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.

AI and Big Data

AI and Big Data
Author: Mark Findlay
Publisher: Edward Elgar Publishing
Total Pages: 155
Release: 2023-09-06
Genre: Computers
ISBN: 1802209522
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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.

The Future of Disruptive Technologies

The Future of Disruptive Technologies
Author: Dr Srikanth Gaddam
Publisher:
Total Pages: 160
Release: 2020-11-20
Genre:
ISBN:
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Embracing Disruptive Technology & Leveraging Each for Career Development is Possible - If You Keep Reading!When Dr. Srikanth Gaddam's 15-year-old son broached the possibilities of landing a high-paying programming job without a college degree, he had to pause and reflect. After all, "even Bill Gates or Steve Jobs did not complete college but became billionaires."On the one hand, society has conditioned us that college is the ultimate mark of success. On the other, it takes 10,000 hours to master anything if you're truly keen.This spurred author, angel investor, and seasoned entrepreneur Dr. Srikanth Gaddam to gather insights on the best technologies for people, young and old, to begin to study and master - whether or not they decide to undergo formal education.With the aim to educate and encourage every reader to adopt disruptive technologies, as well as to understand their impact on the future of businesses and societies, "The Future Of Disruptive Technologies" was born.Throughout this insightful book, readers will: -Learn how Cloud Computing is used to innovate in cheaper and faster ways-Find out why Big Data is the new "oil" - the new raw material for businesses-Understand how futures are reinvented with Artificial Intelligence (AI)-Educate themselves on why Data Privacy must be a priority in Cybersecurity-Immerse themselves in all the new ways people behave and interact with machines-Discover a world where dreams become reality - virtual and augmented realities-Find out how 5G networks are transforming lives at high speed-And so much more!With so many different technologies to choose from, it's easy to become overwhelmed.In "The Future Of Disruptive Technologies", any young adult or professional in their mid-careers stuck with old technologies can take the first step to grasp both the present and future impacts of technology... and how to leverage each.Scroll up, Click on "Buy Now with 1-Click", and Grab a Copy Today!

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
Author: Moritz Mayer
Publisher: GRIN Verlag
Total Pages: 74
Release: 2022-04-19
Genre: Business & Economics
ISBN: 3346628779
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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

Competing in the Age of AI

Competing in the Age of AI
Author: Marco Iansiti
Publisher: Harvard Business Press
Total Pages: 175
Release: 2020-01-07
Genre: Business & Economics
ISBN: 1633697630
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"a provocative new book" — The New York Times AI-centric organizations exhibit a new operating architecture, redefining how they create, capture, share, and deliver value. Now with a new preface that explores how the coronavirus crisis compelled organizations such as Massachusetts General Hospital, Verizon, and IKEA to transform themselves with remarkable speed, Marco Iansiti and Karim R. Lakhani show how reinventing the firm around data, analytics, and AI removes traditional constraints on scale, scope, and learning that have restricted business growth for hundreds of years. From Airbnb to Ant Financial, Microsoft to Amazon, research shows how AI-driven processes are vastly more scalable than traditional processes, allow massive scope increase, enabling companies to straddle industry boundaries, and create powerful opportunities for learning—to drive ever more accurate, complex, and sophisticated predictions. When traditional operating constraints are removed, strategy becomes a whole new game, one whose rules and likely outcomes this book will make clear. Iansiti and Lakhani: Present a framework for rethinking business and operating models Explain how "collisions" between AI-driven/digital and traditional/analog firms are reshaping competition, altering the structure of our economy, and forcing traditional companies to rearchitect their operating models Explain the opportunities and risks created by digital firms Describe the new challenges and responsibilities for the leaders of both digital and traditional firms Packed with examples—including many from the most powerful and innovative global, AI-driven competitors—and based on research in hundreds of firms across many sectors, this is your essential guide for rethinking how your firm competes and operates in the era of AI.

Digital Technologies, Ethics, and Decentralization in the Digital Era

Digital Technologies, Ethics, and Decentralization in the Digital Era
Author: Verma, Balraj
Publisher: IGI Global
Total Pages: 383
Release: 2024-02-08
Genre: Computers
ISBN:
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Digital disintermediation, or the elimination of “middle-men” in a traditional market setting, has had profound effects on global economies. The rise of peer-to-peer networks and decentralized marketplaces has also led to some market destabilization, and the discussion on data sovereignty and privacy challenges raises concerns surrounding business in the digital age. Digital Technologies, Ethics, and Decentralization in the Digital Era is a research-based book which boldly tackles a myriad of ethical dilemmas, including bias, privacy, and inclusivity, and advocates for a future where digital access is fair and equitable. Academic scholars and industry professionals will embark on an enlightening journey through the digital revolution's transformative power. This book delves into the very core of digital technologies, shedding light on their role as catalysts for decentralization and de-globalization. Readers will gain invaluable insights into how these technologies disrupt established systems, paving the way for innovative alternatives. The exploration of blockchain and decentralized finance shines a light on how individuals and communities can harness technology to empower themselves, reshaping the dynamics of power in an increasingly interconnected world.

Vegetation Dynamics and Crop Stress

Vegetation Dynamics and Crop Stress
Author: Dipanwita Dutta
Publisher: Elsevier
Total Pages: 317
Release: 2024-07-26
Genre: Science
ISBN: 0323956173
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Vegetation Dynamics and Crop Stress: An Earth-Observation Perspective focuses on vegetation dynamics and crop stress at both the regional and country levels by using earth observation (EO) data sets. The book uniquely provides a better understanding of natural vegetation and crop failure through geo-spatial technologies. This book covers biophysical control of vegetation, deforestation, desertification, drought, and crop-water efficiency, as well as the application of satellite-derived measures from optical, thermal, and microwave domains for monitoring and modeling crop condition, agricultural drought, and crop health in contrasting monsoon/weather episodes. Provides a quantitative analysis of vegetation and crop stress based on EO datasets Offers descriptions of the spatially explicit vegetation and crop model development, implementation, and validation Covers the impact of soil-water stress on crop performance and vegetation response to climate change using earth observation techniques

Research Anthology on Artificial Neural Network Applications

Research Anthology on Artificial Neural Network Applications
Author: Management Association, Information Resources
Publisher: IGI Global
Total Pages: 1575
Release: 2021-07-16
Genre: Computers
ISBN: 1668424096
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Artificial neural networks (ANNs) present many benefits in analyzing complex data in a proficient manner. As an effective and efficient problem-solving method, ANNs are incredibly useful in many different fields. From education to medicine and banking to engineering, artificial neural networks are a growing phenomenon as more realize the plethora of uses and benefits they provide. Due to their complexity, it is vital for researchers to understand ANN capabilities in various fields. The Research Anthology on Artificial Neural Network Applications covers critical topics related to artificial neural networks and their multitude of applications in a number of diverse areas including medicine, finance, operations research, business, social media, security, and more. Covering everything from the applications and uses of artificial neural networks to deep learning and non-linear problems, this book is ideal for computer scientists, IT specialists, data scientists, technologists, business owners, engineers, government agencies, researchers, academicians, and students, as well as anyone who is interested in learning more about how artificial neural networks can be used across a wide range of fields.

Deep Learning for Medical Decision Support Systems

Deep Learning for Medical Decision Support Systems
Author: Utku Kose
Publisher: Springer Nature
Total Pages: 185
Release: 2020-06-17
Genre: Technology & Engineering
ISBN: 981156325X
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This book explores various applications of deep learning-oriented diagnosis leading to decision support, while also outlining the future face of medical decision support systems. Artificial intelligence has now become a ubiquitous aspect of modern life, and especially machine learning enjoysgreat popularity, since it offers techniques that are capable of learning from samples to solve newly encountered cases. Today, a recent form of machine learning, deep learning, is being widely used with large, complex quantities of data, because today’s problems require detailed analyses of more data. This is critical, especially in fields such as medicine. Accordingly, the objective of this book is to provide the essentials of and highlight recent applications of deep learning architectures for medical decision support systems. The target audience includes scientists, experts, MSc and PhD students, postdocs, and any readers interested in the subjectsdiscussed. The book canbe used as a reference work to support courses on artificial intelligence, machine/deep learning, medical and biomedicaleducation.