Artificial Intelligence for Sustainable Value Creation provides a detailed and insightful exploration of both the possibilities and the challenges that accompany widespread Artificial Intelligence. Providing a cutting edge analysis of the impact of AI in business and society, the editors offer an opportunity to assess what is known about managing other forms of information systems, strategy, and marketing, and to re-examine this knowledge in situations involving AI. This comprehensive book explores how human- centric AI systems create value inside organizations, distinguishing three main components: ethical value, societal value, and business value. Using a multidisciplinary perspective, this discerning book addresses the interests of a wide spectrum of practitioners, students, and researchers alike who are interested in identifying the value generated by AI systems in management.

The modern business world faces many new challenges in preserving its confidentiality and data from online attackers. Further, it also faces a struggle with preventing fraud. These challenges threaten businesses internally and externally and can cause huge losses. It is essential for business leaders to be up to date on the current fraud prevention, confidentiality, and data security to protect their businesses. Fraud Prevention, Confidentiality, and Data Security for Modern Businesses provides examples and research on the security challenges, practices, and blueprints for today's data storage and analysis systems to protect against current and emerging attackers in the modern business world. It includes the organizational, strategic, and technological depth to design modern data security practices within any organization. Covering topics such as confidential communication, information security management, and social engineering, this premier reference source is an indispensable resource for business executives and leaders, entrepreneurs, IT managers, security specialists, students and educators of higher education, librarians, researchers, and academicians.

The advancement in FinTech especially artificial intelligence (AI) and machine learning (ML), has significantly affected the way financial services are offered and adopted today. Important financial decisions such as investment decision making, macroeconomic analysis, and credit evaluation are getting more complex in the field of finance. ML is used in many financial companies which are making a significant impact on financial services. With the increasing complexity of financial transaction processes, ML can reduce operational costs through process automation which can automate repetitive tasks and increase productivity. Among others, ML can analyze large volumes of historical data and make better trading decisions to increase revenue. This book provides an exhaustive overview of the roles of AI and ML algorithms in financial sectors with special reference to complex financial applications such as financial risk management in a big data environment. In addition, it provides a collection of high-quality research works that address broad challenges in both theoretical and application aspects of AI in the field of finance.

In recent decades, there has been an increasing interest in using machine learning and, in the last few years, deep learning methods combined with other vision and image processing techniques to create systems that solve vision problems in different fields. There is a need for academicians, developers, and industry-related researchers to present, share, and explore traditional and new areas of computer vision, machine learning, deep learning, and their combinations to solve problems. Computer Vision and Image Processing in the Deep Learning Era is designed to serve researchers and developers by sharing original, innovative, and state-of-the-art algorithms and architectures for applications in the areas of computer vision, image processing, biometrics, virtual and augmented reality, and more. It integrates the knowledge of the growing international community of researchers working on the application of machine learning and deep learning methods in vision and robotics. Covering topics such as brain tumor detection, heart disease prediction, and medical image detection, this premier reference source is an exceptional resource for medical professionals, faculty and students of higher education, business leaders and managers, librarians, government officials, researchers, and academicians.

This incisive book provides a much-needed examination of the legal issues arising from the data economy, particularly in the light of the expanding role of algorithms and artificial intelligence in business and industry. In doing so, it discusses the pressing question of how to strike a balance in the law between the interests of a variety of stakeholders, such as AI industry, businesses and consumers. Investigating issues at the intersection of trade secrets and personal data as well as the potential legal conflicts to which this can give rise, Gintare Surblyte-Namaviciene examines what kinds of changes to the legal framework the growing data economy may require. Through an analysis of the way in which EU competition law may tackle algorithm-related problems the book also identifies a regulatory gap in the case of algorithmic manipulation in the business-to-consumer relationship. The book further argues that control by public bodies over terms and conditions often used in the data economy may be necessary for the sake of consumer protection. Scholars in competition law and regulatory governance, particularly those with an interest in the impacts of technology, will find this to be critical reading. It will also be beneficial to practitioners and policy makers working at the intersections of regulation and technology.

Digital Platforms and Global Law focuses on digital platforms and identifies their relevant legal profiles in terms of transnational and international law. It qualifies digital platforms as private legal orders, which exercise the legislative, executive, and (para)jurisdictional power within them. Starting from this assumption, the author studies the relationship between these orders and state, transnational, and international orders. The book first explores the reasons for the inadequacy of the current regulatory matrix and goes on to detail the need for a new paradigm; a shift from the current matrix of market regulation to one of negotiation. The author then examines the lack of effectiveness of current tools and explores how better versions, tools of uniform law, are emerging. This unique exploration will appeal to governments, regulatory authorities, digital platforms, businesses, and students and will find further audience with policy makers and practitioners.

Following his blockbuster biography of Steve Jobs, The Innovatorsis Walter Isaacson's story of the people who created the computer and the Internet. It is destined to be the standard history of the digital revolution and a guide to how innovation really works. What talents allowed certain inventors and entrepreneurs to turn their disruptive ideas into realities? What led to their creative leaps? Why did some succeed and others fail? In his exciting saga, Isaacson begins with Ada Lovelace, Lord Byron's daughter, who pioneered computer programming in the 1840s. He then explores the fascinating personalities that created our current digital revolution, such as Vannevar Bush, Alan Turing, John von Neumann, J.C.R. Licklider, Doug Engelbart, Robert Noyce, Bill Gates, Steve Wozniak, Steve Jobs, Tim Berners-Lee and Larry Page. This is the story of how their minds worked and what made them so creative. It's also a narrative of how their ability to collaborate and master the art of teamwork made them even more creative. For an era that seeks to foster innovation, creativity and teamwork, this book shows how they actually happen.

In today's competitive market, a manager must be able to look at data, understand it, analyze it, and then interpret it to design a smart business strategy. Big data is also a valuable source of information on how customers interact with firms through various mediums such as social media platforms, online reviews, and many more. The applications and uses of business analytics are numerous and must be further studied to ensure they are utilized appropriately. Data-Driven Approaches for Effective Managerial Decision Making investigates management concepts and applications using data analytics and outlines future research directions. The book also addresses contemporary advancements and innovations in the field of management. Covering key topics such as big data, business intelligence, and artificial intelligence, this reference work is ideal for managers, business owners, industry professionals, researchers, scholars, academicians, practitioners, instructors, and students.

Revealing the politics underlying the rapid globalization of facial recognition technology (FRT), this topical book provides a cutting-edge, critical analysis of the expanding global market for FRT, and the rise of the transnational social movement that opposes it. With the use of FRT for policing, surveillance, and business steadily increasing, this book provides a timely examination of both the benefits of FRT, and the threats it poses to privacy rights, human rights, and civil liberties. Interviews with analysts and activists with expertise in FRT find that the anti-FRT movement is highly uneven, with disproportionate influence in Western democracies and relatively little influence in authoritarian states and low-income countries in the developing world. Through a global analysis of the uptake and regulation of FRT, chapters create a holistic understanding of the politics behind this technology. Concluding with a look towards the future prospects of FRT in the face of the growing size, reach, and power of its opposition, the book reflects more broadly on the power of transnational social movements and civil society activism to prevent the globalization and normalization of new technologies. A visionary exploration of FRT, this book will be invaluable to students and scholars of politics and policy, alongside activists, stakeholders, and policy makers interested in the growing power of social movements to resist new technology.

The comprehensive compendium furnishes a quick and efficient entry point to many multiresolution techniques and facilitates the transition from an idea into a real project. It focuses on methods combining several soft computing techniques (fuzzy logic, neural networks, genetic algorithms) in a multiresolution framework.Illustrated with numerous vivid examples, this useful volume gives the reader the necessary theoretical background to decide which methods suit his/her needs.New materials and applications for multiresolution analysis are added, including notable research topics such as deep learning, graphs, and network analysis.

The Handbook on Socially Interactive Agents provides a comprehensive overview of the research fields of Embodied Conversational Agents Intelligent Virtual Agents and Social Robotics. Socially Interactive Agents (SIAs) whether virtually or physically embodied are autonomous agents that are able to perceive an environment including people or other agents reason decide how to interact and express attitudes such as emotions engagement or empathy. They are capable of interacting with people and one another in a socially intelligent manner using multimodal communicative behaviors with the goal to support humans in various domains.Written by international experts in their respective fields the book summarizes research in the many important research communities pertinent for SIAs while discussing current challenges and future directions. The handbook provides easy access to modeling and studying SIAs for researchers and students and aims at further bridging the gap between the research communities involved. In two volumes the book clearly structures the vast body of research. The first volume starts by introducing what is involved in SIAs research in particular research methodologies and ethical implications of developing SIAs. It further examines research on appearance and behavior focusing on multimodality. Finally social cognition for SIAs is investigated using different theoretical models and phenomena such as theory of mind or pro-sociality. The second volume starts with perspectives on interaction examined from different angles such as interaction in social space group interaction or long-term interaction. It also includes an extensive overview summarizing research and systems of human-agent platforms and of some of the major application areas of SIAs such as education aging support autism and games.

Lean thinking involves more than just eliminating waste; through its five guiding principles-value, value chain, continuous flow, pull production, and perfection-its successful applications are commonly found in the manufacturing sector. Although its application and benefits to companies is no longer contested, it is rare to find works that consolidate applications of lean thinking in sectors that are unconventional, such as healthcare and government. Cases on Lean Thinking Applications in Unconventional Systems allows readers to broaden their view on lean thinking applications and visualize insights for research. It presents case studies and applications of lean thinking within several different industries. Covering topics such as emergency care units, standardized work, and national humanization policy, this case book is an essential resource for engineers, hospital administrators, healthcare professionals, IT managers, government officials, students and faculty of higher education, researchers, and academicians.

Digital transformation in organizations optimizes the business processes but also brings additional challenges in the form of security threats and vulnerabilities. Cyberattacks incur financial losses for organizations and can affect their reputations. Due to this, cybersecurity has become critical for business enterprises. Extensive technological adoption in businesses and the evolution of FinTech applications require reasonable cybersecurity measures to protect organizations from internal and external security threats. Recent advances in the cybersecurity domain such as zero trust architecture, application of machine learning, and quantum and post-quantum cryptography have colossal potential to secure technological infrastructures. Cybersecurity Issues and Challenges for Business and FinTech Applications discusses theoretical foundations and empirical studies of cybersecurity implications in global digital transformation and considers cybersecurity challenges in diverse business areas. Covering essential topics such as artificial intelligence, social commerce, and data leakage, this reference work is ideal for cybersecurity professionals, business owners, managers, policymakers, researchers, scholars, academicians, practitioners, instructors, and students.

Small and medium-sized enterprises (SMEs) are recognized as the backbone of today's world economy. However, SMEs are well known for having limitations and acceptance barriers in adopting new technology even though the internet and communications channel's revolution has changed the way people conduct business today. Further, the COVID-19 pandemic has disturbed the operations of SMEs and increased the burden on social media application globally. It is essential that SMEs utilize social media to strengthen their performance. Strengthening SME Performance Through Social Media Adoption and Usage explores experiences in different technological, managerial, organizational, and entrepreneurial environmental issues. It focuses on different conceptions of factors and consequences influencing social media usage and SME performance. Covering topics such as corporate social responsibility, marketing frameworks, and social media adoption, this premier reference source is a valuable resource for entrepreneurs, business leaders and managers, human resource managers, marketers, consultants, students and educators of higher education, librarians, researchers, and academicians.

How robots will change our world Some fear that robots could do half our jobs and even wipe us out. But is that likely? Smart machines already make our cars and clean our homes. Soon they could drive us about, teach our children, and keep our parents company. While dealing with the ethical concerns about Artificial Intelligence, Bennie Mols and Nieske Vergunst reveal the history, present and future of robots. They show how moving AI could allow the lame to walk again, rescue survivors from collapsed buildings, and boost the global fight against hunger and pollution. Welcome to a vivid view of our robot future. With 60 colour photos. Topics From dolls to industrial workers, a history of robots How robots respond to their surroundings What robots learn about human speech Why self-driving cars are safer and greener The possibilities of robots in education Meet the 'cyborgs' who learn to walk again Why evolution designs the best robots Will rogue robots take over the world? Using robots as weapons and drones What the future holds: 2100, a Robot Odyssey Table of Contents 1 A short history of robots, from dolls to androids Machines as man throughout history Mechanical dolls: forerunners of the robot Enter the working humanoid robots The next step: android robots that look like you Uncanny valley: the problem with creepy robots 2. How do robots see their surroundings? Getting to grips with a new environment Seeing through the eyes of a robot Training robots to recognise objects Robots can see what a person cannot see Feeling with whiskers: sensing the way forward Robots use electronic ears to listen 3. How does a robot brain work? A robot must learn to think like a human Keeping it simple with an insect brain Machine learning is trial and error Robots can learn without supervision The football world cup for robots Developing robot emotional intelligence 4. Giving humans a helping hand Robots suck: doing the dirty jobs at home A robotic arm reaches deep into the supply chain Joseph Engelberger, father of car factory robots Co-bots will work alongside people Coping with variation is Amazon's challenge Building a robot car 5. Learning to speak to people The problem with machine talk SHRDLU! The first experiment in robot conversation Toilets are hidden: translation problems A robotic teacher never runs out of patience 6. Robots get emotional Emotional robots encourage humans to interact with them A robot can work out how you are feeling Why am I afraid? Understanding human emotions Help! My robot looks angry Establishing a bond with a robot 7. Humans need robots and robots need humans Meet the robot psychologists Under-promise and over-deliver performance Silicon Valley utopias vs calm technology What is the best ratio of robots to humans? In the rubble: the search and rescue robot The paradox of robotization 8. Humans need robots and robots need humans Meet the robot psychologists Under-promise and over-deliver performance * Silicon Valley utopias vs calm technology What is the best ratio of robots to humans? In the rubble: the search and rescue robot The paradox of robotization 9. Evolution designs the best robots How robots travel in a bumpy world Robothand has nature's grip A two-legged walking robot The first robot baby Working out the best path through evolution 10. Swarming robots show the wisdom of crowds The power of robots working together A robot swarm without a boss Goal is mapping a building about to collapse Predicting how a robot will behave Robot swarms in the real world A robotic swarm looks for a queen 11. The importance of building ethical robots Isaac Asimov's three rules about rogue robots When robots go wrong Responsible roboticists are planning for the future Robots and the UN's development goals How will robots change the human race? Killing machines: robots in the military 12. 2100 - A Robot Odyssey The future of work in a robotic world Fusing mind and body with soft robotics And then the smart robot became creative Was that move really creative? Will robots really take over the world?

Designing User Experience presents a comprehensive introduction to the practical issue of creating interactive systems, services and products from a human-centred perspective. It develops the principles and methods of human-computer interaction (HCI) and Interaction Design (ID) to deal with the design of twenty-first-century computing and the demands for improved user experience (UX). It brings together the key theoretical foundations of human experiences when people interact with and through technologies. It explores UX in a wide variety of environments and contexts.