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: 427
Release: 2019-09-27
Genre: Computers
ISBN: 1522596895

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

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.

Artificial Intelligence

Artificial Intelligence
Author: Harvard Business Review
Publisher: HBR Insights
Total Pages: 160
Release: 2019
Genre: Business & Economics
ISBN: 9781633697898

Companies that don't use AI to their advantage will soon be left behind. Artificial intelligence and machine learning will drive a massive reshaping of the economy and society. What should you and your company be doing right now to ensure that your business is poised for success? These articles by AI experts and consultants will help you understand today's essential thinking on what AI is capable of now, how to adopt it in your organization, and how the technology is likely to evolve in the near future. Artificial Intelligence: The Insights You Need from Harvard Business Review will help you spearhead important conversations, get going on the right AI initiatives for your company, and capitalize on the opportunity of the machine intelligence revolution. Catch up on current topics and deepen your understanding of them with the Insights You Need series from Harvard Business Review. Featuring some of HBR's best and most recent thinking, Insights You Need titles are both a primer on today's most pressing issues and an extension of the conversation, with interesting research, interviews, case studies, and practical ideas to help you explore how a particular issue will impact your company and what it will mean for you and your business.

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:

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: 2024-07-10
Genre: Science
ISBN: 0323956173

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

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

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.

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

"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.

AI Techniques for Reliability Prediction for Electronic Components

AI Techniques for Reliability Prediction for Electronic Components
Author: Bhargava, Cherry
Publisher: IGI Global
Total Pages: 330
Release: 2019-12-06
Genre: Computers
ISBN: 1799814661

In the industry of manufacturing and design, one major constraint has been enhancing operating performance using less time. As technology continues to advance, manufacturers are looking for better methods in predicting the condition and residual lifetime of electronic devices in order to save repair costs and their reputation. Intelligent systems are a solution for predicting the reliability of these components; however, there is a lack of research on the advancements of this smart technology within the manufacturing industry. AI Techniques for Reliability Prediction for Electronic Components provides emerging research exploring the theoretical and practical aspects of prediction methods using artificial intelligence and machine learning in the manufacturing field. Featuring coverage on a broad range of topics such as data collection, fault tolerance, and health prognostics, this book is ideally designed for reliability engineers, electronic engineers, researchers, scientists, students, and faculty members seeking current research on the advancement of reliability analysis using AI.

Next-Generation Applications and Implementations of Gamification Systems

Next-Generation Applications and Implementations of Gamification Systems
Author: Portela, Filipe
Publisher: IGI Global
Total Pages: 281
Release: 2021-10-22
Genre: Computers
ISBN: 1799880915

Gamification is being used everywhere; despite its apparent plethora of benefits, the unbalanced use of its main mechanics can end up in catastrophic results for a company or institution. Currently, there is a lack of knowledge of what it is, leading to its unregulated and ad hoc use without any prior planning. This unbalanced use prejudices the achievement of the initial goals and impairs the user's evolution, bringing potential negative reflections. Currently, there are few specifications and modeling languages that allow the creation of a system of rules to serve as the basis for a gamification engine. Consequently, programmers implement gamification in a variety of ways, undermining any attempt at reuse and negatively affecting interoperability. Next-Generation Applications and Implementations of Gamification Systems synthesizes all the trends, best practices, methodologies, languages, and tools that are used to implement gamification. It also discusses how to put gamification in action by linking academic and informatics researchers with professionals who use gamification in their daily work to disseminate and exchange the knowledge, information, and technology provided by the international communities in the area of gamification throughout the 21st century. Covering topics such as applied and cloud gamification, chatbots, deep learning, and certifications and frameworks, this book is ideal for programmers, computer scientists, software engineers, practitioners of technological companies, managers, academicians, researchers, and students.