Bidgoli's MIS 11 delivers a thorough introduction to MIS with the most practical and current coverage available. It presents the latest developments in cloud computing, AR/VR/MR, quantum computing, blockchain, strategic information systems, data lakes, digital citizenship, low code and no code, metaverse platforms and NFTs. Key concepts and skills within each case study and information box are tagged to the corresponding AASCB standards.

The robust MindTap digital learning experience includes Use It activities that give students immediate feedback and "You Make the Decision" interactive case studies that place them in role of decision-maker. A micro-course on SQL fundamentals gives students hands-on coding experience.

In addition, the author's daily social media posts provide updates on IS/IT applications, new developments, breaking news and IT Jobs -- bringing up-to-the-minute currency to your lectures.

The new fourth edition of Principles of Business Information Systems features new cases, new questions and assignments and the latest technologies, whilst retaining its comprehensive coverage of Information Systems issues.

It also boasts a wealth of real world examples from a broad range of countries and updated coverage of IT and technological issues, making it perfect for courses that prepare students for the modern corporate world.

The new fifth edition of Principles of Business Information Systems features new cases, new questions and assignments and the latest technologies, whilst retaining its comprehensive coverage of Information Systems issues.

It also boasts a wealth of real-world examples from a broad range of countries and updated coverage of IT and technological issues, making it perfect for courses that prepare students for the modern corporate world.

Data is a resource like oil or minerals, so who owns it is critical, especially as data is the raw material that’s powering the artificial intelligence revolution.

Sovereign AI is about much more than countries merely owning their data, it’s about control. It ensures AI aligns with their cultural, ethical, and legal frameworks. It’s about making sure AI works for people and not the other way around.

Businesses, nations, and leaders are quickly realising they need to embrace sovereign AI. This shift signifies an unprecedented move from the generation of software to the creation of intelligence. AI has already changed everything.

How we think about its ownership is going to shape everything to come.

In this groundbreaking and thought-provoking book, Mastering Sovereign Artificial Intelligence, AI expert, researcher, and speaker Dr Mark Nasila explores what sovereign AI truly means, how it differs from other AI models, and why it’s so critical to understand.

He outlines the shifting geopolitical landscape of AI and the emerging trends shaping international competition, and delves into how AI intersects with national security, the economy, and global power.

Data and AI sovereignty require countries to cultivate skilled AI workforces, build AI factories, and ensure governance and ethics are considered from the inception of any AI strategy.


Packed with insights from global industry experts, this is an essential hand-book for anyone who’s interested in AI, from individuals to business owners, policymakers, and parents concerned about what the future of work might look like.

AI is an asset like any other. So how we think about its ownership will shape the future of the world, and decide our place in it.

It is almost impossible to keep up with the pace and direction in which business and technology are moving today.

ARTIFICIAL INTELLIGENCE. AUTOMATION. BLOCKCHAIN. BIG DATA. INTERNET OF THINGS. THE FOURTH INDUSTRIAL REVOLUTION.

Who actually knows what any of these concepts mean for their business, much less how to integrate them? Things are moving at a faster pace than ever before and trying to keep up has become intimidating and overwhelming. It’s tempting to bury your head in the sand than try to make head or tail of it all. But none of the buzzwords actually matter! You don’t have to jump aboard every single change and adjustment in the market, or trade in your suit for a T-shirt, jeans and sneaker combo. If you have the right context, it’s a lot simpler to understand and use technological shifts as an opportunity to transform your business.

Tech Adjacent is about understanding the principles of tech and its pace, hearing the footsteps of where it might be going, knowing how disruption and innovation work tangibly and, most importantly, leveraging it for your individual exponential success. Innovation is contextual, so while Uber, Airbnb and Facebook are grandiose Silicon Valley success stories, they have little relevance in our own market. This book shares stories and case studies of African businesses, exposing who is getting disrupted as we speak and why, as well as how new companies are leading the next wave of growth. Mushambi Mutuma’s experience and expertise in both business and as a tech entrepreneur give real-life context to rapid change, unlocking future opportunities and offering tools to predict where your audience and industry are heading. He sells no big ideas, but genuinely shares his unique perspectives and know-how to help whoever he can in the process.

Tech Adjacent isn’t just another book on growing your business in 100 days, nor is it dry academic theory. It is the guidebook for not only surviving but excelling in a world of exponential growth. Whether you are a start-up entrepreneur or a corporate executive, this guide is a must for both present and future leaders.

Stories brought us together.

Books spread our ideas – and our mythologies.

The internet promised infinite knowledge.

The algorithm learned our secrets – and then turned us against each other.

What will AI do?

Nexus is the thrilling account of how we arrived at this moment, and the urgent choices we must now make to survive – and to thrive.

Digital Information Culture is an introduction to the cultural, social and political impact of digital information and digital resources. The book is organised around themes, rather than theories and is arranged into three sections: culture, society and the individual. Each explores key elements of the social, cultural and political impact of digital information. The culture section outlines the origins of cyber culture in fifties pulp-fiction through to the modern day. It explores the issues of information overload, the threat of a digital dark age, and the criminal underbelly of digital culture. Section two, society, explores the economic and social impact of digital information, outlining key theories of the Information Age. Section three explores the impact of digital information and digital resources on the individual, exploring the changing nature of identity in a digital world.
Written by a leading author in the fieldFocuses on digital information and its social, cultural and political impact is uniqueThe wider theoretical framework, relying less of sociology, more on cultural theory

Low cost Internet technology has transformed library services by allowing libraries to play a creative and dynamic role in the delivery of information to their users. This book helps managers, systems personnel, and graduate students understand the challenges of providing digital library services with a number disparate content providers and software systems. It also helps readers understand what libraries must do to deliver a user experience customized to the needs of individual institutions.
Familiarizes readers with general and library specific technologies required to provide digital library servicesHelps readers better understand trade offs between in-house and vendor solutionsProvides library decision makers with technology staffing guidance

Many of the technological and managerial challenges of operating in the international environment are being addressed through global IT applications at the functional level of the organization. Global Information Systems and Technology: Focus on the Organization and Its Functional Areas provides a forum for identifying the specific impacts of IT in each of these areas and for understanding how the various challenges and solutions in the functional areas are being integrated via information technology. With a total of 27 chapters, this book examines several functional areas -- marketing, financial services, accounting, manufacturing and logistics, research and development, human resources -- all within the context of today's international business enterprise.

AI is the greatest threat to our existence that we have ever faced.

The scramble to create superhuman AI has put us on the path to extinction – but it’s not too late to change course. Two pioneering researchers in the field, Eliezer Yudkowsky and Nate Soares, explain why artificial superintelligence would be a global suicide bomb and call for an immediate halt to its development.

The technology may be complex but the facts are simple: companies and countries are in a race to build machines that will be smarter than any person, and the world is devastatingly unprepared for what will come next.

Could a machine superintelligence wipe out our entire species? Would it want to? Would it want anything at all? In this urgent book, Yudkowsky and Soares explore the theory and the evidence, present one possible extinction scenario and explain what it would take for humanity to survive.

The world is racing to build something truly new – and if anyone builds it, everyone dies.

Gathering insightful and stimulating contributions from leading global experts in Artificial Intelligence in Education (AIED), this comprehensive Handbook traces the development of AIED from its early foundations in the 1970s to the present day. The Handbook evaluates the use of AI techniques such as modelling in closed and open domains, machine learning, analytics, language understanding and production to create systems aimed at helping learners, teachers, and educational administrators. Chapters examine theories of affect, metacognition and pedagogy applied in AIED systems; foundational aspects of AIED architecture, design, authoring and evaluation; and collaborative learning, the use of games and psychomotor learning. It concludes with a critical discussion of the wider context of Artificial Intelligence in Education, examining its commercialisation, social and political role, and the ethics of its systems, as well as reviewing the possible challenges and opportunities for AIED in the next 20 years. Providing a broad yet detailed account of the current field of Artificial Intelligence in Education, researchers and advanced students of education technology, innovation policy, and university management will benefit from this thought-provoking Handbook. Chapters will also be useful to support undergraduate courses in AI, computer science, and education.

Presenting innovative modelling approaches to the analysis of fiscal policy and government debt, this book moves beyond previous models that have relied upon the assumption that various age-specific rates and policy variables remain unchanged when it comes to generating government expenditures and tax revenues. As a result of population ageing, current policy settings in many countries are projected to lead to unsustainable levels of public debt; Tax Policy and Uncertainty explores models that allow for feedbacks and uncertainty to combat this. Applicable to any country, the models in the book explore the optimal timing and extent of tax changes in the face of anticipated high future debt. Chapters produce stochastic debt projections, including probability distribution of debt ratios at each point in time. It also offers important analysis of fiscal policy trade-offs as well as providing advice on when and by how much tax rates should be increased. Economics scholars focusing on fiscal policy will appreciate the improved models in this book that allow both for uncertainty and feedback effects arising from responses to increased debt. It will also be helpful to economic policy advisors and economists in government departments.

This is the only book you need to understand our new world – from the ultimate AI insider, the CEO of Microsoft AI and co-founder of the pioneering AI company DeepMind.

Soon you will live surrounded by AIs. In a world of quantum computers, robot assistants and abundant energy, they will organise your life, operate your business, and run government services.

None of us are prepared.

Mustafa Suleyman has been at the centre of this revolution. The next decade, he explains, will be defined by a wave of powerful, fast-proliferating new technologies. These will create immense prosperity but also present risks.

How do we ensure the flourishing of humankind? How do we maintain control over these technologies? And how do we find the narrow path to a successful future? In this groundbreaking book we learn how to think about the essential challenge of our age.

Be prepared. Read The Coming Wave.

In a world of relentless change and accelerating uncertainty, organizations must continuously adapt and evolve to compete in environments they never anticipated. This requires upfront design for adaptability, and closer business alignment of software systems and team structures. To succeed, organizations must integrate advanced techniques from business strategy, software architecture, and team organization. Now, independent technology consultant Susanne Kaiser introduces a powerful unified toolset you can use to design, build, and evolve adaptive software systems and teams that are optimized for ever-faster rates of change. Kaiser shows how to combine Wardley Maps, Domain-Driven Design (DDD), and Team Topologies to understand your problem domain more clearly, focus on your crucial core subdomain, and reflect the dynamics of your business landscape. Using these tools, you'll learn how to design evolvable services within an adaptive system, which is in turn owned by a team organization that optimizes for fast flow. Kaiser goes beyond Domain Driven Design's popular patterns to reveal how DDDenables strategic design for long-term business success. Her accessible explanations and practical examples show how to combine DDD with intuitive Wardley Maps and powerful Team Topologies to improve success across the full lifecycle: strategy, design, implementation, deployment, operation, and evolution. As she demystifies and demonstrates these tools, Kaiser answers the most important questions faced by project participants—from CxOs to architects to software developers.

Is competition law able to deal with algorithmic collusion? This evaluative book provides an insight into tackling this important question for competition law, with contrasting critical perspectives, including theoretical, empirical, and doctrinal – the latter frequently from a comparative perspective. Bringing together scholarly discussion on algorithmic collusion, the book questions whether competition law is adeptly equipped to deal with its various facets. With a comprehensive overview of the recent literature on algorithmic collusion, chapters offer a critical appraisal of the effectiveness of competition law to deal with algorithmic collusion. Covering a unique collection of legal, theoretical, and experimental case studies, it initiates debate among legal scholars for a better understanding of the data upon which algorithms decide prices. With a comparative identification of both the potentialities and limitations of competition law in relation to algorithmic collusion, this book will be of key value to students and scholars of competition law, economics and finance. It will also be an invaluable resource for legal practitioners and policy makers in the field.

Today’s tech platforms are some of history's most advanced tools for extracting as much as possible – data, attention, profit-margins – from everyone else. As they become essential, we are at risk of building an economy that is perpetually unfair for much of humanity.

Places and spaces where people can exchange information and goods have been at the heart of every economy and every civilization in history, but today’s global platforms - as provided by Amazon, Google, Apple, Meta and others - are different: instead of providing value they extract it, creating vast disparities in wealth and power between the haves and have-nots. For the first time in history, we have the ability to create sustainable prosperity for all, but currently that wealth is concentrated in a tiny number of hands. It isn't abundance that's the problem; it is distribution.

In this brilliantly engaging, frequently surprising account, Tim Wu, one of the world’s foremost experts on anti-monopoly law, draws on fascinating case studies in the history of technology's explosive rise to demonstrate emphatically that breaking monopolies will ultimately unleash creativity and growth - and reduce the vast inequality that inevitably leads to social upheaval and political chaos. Wu also sets out an alternative blueprint that preserves the economic flourishing that platforms catalyze, allowing tech platforms to play a major role in creating and sustaining an economic model of prosperity not just for the few but for the many.

Autonomous systems are on the frontiers of Artificial Intelligence (AI) research, and they are slowly finding their business applications. Driven mostly by Reinforcement Learning (RL) methods (one of the most difficult, but also the most promising modern AI algorithms), autonomous systems help create self-learning and self-optimising systems, ranging from simple game-playing agents to robots able to efficiently act in completely new environments. Based on in-depth study of more than 100 projects, Andrzej Wodecki explores RL as a key component of modern digital technologies, its real-life applications to activities in a value chain and the ways in which it impacts different industries. Artificial Intelligence in Management will help project leaders, decision makers and investors evaluate new autonomous projects and will serve as an inspiring guide for future research.

A deeply reported business history of the chip-designer Nvidia—from its founding in 1993 to its recent emergence as one of the most valuable corporations in the world—explaining how the company’s culture, overseen by co-founder and CEO Jensen Huang, has powered its incredible success

Nvidia is the darling of the age of artificial intelligence: its chips are powering the generative-AI revolution, and demand is insatiable. For all the current interest and attention, however, Nvidia is not of our time. Founded more than three decades ago in a diner in California, for years it was known primarily in the then-niche world of computer gaming. In fact, the company’s leather-jacketed leader, Jensen Huang, is the longest-serving CEO in an industry marked by near constant turmoil and failure.

In The Nvidia Way, acclaimed tech writer Tae Kim draws on more than one hundred interviews—including Jensen (as he is known) and his co-founders, the two original venture capital investors, early former employees and current senior executives—to show how Nvidia played the longest of long games, repeatedly creating new markets and out-manoeuvring competitors, including the original semiconductor giant, Intel, which now finds itself well behind the upstart. Kim offers revelations at every step, among them:

—An authoritative, myth-busting account of Nvidia’s founding in 1993

—How Nvidia managed to overcome early missteps that would have killed most start-ups

—The benefits of Nvidia’s flat organisational structure, which allows even low-level employees to contribute to the direction of the company

—How Jensen’s obsession with solving the Innovator’s Dilemma—the problem of an entrenched market leader falling to smaller, nimbler companies—drove him to reinvent his approach to corporate strategy

—How Nvidia saw the coming AI wave sooner than anyone else, and how it bet its future on a technology that had not yet arrived

A rare view into Nvidia's distinct culture and Jensen's management principles, The Nvidia Way is a book for our moment as well as an instant classic of business history, with enduring lessons for entrepreneurs and managers alike.

Drawing on the theoretical debates, practical applications, and sectoral approaches in the field, this ground-breaking Handbook unpacks the political and regulatory developments in AI and big data governance. Covering the political implications of big data and AI on international relations, as well as emerging initiatives for legal regulation, it provides an accessible overview of ongoing data science discourses in politics, law and governance. With novel insights into existing and emerging debates, this cutting-edge Handbook highlights the mutual effects of big data and AI on society. Amongst other theoretical and sectoral issues, chapters analyse the liability of AI use in autonomous weapons, the role of big data in healthcare and education, the intersections between AI and gender in human rights law, and the ethics of public facial-recognition technology. Addressing the many open questions and future regulatory problems, it uses data science to investigate the dynamics between the technical aspects, societal dynamics and governance implications of big data and AI. Transdisciplinary in scope, this Handbook will be invaluable to students and researchers across the fields of politics, law, governance and data science, alongside policymakers concerned with the regulation and governance of AI and big data in public and private institutions.

This handbook covers the essential subject areas of cutaneous biometrics, including acne, aging, genetics, eczema, psoriasis, atopic dermatitis, rosacea, wound healing, and more. Erythema of rosacea and the risk of skin ulceration associated with oral nicorandil therapy are covered in detail. Various areas of acne are addressed, including acne severity grading, the assessment of general health and quality of life in patients with acne, and the effect of automated online counseling on clinical outcomes and quality of life among adolescents with acne vulgaris. Other topics include the development and validation of a clinical scale for the evaluation of forearm skin photoaging and a scoring system for mucosal disease severity. This is an ideal reference for biomedical engineering researchers and clinicians working in the field of dermatology interested in a deeper understanding of cutaneous biometrics and how it can be applied to their work. This book also:  Broadens reader understanding of the importance of creating meaningful dermatological patient outcome measurements and the use of the physician global assessment in a clinical setting to measure and track patient outcomes Details the guidelines on the measurement of ultraviolet radiation levels in ultraviolet phototherapy 

In this timely collection, gender, sex, and technology are explored through an intersectional and interdisciplinary lens. Gender, Sex, and Tech! provides insight into the ways that technology affects, and is affected by, cultural perceptions of gender and sex. Through an examination of a range of past and present issues, the text highlights our relationships to technology and illustrates how gendered relations are shaped and transformed through social and technological innovations.Contributors bring to the fore feminist, decolonizing, and anti-racist methods to examine our everyday uses of technology, from the mundane to the surreal to the playful to the devastating. Original research and scholarship is skillfully grounded in real-world scenarios like revenge pornography, gender bias in artificial intelligence, menstrual tracking, online dating, and the COVID-19 pandemic, inviting students to take a closer look at technological transformations and their impact on gendered lived experience and to consider how the benefits of technology are inequitably shared within society. Centring Canadian scholars and Canadian perspectives without losing sight of the broader global connection, Gender, Sex, and Tech! is bursting with timely and of-the-moment content, making this collection a must-read for courses focused on gender and technology.

Artificial Intelligence in the Age of Neural Networks and Brain Computing, Second Edition demonstrates that present disruptive implications and applications of AI is a development of the unique attributes of neural networks, mainly machine learning, distributed architectures, massive parallel processing, black-box inference, intrinsic nonlinearity, and smart autonomous search engines. The book covers the major basic ideas of "brain-like computing" behind AI, provides a framework to deep learning, and launches novel and intriguing paradigms as possible future alternatives. The present success of AI-based commercial products proposed by top industry leaders, such as Google, IBM, Microsoft, Intel, and Amazon, can be interpreted using the perspective presented in this book by viewing the co-existence of a successful synergism among what is referred to as computational intelligence, natural intelligence, brain computing, and neural engineering. The new edition has been updated to include major new advances in the field, including many new chapters.