Disruptive Analytics


Disruptive Analytics
DOWNLOAD eBooks

Download Disruptive Analytics PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Disruptive Analytics book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages. If the content not found or just blank you must refresh this page





Disruptive Analytics


Disruptive Analytics
DOWNLOAD eBooks

Author : Thomas W. Dinsmore
language : en
Publisher: Apress
Release Date : 2016-08-27

Disruptive Analytics written by Thomas W. Dinsmore and has been published by Apress this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-08-27 with Computers categories.


Learn all you need to know about seven key innovations disrupting business analytics today. These innovations—the open source business model, cloud analytics, the Hadoop ecosystem, Spark and in-memory analytics, streaming analytics, Deep Learning, and self-service analytics—are radically changing how businesses use data for competitive advantage. Taken together, they are disrupting the business analytics value chain, creating new opportunities. Enterprises who seize the opportunity will thrive and prosper, while others struggle and decline: disrupt or be disrupted. Disruptive Business Analytics provides strategies to profit from disruption. It shows you how to organize for insight, build and provision an open source stack, how to practice lean data warehousing, and how to assimilate disruptive innovations into an organization. Through a short history of business analytics and a detailed survey of products and services, analytics authority Thomas W. Dinsmore provides a practical explanation of the most compelling innovations available today. What You'll Learn Discover how the open source business model works and how to make it work for you See how cloud computing completely changes the economics of analytics Harness the power of Hadoop and its ecosystem Find out why Apache Spark is everywhere Discover the potential of streaming and real-time analytics Learn what Deep Learning can do and why it matters See how self-service analytics can change the way organizations do business Who This Book Is For Corporate actors at all levels of responsibility for analytics: analysts, CIOs, CTOs, strategic decision makers, managers, systems architects, technical marketers, product developers, IT personnel, and consultants.



The Influences Of Big Data Analytics


The Influences Of Big Data Analytics
DOWNLOAD eBooks

Author : Dr. Joseph Aluya, D.B.A.
language : en
Publisher: Author House
Release Date : 2014-09-05

The Influences Of Big Data Analytics written by Dr. Joseph Aluya, D.B.A. and has been published by Author House this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-09-05 with Computers categories.


The theoretical framework for this book was our ground-up theory of the Scope, Size, Speed, and Skill (4Ss) and Technological Situational Happenstances (TSHs) applied to Big data analytics. With in-depth research, we catechized the effects of the coalesced insights from big data influencing the architectures of incremental and radical business models. We discussed data inflation and the global impact of TSHs. We showed how deft leadership used insights gleaned from big data analytics to make strategic decisions. The big data syndrome led to Microsoft's acquisition of Nokia in our case study. Our study of APPLE Corporation's use of large datasets was explicitly analyzed. Leaderships' failure to incorporate those contextual elements afforded by insights gleaned from big data analytics, concomitant with the associated costs led to acute forms of irrational rationalism, groupthink, and faulty decision making. We explained the statistics used to essentially describe this paradigm shift, such as high dimensionality, incidental endogeneity, noise accumulation, spurious correlation, and computational costs. Significantly, machine learning challenged the status quo by effectively changing the existing technological landscape. To scholarly critics, how would supervised and un-supervised learning algorithms advance the trajectory of perspectives in applied knowledge under the umbrella of big data? Further, political and socio-economics tied to big data was examined. We recommended leaders should have a shared cognition on how to leverage analytics from large datasets for competitive advantages. Most significantly, leaders or managers should be cognizant of the inextricable synergies that seamlessly flow from adroitly implementing a strategy to profit from the speed, size, skill, and scope (i.e. the 4Ss) of the big data environment, conditioned by the leveraging of those transactional situational happenstances generated by increases in market volatility. We concluded the algorithmic processes of leveraging insights from big data have globally resulted in a disruption of current technological pathways.



Big Data Analytics


Big Data Analytics
DOWNLOAD eBooks

Author : Arvind Sathi
language : en
Publisher:
Release Date : 2012

Big Data Analytics written by Arvind Sathi and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012 with Computers categories.


Cover subtitle: Disruptive technologies for changing the game.



Multimedia Data Mining And Analytics


Multimedia Data Mining And Analytics
DOWNLOAD eBooks

Author : Aaron K. Baughman
language : en
Publisher: Springer
Release Date : 2015-03-31

Multimedia Data Mining And Analytics written by Aaron K. Baughman and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-03-31 with Computers categories.


This book provides fresh insights into the cutting edge of multimedia data mining, reflecting how the research focus has shifted towards networked social communities, mobile devices and sensors. The work describes how the history of multimedia data processing can be viewed as a sequence of disruptive innovations. Across the chapters, the discussion covers the practical frameworks, libraries, and open source software that enable the development of ground-breaking research into practical applications. Features: reviews how innovations in mobile, social, cognitive, cloud and organic based computing impacts upon the development of multimedia data mining; provides practical details on implementing the technology for solving real-world problems; includes chapters devoted to privacy issues in multimedia social environments and large-scale biometric data processing; covers content and concept based multimedia search and advanced algorithms for multimedia data representation, processing and visualization.



Disruptive Platforms


Disruptive Platforms
DOWNLOAD eBooks

Author : Tymoteusz Doligalski
language : en
Publisher: Routledge
Release Date : 2021-12-20

Disruptive Platforms written by Tymoteusz Doligalski and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-12-20 with Business & Economics categories.


It has taken platforms only twenty years to become digital economy hubs. They have changed markets, enterprises, and society. They have expedited communication, collaboration, and trade for consumers, winning their attention and collecting their data. In doing so, they have made processes, products, and industries obsolete, and disrupted the expectations and behaviours of market players. This raises the question, are digital platforms global innovators or disruptive monopolists? Are they a solution to problems of the past or emissaries of a problematic future? This book provides a multi-faceted approach to platforms and their profound impact on markets and ecosystems. Economic, managerial, social, and political aspects are analysed, and the differentiation of platforms and their disruptive potential is reviewed. The book also examines the mechanism of achieving a monopolistic position, including in the international supply chain, and the greater influence of platforms on political activity and contemporary democracy. With examples from Poland, USA, and China, the contributions offer an international evaluation of disruptive platforms across a multitude of industries. The edited collection, prepared by scholars from the SGH Warsaw School of Economics, will be valuable to researchers and academics across the fields of strategic management, marketing, innovations, international business, and the digital economy.



Disruptive And Emerging Technology Trends Across Education And The Workplace


Disruptive And Emerging Technology Trends Across Education And The Workplace
DOWNLOAD eBooks

Author : Delello, Julie Anne
language : en
Publisher: IGI Global
Release Date : 2020-03-06

Disruptive And Emerging Technology Trends Across Education And The Workplace written by Delello, Julie Anne and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-03-06 with Business & Economics categories.


Advancing technologies are rapidly modifying the current state of business and society causing an expansion of possible career opportunities. In order to stay competitive, institutions of education must provide an emphasis on the wide-range of skills and experiences needed to contribute to a 21st century workforce. As new technologies emerge and even disrupt, there will be a demand for new forms of education and deeper learning. Disruptive and Emerging Technology Trends Across Education and the Workplace is a collection of innovative research on the latest instructive methods being utilized in classrooms and organizations as well as the benefits and challenges of adopting these technologies. While highlighting topics including mobile learning, augmented reality, and cryptocurrencies, this book is ideally designed for developers, professionals, educators, managers, researchers, scientists, stakeholders, strategists, practitioners, and students seeking current research on new forms of educational techniques in relation to the continued application of new technologies in the workplace.



Leading In A Digitally Disruptive World


Leading In A Digitally Disruptive World
DOWNLOAD eBooks

Author : Yew Haur Lee
language : en
Publisher: World Scientific
Release Date : 2023-10-16

Leading In A Digitally Disruptive World written by Yew Haur Lee and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-10-16 with Business & Economics categories.


Digital disruptions are occurring every day in an increasingly volatile, uncertain, complex, and ambiguous business environment. Organizations need to respond to these disruptive changes and proactively develop their own disruptions for organizational transformation and growth. This book presents the market-driven forces of digital disruptions propelled by the Fourth Industrial Revolution, which has dramatically improved the efficiency of business decision-making and organizational processes.Leading in a Digitally Disruptive World discusses the accelerators of digital disruptions; the soft skills, knowledge, and competencies for digital success; the business revenue generators for digital impact; and the typology and practices of sustainability and ethics for business growth. In addition, the book covers the digital leadership challenges associated with operating in a digitally disruptive environment and provides innovative solutions on how organizations and knowledge workers can prepare themselves to reap the benefits of the digital evolution by designing, managing, and leading organizations in a future-forward manner.



Big Data Big Analytics


Big Data Big Analytics
DOWNLOAD eBooks

Author : Michael Minelli
language : en
Publisher: John Wiley & Sons
Release Date : 2013-01-22

Big Data Big Analytics written by Michael Minelli and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-01-22 with Business & Economics categories.


Unique prospective on the big data analytics phenomenon for both business and IT professionals The availability of Big Data, low-cost commodity hardware and new information management and analytics software has produced a unique moment in the history of business. The convergence of these trends means that we have the capabilities required to analyze astonishing data sets quickly and cost-effectively for the first time in history. These capabilities are neither theoretical nor trivial. They represent a genuine leap forward and a clear opportunity to realize enormous gains in terms of efficiency, productivity, revenue and profitability. The Age of Big Data is here, and these are truly revolutionary times. This timely book looks at cutting-edge companies supporting an exciting new generation of business analytics. Learn more about the trends in big data and how they are impacting the business world (Risk, Marketing, Healthcare, Financial Services, etc.) Explains this new technology and how companies can use them effectively to gather the data that they need and glean critical insights Explores relevant topics such as data privacy, data visualization, unstructured data, crowd sourcing data scientists, cloud computing for big data, and much more.



Ai And Big Data S Potential For Disruptive Innovation


Ai And Big Data S Potential For Disruptive Innovation
DOWNLOAD eBooks

Author : Strydom, Moses
language : en
Publisher: IGI Global
Release Date : 2019-09-27

Ai And Big Data S Potential For Disruptive Innovation written by Strydom, Moses and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-09-27 with Computers categories.


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.



Disruptive Possibilities How Big Data Changes Everything


Disruptive Possibilities How Big Data Changes Everything
DOWNLOAD eBooks

Author : Jeffrey Needham
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2013-05-06

Disruptive Possibilities How Big Data Changes Everything written by Jeffrey Needham and has been published by "O'Reilly Media, Inc." this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-05-06 with Computers categories.


Big data has more disruptive potential than any information technology developed in the past 40 years. As author Jeffrey Needham points out in this revealing book, big data can provide unprecedented visibility into the operational efficiency of enterprises and agencies. Disruptive Possibilities provides an historically-informed overview through a wide range of topics, from the evolution of commodity supercomputing and the simplicity of big data technology, to the ways conventional clouds differ from Hadoop analytics clouds. This relentlessly innovative form of computing will soon become standard practice for organizations of any size attempting to derive insight from the tsunami of data engulfing them. Replacing legacy silos—whether they’re infrastructure, organizational, or vendor silos—with a platform-centric perspective is just one of the big stories of big data. To reap maximum value from the myriad forms of data, organizations and vendors will have to adopt highly collaborative habits and methodologies.