IoT recipe that aligns with your company's strategy Capitalize on advances while avoiding disruption from others Leverage the technical, organizational, and social impact of IoT In the past five years, the Internet of Things has become the new frontier of technology that has everyone talking. It seems that almost every week a major vendor announces a new IoT strategy or division; is your company missing the boat? Learn where IoT fits into your organization, and how to turn disruption into profit with the expert guidance in Building the Internet of Things.
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The Era of Internet of Things

Towards a Smart World

Author: Khaled Salah Mohamed

Publisher: Springer

ISBN: 3030181332

Category: Computer science

Page: 124

View: 8376

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This book introduces readers to all the necessary components and knowledge to start being a vital part of the IoT revolution. The author discusses how to create smart-IoT solutions to help solve a variety of real problems. Coverage includes the most important aspects of IoT architecture, the various applications of IoT, and the enabling technologies for IoT. This book presents key IoT concepts and abstractions, while showcasing real case studies. The discussion also includes an analysis of IoT strengths, weaknesses, opportunities and threats. Readers will benefit from the in-depth introduction to internet of things concepts, along with discussion of IoT algorithms and architectures tradeoffs. Case studies include smart homes, smart agriculture, and smart automotive.
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Handbook of Research on Industrial Advancement in Scientific Knowledge

Author: Diaz, Vicente González-Prida,Bonilla, Jesus Pedro Zamora

Publisher: IGI Global

ISBN: 1522571531

Category: Technology & Engineering

Page: 442

View: 8314

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In a society that praises and promotes technological advancement, it becomes increasingly essential to review the effects of such rapid technological growth. New high-tech advances need to be examined to determine what they mean to science, society, and industry along with the benefits and challenges they present. The Handbook of Research on Industrial Advancement in Scientific Knowledge addresses the intersection of technology and science where engineering considerations, mathematical approaches, and management tools provide a better understanding and awareness of Industry 4.0, while also taking into account the impact on current society. This publication identifies methodologies and applications related to decision making, risk and uncertainty, and design and development not only on scientific and industrial topics but also on social and ethical matters. It is designed for engineers, entrepreneurs, academicians, researchers, managers, and students.
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Building the Hyperconnected Society

Internet of Things Research and Innovation Value Chains, Ecosystems and Markets

Author: Ovidiu Vermesan,Peter Friess,

Publisher: River Publishers

ISBN: 8793237995

Category: Computers

Page: 330

View: 9865

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This book aims to provide a broad overview of various topics of Internet of Things (IoT), ranging from research, innovation and development priorities to enabling technologies, nanoelectronics, cyber-physical systems, architecture, interoperability and industrial applications. All this is happening in a global context, building towards intelligent, interconnected decision making as an essential driver for new growth and co-competition across a wider set of markets. It is intended to be a standalone book in a series that covers the Internet of Things activities of the IERC – Internet of Things European Research Cluster from research to technological innovation, validation and deployment. 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 global views and state of the art results on the challenges facing the research, innovation, development and deployment of IoT in future years. The concept of IoT could disrupt consumer and industrial product markets generating new revenues and serving as a growth driver for semiconductor, networking equipment, and service provider end-markets globally. This will create new application and product end-markets, change the value chain of companies that creates the IoT technology and deploy it in various end sectors, while impacting the business models of semiconductor, software, device, communication and service provider stakeholders. The proliferation of intelligent devices at the edge of the network with the introduction of embedded software and app-driven hardware into manufactured devices, and the ability, through embedded software/hardware developments, to monetize those device functions and features by offering novel solutions, could generate completely new types of revenue streams. Intelligent and IoT devices leverage software, software licensing, entitlement management, and Internet connectivity in ways that address many of the societal challenges that we will face in the next decade.
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Digital DNA

Disruption and the Challenges for Global Governance

Author: Jonathan D. Aronson,Peter F. Cowhey

Publisher: Oxford University Press

ISBN: 0190657936

Category: Business & Economics

Page: 296

View: 6701

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Innovation in information and production technologies is creating benefits and disruption, profoundly altering how firms and markets perform. Digital DNA provides an in depth examination of the opportunities and challenges in the fast-changing global economy and lays out strategies that countries and the international community should embrace to promote robust growth while addressing the risks of this digital upheaval. Wisely guiding the transformation in innovation is a major challenge for global prosperity that affects everyone Peter Cowhey and Jonathan Aronson demonstrate how the digital revolution is transforming the business models of high tech industries but also of traditional agricultural, manufacturing, and service sector firms. The rapidity of change combines with the uncertainty of winners and losers to create political and economic tensions over how to adapt public policies to new technological and market surprises. The logic of the policy trade-offs confronting society, and the political economy of practical decision-making is explored through three developments: The rise of Cloud Computing and trans-border data flows; international collaboration to reduce cybersecurity risks; and the consequences of different national standards of digital privacy protection. The most appropriate global strategies will recognize that a significant diversity in individual national policies is inevitable. However, because digital technologies operate across national boundaries there is also a need for a common international baseline of policy fundamentals to facilitate "quasi-convergence" of these national policies. Cowhey and Aronson's examination of these dynamic developments lead to a measured proposal for authoritative "soft rules" that requires governments to create policies that achieve certain objectives, but leaves the specific design to national discretion. These rules should embrace mechanisms to work with expert multi-stakeholder organizations to facilitate the implementation of formal agreements, enhance their political legitimacy and technical expertise, and build flexible learning into the governance regime. The result will be greater convergence of national policies and the space for the new innovation system to flourish.
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Who Wins in a Digital World?

Strategies to Make Your Organization Fit for the Future

Author: MIT Sloan Management Review

Publisher: MIT Press

ISBN: 0262536749

Category: Business & Economics

Page: 200

View: 1530

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How organizations can adapt to a constantly changing business environment by being flexible but focused, embracing change, and moving fast. In the new digital world, the unknowns are never-ending. Our ability to embrace the demands of change has become a prerequisite for success. It's not easy. We don't work the way we did last year. Next year, it will all change again. If an organization doesn't embrace the realities of change, it will be under siege from those that do. Who Wins in a Digital World explains how organizations can adapt to a constantly changing business environment by being flexible but focused, embracing change in all its messiness, and moving fast. In articles that originally appeared in MIT Sloan Management Review, experts from business and academia discuss digital adaptability, explaining how both organizations and individuals need the ability to excel in what their roles will become as technology and their competitive ecosystem evolve. They highlight strategies and mindsets that can foster change, including boldness in the face of digitization, a focus on collaboration, and an artificial intelligence game plan. And they explore the need for speed, with one contributor declaring: “Implement first, ask questions later (or not at all).” Once an organization accepts the fact that technological change is ongoing and inevitable, it becomes more about opportunity and less about challenge. This book shows that change can be stimulating, exhilarating, and something to be welcomed. Contributors Stephen J. Andriole, Jacques Bughin, Thomas H. Davenport, Nathan Furr, Lynn J. Good, David Kiron, Edward E. Lawler III, Vikram Mahidhar, Paul Michelman, Jeanne Ross, Paul J. H. Schoemaker, Andrew Shipilov, Charles Sull, Donald Sull, Philip E. Tetlock, Stefano Turconi, Nicolas van Zeebroeck, Peter Weill, Thomas Williams, Stephanie L. Woerner, Christopher G. Worley, James Yoder
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Artificial Intelligent Travelling Behavioral Predictive Tool

Author: Johnny Ch Lok

Publisher: N.A

ISBN: 9781071337233

Category:

Page: 372

View: 1566

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So, I believe that (AI) big data gather every conclusion or result will be different, due to consumer's price and quality demand will often change to every kind of product or service supply in retail industry. So, how to shape (AI) big data gathering's analytical conclusion or result more clear. I shall recommend organizations need to build great understanding of and a stronger connection to increasingly empowered consumers before they plan and implement how to apply (AI) big data gather tool to predict consumer behavior as below: Firstly, (AI) is empowered by technology, the consumer is redefining value. The traditional measures of cost, choice and convenience are still relevant, but not control and experience are also important. Globally, consumers have access to more than 2 billion different products choice by a wide range of traditional competitors and dynamic new entrants, all experimenting with new business models and methods of client engagement. As choice increases, loyalty becomes more difficult familiarity and the consumer becomes more empowered. Businesses will have no choice and constantly innovate and disrupt themselves by meeting new technologies of high standards and expectations of consumers. So, (AI) data gather tool will need to follow different target group of consumers' needs to follow their different kinds of product design or style choice preferable to gather data in order to conclude the different target groups of consumer behavior to give opinion more clear and accurate to let businessmen to understand more clear how its customers' behavioral choice trend in the future half month, even to two years period.Secondly, businessmen need to adopt changing technologies rapidly. Technology will be the key driver of this retail industry. Industry participants will only success if they have a clear prediction to focus on how to using technology to increase the value added to consumers. They must, however, do so will I realistic assessment of their costs and benefits. Hence, (AI) big data gather technological tools will need to design to help them to gather data efficiently by these ways, such as the internet of things ( IOT), artificial intelligence (AI) machine learning, augmented reality (AR)/virtual reality (VR), digital traceability. So, future (AI) big data gather tool are predicted to be most influential customer behavioral positive emotion changing tool for retail, due to their widespread applications, ability to drive efficiencies and impact on labor in order to impact consumer behavior changing effort from negative emotion to positive.Thirdly, (AI) big data gather tool is an advanced data science of consumer behavior predictive tool. Businesses will have to bring the journey from simply collecting consumer data to using it to scale and systematize enhanced decision making across the entire value chain. When focused on their business goals, industry players should not lose sight of the impact that future capabilities and transformative business models may have on society.However, (AI) big data gather tool will encounter these challenges when any business plans and implements to apply it to predict consumer behavior in retail industry. The challenges include that as below:1.The high cost and difficulty of implementing new technologies . The (AI) big data gather tool needs capital and capabilities to be designed to implement to be applied to different retail industry users. so, expensive barriers to innovation, an organization and the skillsets of its people to support a new design of (AI) big data gather tool, highly digital technology may be required.
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