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Data Driven Approach Towards Disruptive Technologies

Data Driven Approach Towards Disruptive Technologies
Author: T P Singh
Publisher: Springer Nature
Total Pages: 597
Release: 2021-04-06
Genre: Technology & Engineering
ISBN: 9811598738

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This book is a compilation of peer-reviewed papers presented at the International Conference on Machine Intelligence and Data Science Applications, organized by the School of Computer Science, University of Petroleum & Energy Studies, Dehradun, India, during 4–5 September 2020. The book addresses the algorithmic aspect of machine intelligence which includes the framework and optimization of various states of algorithms. Variety of papers related to wide applications in various fields like data-driven industrial IoT, bioinformatics, network and security, autonomous computing and various other aligned areas. The book concludes with interdisciplinary applications like legal, health care, smart society, cyber-physical system and smart agriculture. All papers have been carefully reviewed. The book is of interest to computer science engineers, lecturers/researchers in machine intelligence discipline and engineering graduates.


Disruptive Technologies

Disruptive Technologies
Author: Paul Armstrong
Publisher: Kogan Page Publishers
Total Pages: 217
Release: 2017-05-03
Genre: Business & Economics
ISBN: 0749477296

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Disruptive Technologies outlines the steps businesses can take to engage with emerging technologies today in order to serve the consumer of tomorrow. This book offers the knowledge and tools to engage confidently with emerging technologies for better business. This highly practical book offers organizations a distinct response to emerging technologies including Blockchain (Bitcoin), artificial intelligence, graphene and nanotechnology (among others) and other external factors (such as the sharing economy, mobile penetration, millennial workforce, ageing populations) that impact on their business, client service and product model. Disruptive Technologies provides a clear roadmap to assess, respond to and problem-solve: what are the upcoming changes in technology, roughly when to respond, and what's the best response? By using a quick-to-master evaluation and decision-making framework - structured around the key dimensions of Technology, Behaviour and Data (TBD). Emerging technologies guru Paul Armstrong offers a clear guide to the key disruptive technologies and a toolbox of frameworks, checklists, and activities to evaluate their possibilities. Disruptive Technologies enables forecasting of potential scenarios, implementation of plans, alternative strategies and the ability to handle change more effectively within an organization. The essential tool for all professionals who need to get to grips with emerging technologies fast and strategically.


New Horizons for a Data-Driven Economy

New Horizons for a Data-Driven Economy
Author: José María Cavanillas
Publisher: Springer
Total Pages: 303
Release: 2016-04-04
Genre: Computers
ISBN: 3319215698

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In this book readers will find technological discussions on the existing and emerging technologies across the different stages of the big data value chain. They will learn about legal aspects of big data, the social impact, and about education needs and requirements. And they will discover the business perspective and how big data technology can be exploited to deliver value within different sectors of the economy. The book is structured in four parts: Part I “The Big Data Opportunity” explores the value potential of big data with a particular focus on the European context. It also describes the legal, business and social dimensions that need to be addressed, and briefly introduces the European Commission’s BIG project. Part II “The Big Data Value Chain” details the complete big data lifecycle from a technical point of view, ranging from data acquisition, analysis, curation and storage, to data usage and exploitation. Next, Part III “Usage and Exploitation of Big Data” illustrates the value creation possibilities of big data applications in various sectors, including industry, healthcare, finance, energy, media and public services. Finally, Part IV “A Roadmap for Big Data Research” identifies and prioritizes the cross-sectorial requirements for big data research, and outlines the most urgent and challenging technological, economic, political and societal issues for big data in Europe. This compendium summarizes more than two years of work performed by a leading group of major European research centers and industries in the context of the BIG project. It brings together research findings, forecasts and estimates related to this challenging technological context that is becoming the major axis of the new digitally transformed business environment.


Data-Driven Innovation

Data-Driven Innovation
Author: Michael Moesgaard Andersen
Publisher: Routledge
Total Pages: 117
Release: 2021-03-02
Genre: Business & Economics
ISBN: 100032916X

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Today, innovation does not just occur in large and incumbent R&D organizations. Instead, it often emerges from the start-up community. In the new innovation economy, the key is to quickly find pieces of innovation, some of which may already be developed. Therefore, there is the need for more advanced means of searching and identifying innovation wherever it may occurs. We point to the importance of data-driven innovation based on digital platforms, as their footprints are growing rapidly and in sync with the shift from analogue to digital innovation workflows. This book offers companies insights on paths to business success and tools that will help them find the right route through the various options when it comes to the digital platforms where innovations may be discovered and from which value may be appropriated. The world hungers for growth and one of the most important vehicles for growth is innovation. In light of the new digital platforms from which data-driven innovation can be extracted, major parts of analogue workflows will be substituted with digital workflows. Data-driven innovation and digital innovation workflows are here to stay. Are you?


Handbook of Research on Lifestyle Sustainability and Management Solutions Using AI, Big Data Analytics, and Visualization

Handbook of Research on Lifestyle Sustainability and Management Solutions Using AI, Big Data Analytics, and Visualization
Author: Iyer, Sailesh Suryanarayan
Publisher: IGI Global
Total Pages: 411
Release: 2021-12-24
Genre: Technology & Engineering
ISBN: 179988788X

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The sudden outbreak of the COVID-19 pandemic has curbed human lifestyle by imposing restrictions on regular daily movements that had been taken for granted. Due to the pandemic, the welfare segment has received more attention, and every possible effort is being made to prioritize the services at the top. This can be made possible while using the latest tools, technologies, and resources that impact the human culture and welfare of well-being. Novel methods and devices that make the welfare services more efficient, adaptive, transparent, and cost-effective need to be explored. The Handbook of Research on Lifestyle Sustainability and Management Solutions Using AI, Big Data Analytics, and Visualization offers extensive research on lifestyle management and services that contribute towards indication, detection, conduction, protection, and technological enhancement including machine learning, deep learning, artificial intelligence, big data analytics, and visualization. It also provides mechanisms that can improve lifestyle monitoring and help in increasing the immunity of the human body. Covering topics such as big data, robot therapy, and wearable technology, it is ideal for students, researchers, technologists, IT specialists, computer engineers, systems engineers, data scientists, doctors, hospital administrators, engineers, academicians, and technology providers.


Networking Technologies in Smart Healthcare

Networking Technologies in Smart Healthcare
Author: Pooja Singh
Publisher: CRC Press
Total Pages: 398
Release: 2022-12-20
Genre: Technology & Engineering
ISBN: 1000798798

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This text provides novel smart network systems, wireless telecommunications infrastructures, and computing capabilities to help healthcare systems using computing techniques like IoT, cloud computing, machine and deep learning Big Data along with smart wireless networks. It discusses important topics, including robotics manipulation and analysis in smart healthcare industries, smart telemedicine framework using machine learning and deep learning, role of UAV and drones in smart hospitals, virtual reality based on 5G/6G and augmented reality in healthcare systems, data privacy and security, nanomedicine, and cloud-based artificial intelligence in healthcare systems. The book: • Discusses intelligent computing through IoT and Big Data in secure and smart healthcare systems. • Covers algorithms, including deterministic algorithms, randomized algorithms, iterative algorithms, and recursive algorithms. • Discusses remote sensing devices in hospitals and local health facilities for patient evaluation and care. • Covers wearable technology applications such as weight control and physical activity tracking for disease prevention and smart healthcare. This book will be useful for senior undergraduate, graduate students, and academic researchers in areas such as electrical engineering, electronics and communication engineering, computer science, and information technology. Discussing concepts of smart networks, advanced wireless communication, and technologies in setting up smart healthcare services, this text will be useful for senior undergraduate, graduate students, and academic researchers in areas such as electrical engineering, electronics and communication engineering, computer science, and information technology. It covers internet of things (IoT) implementation and challenges in healthcare industries, wireless network, and communication-based optimization algorithms for smart healthcare devices.


AI and Big Data’s Potential for Disruptive Innovation

AI and Big Data’s Potential for Disruptive Innovation
Author: Strydom, Moses
Publisher: IGI Global
Total Pages: 405
Release: 2019-09-27
Genre: Computers
ISBN: 1522596895

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Big data and artificial intelligence (AI) are at the forefront of technological advances that represent a potential transformational mega-trend—a new multipolar and innovative disruption. These technologies, and their associated management paradigm, are already rapidly impacting many industries and occupations, but in some sectors, the change is just beginning. Innovating ahead of emerging technologies is the new imperative for any organization that aspires to succeed in the next decade. Faced with the power of this AI movement, it is imperative to understand the dynamics and new codes required by the disruption and to adapt accordingly. AI and Big Data’s Potential for Disruptive Innovation provides emerging research exploring the theoretical and practical aspects of successfully implementing new and innovative technologies in a variety of sectors including business, transportation, and healthcare. Featuring coverage on a broad range of topics such as semantic mapping, ethics in AI, and big data governance, this book is ideally designed for IT specialists, industry professionals, managers, executives, researchers, scientists, and engineers seeking current research on the production of new and innovative mechanization and its disruptions.


The Organisation of Tomorrow

The Organisation of Tomorrow
Author: Mark Van Rijmenam
Publisher: Routledge
Total Pages: 169
Release: 2019-07-19
Genre: Business & Economics
ISBN: 1000007677

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The Organisation of Tomorrow presents a new model of doing business and explains how big data analytics, blockchain and artificial intelligence force us to rethink existing business models and develop organisations that will be ready for human-machine interactions. It also asks us to consider the impacts of these emerging information technologies on people and society. Big data analytics empowers consumers and employees. This can result in an open strategy and a better understanding of the changing environment. Blockchain enables peer-to-peer collaboration and trustless interactions governed by cryptography and smart contracts. Meanwhile, artificial intelligence allows for new and different levels of intensity and involvement among human and artificial actors. With that, new modes of organising are emerging: where technology facilitates collaboration between stakeholders; and where human-to-human interactions are increasingly replaced with human-to-machine and even machine-to-machine interactions. This book offers dozens of examples of industry leaders such as Walmart, Telstra, Alibaba, Microsoft and T-Mobile, before presenting the D2 + A2 model – a new model to help organisations datafy their business, distribute their data, analyse it for insights and automate processes and customer touchpoints to be ready for the data-driven and exponentially-changing society that is upon us This book offers governments, professional services, manufacturing, finance, retail and other industries a clear approach for how to develop products and services that are ready for the twenty-first century. It is a must-read for every organisation that wants to remain competitive in our fast-changing world.


Disruptive Technologies: The Convergence of New Paradigms in Architecture

Disruptive Technologies: The Convergence of New Paradigms in Architecture
Author: Philippe Morel
Publisher: Springer Nature
Total Pages: 204
Release: 2023-05-02
Genre: Computers
ISBN: 3031141601

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Through a series of highly speculative contributions by both leading and highly acclaimed practitioners and theorists, this book gives a new comprehensive overview of architectures’ most recent practical and theoretical developments. While a few chapters are mostly dedicated to a historical analysis of how we got to experience a new technological reality in architecture and beyond, all chapters including the most forward looking, have in common their rigorous understanding of history as a pool of radical experiments, whether one speaks of the history of architecture, or of sociology, technology, and science. Disruptive Technologies: The Convergence of New Paradigms in Architecture is required reading for anybody student, practitioner, and educator who wants to do serious research in architecture and all disciplines dealing with the shaping of our environment, beyond the important but restricted domain of computational architectural design. Additional multimedia content via app: download the SN More Media app for free, scan a link with play button and access to the Additional Contents directly on your smartphone or tablet.


Artificial Intelligence for Smart Technology in the Hospitality and Tourism Industry

Artificial Intelligence for Smart Technology in the Hospitality and Tourism Industry
Author: Vinod Kumar Shukla
Publisher: CRC Press
Total Pages: 328
Release: 2024-07-05
Genre: Business & Economics
ISBN: 1000935280

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This informative volume on the shifting requirements of the hospitality service industry aims to incorporate smart information technology into tourism services. A resource written specifically for tourism service industry professionals, it provides a focused approach to introducing Industry 4.0-related technologies. It explains how artificial intelligence can support a company’s strategy to revolutionize the business by using smart technology most effectively. The chapters explore artificial intelligence, Internet of Things, big data, blockchain, and automation and robotics in the hospitality industry.