AI and Big Data’s Potential for Disruptive Innovation - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook AI and Big Data’s Potential for Disruptive Innovation write by Strydom, Moses. This book was released on 2019-09-27. AI and Big Data’s Potential for Disruptive Innovation available in PDF, EPUB and Kindle. 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.
AI and Big Data
AI and Big Data - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook AI and Big Data write by Mark Findlay. This book was released on 2023-09-06. AI and Big Data available in PDF, EPUB and Kindle. This provocative and timely book identifies and disrupts the conventional regulation and governance discourses concerning AI and big data. It suggests that, instead of being used as tools for exclusionist commercial markets, AI and big data can be employed in governing digital transformation for social good.
Cutting-Edge Business Technologies in the Big Data Era
Cutting-Edge Business Technologies in the Big Data Era - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Cutting-Edge Business Technologies in the Big Data Era write by Saad G. Yaseen. This book was released on . Cutting-Edge Business Technologies in the Big Data Era available in PDF, EPUB and Kindle.
Big Data and Artificial Intelligence in Management. Disruptive Technologies as a success factor for decision-making
Big Data and Artificial Intelligence in Management. Disruptive Technologies as a success factor for decision-making - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Big Data and Artificial Intelligence in Management. Disruptive Technologies as a success factor for decision-making write by Moritz Mayer. This book was released on 2022-04-19. Big Data and Artificial Intelligence in Management. Disruptive Technologies as a success factor for decision-making available in PDF, EPUB and Kindle. Document from the year 2019 in the subject Business economics - Business Management, Corporate Governance, , language: English, abstract: Geopolitically, economically and technologically, the world is in a state of upheaval. Technological progress is shortening innovation cycles, processes and projects in companies are steadily gaining in complexity, and the globalized economy is producing increasingly dynamic markets. In an era characterized by the networking of the real and virtual worlds, data is emerging as the resource of the future. However, the huge amounts of data, also known as Big Data, demand that they be used effectively. As a result, management must make increasingly frequent and complex decisions. However, human working time is scarce and the question arises as to whether human capacity, intelligence and creativity can still cope with the increasing demands. Could AI, using Big Data, possibly act as a success factor, in corporate decision making? Under this question, Mayer compares the decision-making of a human with that of an artificial intelligence. The focus here is primarily on the economic goal idea. What basic requirements does an AI need? What risks open up, among other things in terms of loss of control, ethics or data protection? And to what extent are the numerous visions actually realizable in practice? From the contents: - Digitization - Big Data - Artificial Intelligence - Management 4.0 - Enterprise
Disruptive Possibilities: How Big Data Changes Everything
Disruptive Possibilities: How Big Data Changes Everything - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Disruptive Possibilities: How Big Data Changes Everything write by Jeffrey Needham. This book was released on 2013-05-06. Disruptive Possibilities: How Big Data Changes Everything available in PDF, EPUB and Kindle. 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.
