Ai And Big Data S Potential For Disruptive Innovation

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.

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!

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.

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.

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.

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.

In terms of healthcare, in both the People’s Republic of China and the United States there have been dramatic changes within the past 60 years. The PRC has evolved to be a superpower and a major player in the international healthcare development arena whereas the USA has struggled to maintain its image as a major builder of soft diplomacy. When it comes to delivering healthcare, Africa is a continent with many developing countries with individualized needs that calls for individualized healthcare plans, and both the PRC and USA have struggled with this relationship. The PRC on one hand has had social conflict with the average African, which has been detrimental to relations, the USA on the other hand, has reduced international development funds and has been in a healthcare crisis of its own. Due to these changes, Africa has essentially become the last battleground for soft power with healthcare being the measuring tool. Transitioning Healthcare Support in Developing Countries From the US to China: Emerging Research and Opportunities explores the history of healthcare in Africa from the 1960s to the COVID-19 (Coronavirus) Pandemic in 2020. This book examines the relationship between the People’s Republic of China (PRC) and the United States of America (USA) in providing healthcare services to Africa and documents the struggles and areas of both success and failure in doing so. The chapters cover issues such as racism in PRC residing in Africa and the USA’s struggle with coronavirus. This book is ideal for government officials, medical personnel, policymakers, international agencies, practitioners, stakeholders, researchers, academicians, and students interested in the relations and healthcare delivery between both the USA and PRC to Africa.

Diversity in user queries makes it challenging for search engines to effectively return a set of relevant results. Both user intentions to search the web and types of queries are vastly varied; consequently, horizontal and vertical search engines are developed to answer user queries more efficiently. However, these search engines present a variety of problems in web searching. Result Page Generation for Web Searching: Emerging Research and Opportunities is an essential reference publication that focuses on taking advantages from text and web mining in order to address the issues of recommendation and visualization in web searching. Highlighting a wide range of topics such as navigational searching, resource identification, and ambiguous queries, this book is ideally designed for computer engineers, web designers, programmers, academicians, researchers, and students.