How Do Ai Startups Build Trust In Their Smart Service Systems
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How Do Ai Startups Build Trust In Their Smart Service Systems
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Author : Lobosch Pannewitz
language : en
Publisher: GRIN Verlag
Release Date : 2018-11-29
How Do Ai Startups Build Trust In Their Smart Service Systems written by Lobosch Pannewitz and has been published by GRIN Verlag this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-11-29 with Business & Economics categories.
Bachelor Thesis from the year 2017 in the subject Business economics - Company formation, Business Plans, grade: 1,3, Free University of Berlin (Fachbereich Wirtschaftswissenschaft), course: Wirtschaftsinformatik, language: English, abstract: The global economy is shifting labor from agriculture and manufacturing to services. Globe-spanning service-based business models enabled by information technology (IT) and increas-ingly specialized businesses and professions have transformed our economies. Service innova-tion is key in order to achieve growth for this more-service-focused-than-ever world economy to thrive. Scholars recognize a need for new ways of value-creation that can propel economic growth and the development of more effective services (Vargo, Maglio, & Akaka, 2008). One answer to respond to that need is the re-organization of the production of services in so-called service systems. This approach is particularly useful for knowledge-intensive industries and noticeable for example in the artificial intelligence (AI) industry, a rapidly evolving, hy-per-innovative ecosystem with new players coming up at frequent intervals. AI startups offer their services through smart service systems or they try to make their customer’s and their own service systems smarter by adding AI services to the process of value co-creation. The industry heavily relies on software as a service (SaaS) business models which represent the ideal-typical shift to a service-dominant (S-D) logic thinking. When it comes to the acceptance of those new services, trust is a vital concern. While it has always been an important issue in services, trust in smart service systems becomes crucial. As AI startups’ service propositions are far from familiar to their potential clients, they have got to go the extra mile to build trust in their smart service systems. This paper will provide answers to the research question How do AI startups build trust in their smart service systems? by applying the theory of trust to smart service systems and AI startups. As website quality is an important trust-building lever the research question will be answered by exploring trust building measures in a sample of 26 AI startups’ websites. The major findings include that AI startups do not make their smart service systems as trans-parent as they could through their websites, that showcasing recognition by third parties oc-curs mostly through inexpensive tools that are easy to implement, and that all AI startups offer indirect channels to get in contact with them but less offer richer channels.
Startup Driven E Government Digital Innovation For Sustainable Ecosystems
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Author : Mishra, Divya
language : en
Publisher: IGI Global
Release Date : 2025-05-23
Startup Driven E Government Digital Innovation For Sustainable Ecosystems written by Mishra, Divya and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-23 with Business & Economics categories.
As startups create breakthrough innovation increasing public sector performance, they are often utilized to restructure government operations by leveraging digital technology and electronic governance. Measurable and simple solutions may improve efficiency in public services, boost the transparency of public institutions, and promote sustainability in areas ranging from education and farming to healthcare and business. The infusion of technology can upgrade traditional government models into innovative, customer-oriented, and sustainable foundations. Further exploration may revolutionize how e-governance tools can be used to enhance government responsiveness and create a sustainable digital ecosystem that benefits both the public and private sectors. Startup-Driven E-Government: Digital Innovation for Sustainable Ecosystems explores how digital changes are solving historical deficiencies in the management system. It offers actionable insights, focusing on how collaboration can overcome challenges and improve public services. Covering topics such as smart labor welfare, industrial automation, and women’s safety, this book is an excellent resource for government officials, policymakers, entrepreneurs, engineers, urban developers, business owners, researchers, scholars, academicians, and more.
Smart Services Summit
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Author : Shaun West
language : en
Publisher: Springer Nature
Release Date : 2025-05-15
Smart Services Summit written by Shaun West and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-15 with Business & Economics categories.
This book presents up-to-date descriptions of smart service innovations in industry, supported by new scientific approaches. It summarizes the outcomes of the sixth Smart Services Summit, held in Zurich, Switzerland in October 2024, which primarily focused on digital co-creation in the smart services era and the transformative power of digital technologies and artificial intelligence in service ecosystems. The book explores the dynamics of value co-creation and examines how digital tools and artificial intelligence are enhancing interactions between service providers and consumers to innovate and improve service delivery. It covers a range of pertinent topics including the automation of customer engagement, the role of data analytics in understanding value perception, and the ethical considerations of AI in services. It also presents case studies that illustrate successful applications of AI in service design, offering readers a comprehensive view of how these technologies are fostering innovative co-creation practices. With contributions from leading academics and industry experts, this publication is essential for anyone interested in the future of service industries. It provides a scholarly yet accessible examination of how digital tools are not only reshaping service interactions but also establishing new paradigms for business and customer experiences in the digital age.
Navigating Ai Ethics Building A Responsible And Equitable Future
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Author : Rick Spair
language : en
Publisher: Rick Spair
Release Date :
Navigating Ai Ethics Building A Responsible And Equitable Future written by Rick Spair and has been published by Rick Spair this book supported file pdf, txt, epub, kindle and other format this book has been release on with Computers categories.
In an era where artificial intelligence (AI) is rapidly transforming every aspect of our lives— from healthcare and education to finance and national security—society stands at a critical crossroads. The promise of AI is undeniable: enhanced efficiency, groundbreaking discoveries, and solutions to some of the world’s most complex challenges. But alongside this remarkable potential lies profound responsibility. As AI technologies become more autonomous and embedded into the fabric of our world, they also introduce ethical dilemmas that demand our immediate attention. "Navigating AI Ethics: Building a Responsible and Equitable Future" is a timely exploration of these ethical challenges. It offers a comprehensive guide to understanding how AI systems can—and must—be developed and deployed in ways that reflect the principles of fairness, accountability, and human dignity. The decisions we make today in governing AI will reverberate for generations to come, shaping not only technological progress but also the very fabric of our global society. Ethical considerations in AI are no longer abstract thought experiments confined to academic circles. We are already witnessing the real-world impact of AI systems in determining who gets hired, who receives loans, how law enforcement resources are allocated, and even who receives critical medical care. Yet, as these technologies become more powerful, they also become more opaque, raising urgent questions about transparency, bias, accountability, and control. Who is responsible when AI systems make mistakes or produce biased outcomes? How can we ensure that AI serves the interests of all humanity rather than reinforcing existing inequalities or creating new ones? This book aims to provide answers to these questions by offering a roadmap for building a responsible and equitable AI future. It explores the ethical principles that should guide AI development and presents practical frameworks for incorporating these principles into real-world applications. Drawing on insights from philosophers, technologists, policymakers, and industry leaders, "Navigating AI Ethics" seeks to balance innovation with ethical responsibility. At its core, this book is about safeguarding the human element in AI. As much as we are captivated by the potential of intelligent machines, the ultimate goal must always be to enhance, rather than diminish, human well-being. This involves not only preventing harm and addressing bias but also ensuring that the benefits of AI are distributed fairly across all sectors of society. As you journey through this book, you will gain a deeper understanding of the evolution of AI ethics, from early theoretical discussions to the concrete challenges facing us today. You will explore the pivotal roles that data, bias, privacy, and transparency play in shaping AI’s ethical landscape, and you will confront the difficult questions surrounding autonomy, accountability, and control in an increasingly automated world. The book also offers a forward-looking perspective, examining the future of AI ethics as we edge closer to the development of superintelligent systems, and how global cooperation will be essential to navigating these uncharted waters. "Navigating AI Ethics: Building a Responsible and Equitable Future" is more than just a discussion of the problems AI presents—it is a call to action. The future of AI is not predetermined; it will be shaped by the choices we make today. By embracing an ethical approach to AI development, we can ensure that these technologies contribute to a future that is not only intelligent but also just, fair, and aligned with the highest ideals of humanity. This is the future we must strive for: one where AI serves humanity, upholds ethical standards, and helps build a world that is better for all. Welcome to this critical exploration of AI ethics. Together, we can navigate the complex challenges of AI and ensure that its future is both responsible and equitable.
Artificial Intelligence For Smart Manufacturing And Industry X 0
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Author : M. M. Manjurul Islam
language : en
Publisher: Springer Nature
Release Date : 2025-03-05
Artificial Intelligence For Smart Manufacturing And Industry X 0 written by M. M. Manjurul Islam and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-03-05 with Technology & Engineering categories.
This book offers a foundational understanding of smart manufacturing (SM) and introduces effective AI methods tailored for smart manufacturing, including supervised, unsupervised, and reinforcement learning techniques. It also features real-world industrial case studies that demonstrate the practical applications of smart manufacturing. Drawing from the invaluable experiences gleaned from the aviation, healthcare, and semiconductors industries, this book provides an in-depth understanding of how AI is driving transformative changes in the manufacturing landscape. In the era of rapid technological advancements, the integration of AI into manufacturing processes has emerged as a game-changer. This book serves as an indispensable guide for navigating this transformation, presenting readers with a multidimensional perspective on the diverse applications, challenges, and opportunities that AI brings to the manufacturing sector. The book explores the emergence of Large Language Models (LLMs) as a valuable tool in manufacturing. It presents how LLMs, especially the GPT series, can process and generate textual data, offering potential applications in areas like smart manufacturing and big-data analysis. It contains detailed case studies, illustrating the practical implementation of smart manufacturing in different industries. The aviation, healthcare, automotive, and semiconductors sectors are examined, highlighting tangible benefits, challenges faced, and lessons learned from each domain. The book addresses the future prospects of Industry 4.0 and beyond—the interconnected, data-driven evolution of manufacturing. It examines the potential impact of emerging technologies such as the Industrial Internet of Things (IIoT), 5G, and advanced robotics on the manufacturing landscape. Challenges and future possibilities pertaining to research and advancement in smart manufacturing within the domains of Aviation, Semiconductors, and Healthcare sectors are also discussed. The chapters are written in a tutorial style to allow early-career researchers and industry practitioners an in-depth understanding of the various topics. The book serves as a reference for researchers, engineers, and students seeking to understand the synergy between AI, Industry 4.0, LLMs, and real-world applications.
The Ai Revolution In Customer Service And Support
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Author : Ross Smith
language : en
Publisher: Pearson Education
Release Date : 2024-07-16
The Ai Revolution In Customer Service And Support written by Ross Smith and has been published by Pearson Education this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-07-16 with Business & Economics categories.
In the rapidly evolving AI landscape, customer service and support professionals find themselves in a prime position to take advantage of this innovative technology to drive customer success. The AI Revolution in Customer Service and Support is a practical guide for professionals who want to harness the power of generative AI within their organizations to create more powerful customer and employee experiences. This book is designed to equip you with the knowledge and confidence to embrace the AI revolution and integrate the technology, such as large language models (LLMs), machine learning, predictive analytics, and gamified learning, into the customer experience. Start your journey toward leveraging this technology effectively to optimize organizational productivity. A portion of the book’s proceeds will be donated to the nonprofit Future World Alliance, dedicated to K-12 AI ethics education. IN THIS BOOK YOU’LL LEARN About AI, machine learning, and data science How to develop an AI vision for your organization How and where to incorporate AI technology in your customer experience fl ow About new roles and responsibilities for your organization How to improve customer experience while optimizing productivity How to implement responsible AI practices How to strengthen your culture across all generations in the workplace How to address concerns and build strategies for reskilling and upskilling your people How to incorporate games, play, and other techniques to engage your agents with AI Explore thought experiments for the future of support in your organization “Insightful & comprehensive—if you run a service & support operation, put this book on your essential reading list right now!” —PHIL WOLFENDEN, Cisco, VP, Customer Experience “This book is both timely and relevant as we enter an unprecedented period in our industry and the broader world driven by Generative AI. The magnitude and speed of change we’re experiencing is astounding and this book does an outstanding job balancing technical knowledge with the people and ethical considerations we must also keep front of mind.” —BRYAN BELMONT, Microsoft, Corporate VP, Customer Service & Support “The authors of this book are undoubtedly on the front lines of operationalizing Gen AI implementations in customer support environments... and they know undoubtedly that at its core, support is about people and genuine human connections. This book walks you through their journey to keep people at the center of this technical tsunami.” —PHAEDRA BOINODIRIS, Author, AI for the Rest of Us
Artificial Intelligence
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Author : Arthur G.O. Mutambara
language : en
Publisher: CRC Press
Release Date : 2025-04-09
Artificial Intelligence written by Arthur G.O. Mutambara and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-09 with Computers categories.
This book presents contextualised and detailed research on Artificial Intelligence (AI) and the Global South. It examines the key challenges of these emerging and least industrialised countries while proffering holistic and comprehensive solutions. The book then explains how AI, as part of these broad interventions, can drive Global South economies to achieve inclusive development and shared prosperity. The book outlines how countries can swiftly prepare to adopt and develop AI across all sectors. It presents novel national, regional, and continental AI adoption, development, and implementation frameworks. Features: Broad non-AI interventions and prescriptions to address Global South challenges A comprehensive but accessible introduction to AI concepts, technology, infrastructure, systems, and innovations such as AlphaFold, ChatGPT-4, and DeepSeek-R1 An overview of AI-related technologies such as quantum computing, battery energy storage systems, 3D printing, nanotechnology, IoT, and blockchain How to prepare emerging economies to unlock the benefits of AI while mitigating the risks Discussion of specific AI applications in 11 critical Global South sectors Details of 11 sector case studies of AI adoption in the Global South and Global North Ten country case studies: Sharing emergent AI experiences in the Global South AI adoption framework: vision, strategy, policy, governance, legislation/regulation, and implementation matrix A framework for democratising and decolonising AI The value proposition for AI research, development, and ownership in the Global South A case for the participation of the Global South in the AI semiconductor industry This book is aimed at policymakers, business leaders, graduate students, academics, researchers, strategic thinkers, and world leaders seeking to understand and leverage the transformative role of AI-based systems in achieving inclusive development, economic transformation, and shared prosperity.
Ai Models For Blockchain Based Intelligent Networks In Iot Systems
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Author : Bharat Bhushan
language : en
Publisher: Springer Nature
Release Date : 2023-06-08
Ai Models For Blockchain Based Intelligent Networks In Iot Systems written by Bharat Bhushan and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-06-08 with Computers categories.
The goal of this book is to explore various security paradigms such as Machine Learning, Big data, Cyber Physical Systems, and Blockchain to address both intelligence and reconfigurability in various IoT devices. The book further aims to address and analyze the state of the art of blockchain-based intelligent networks in IoT systems and related technologies including healthcare sector. AI can ease, optimize, and automate the blockchain-based decision-making process for better governance and higher performance in IoT systems. Considering the incredible progress made by AI models, a blockchain system powered by intelligent AI algorithms can detect the existence of any kind of attack and automatically invoke the required defense mechanisms. In case of unavoidable damage, AI models can help to isolate the compromised component from the blockchain platform and safeguard the overall system from crashing. Furthermore, AI models can also contribute toward the robustness and scalability of blockchain-based intelligent IoT networks. The book is designed to be the first-choice reference at university libraries, academic institutions, research and development centers, information technology centers, and any institutions interested in integration of AI and IoT. The intended audience of this book include UG/PG students, Ph.D. scholars of this fields, industry technologists, young entrepreneurs, professionals, network designers, data scientists, technology specialists, practitioners, and people who are interested in exploring the role of AI and blockchain technology in IoT systems.
Big Data Analytics And Intelligent Applications For Smart And Secure Healthcare Services
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Author : Kamal Upreti
language : en
Publisher: CRC Press
Release Date : 2025-02-26
Big Data Analytics And Intelligent Applications For Smart And Secure Healthcare Services written by Kamal Upreti and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-26 with Technology & Engineering categories.
The book provides a comprehensive discussion for utilizing computational models such as artificial neural networks, agent-based models, and decision field theory, for reliability engineering. It further presents optimization solutions for smart and secure healthcare services. The text showcases how to predict the failure and repair rates of healthcare subsystems using computational intelligence. This book: · Explores how data-driven methodologies and advanced computational intelligence are revolutionizing the healthcare industry, promoting efficiency, accessibility, and sustainability; · Highlights the pivotal role that big data analytics plays in harnessing vast amounts of patient records, clinical information, and real-time medical data to provide timely insights for healthcare professionals and policymakers; · Discusses the integration of artificial intelligence and machine learning techniques in healthcare, with a focus on revolutionizing disease detection, treatment planning, and resource allocation; · Lays the foundation for developing sustainable healthcare systems that are adaptable to long-term challenges, such as population growth, emerging diseases, and resource constraints; · Covers computational intelligence techniques, like fuzzy logic, neural networks, and evolutionary computations, emphasizing their role in solving complex, data-driven healthcare problems; · Includes topics like data management, visualization, protection, and complex adaptive systems, as well as hybrid computational intelligence techniques for synergistic problem-solving strategies. This volume will serve as an ideal text for senior undergraduates, graduate students, and academic researchers in fields including electrical engineering, electronics and communications engineering, computer engineering, and mathematics.
Intersecting Natural Language Processing And Fintech Innovations In Service Marketing
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Author : J Nair, Arjun
language : en
Publisher: IGI Global
Release Date : 2025-04-25
Intersecting Natural Language Processing And Fintech Innovations In Service Marketing written by J Nair, Arjun and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-25 with Computers categories.
Disruptive paradigms emerge from the accelerating advancements in natural language processing (NLP) and financial technology (FinTech), which present unparalleled opportunities in customer engagement. In an era where personalized experiences and sophisticated artificial intelligence (AI) interactions are pivotal for brand success, it is imperative for businesses to capitalize on AI’s capabilities for customer needs. By translating theoretical progress into actionable strategies, business can craft deeply personalized messages and experiences. Adopting these technologies to meet evolving consumer expectations and cultivating enduring customer loyalty is of strategic importance. Intersecting Natural Language Processing and FinTech Innovations in Service Marketing provides a meticulous analysis of these underlying technologies, bolstered by empirical case studies demonstrating successful integrations. Critical issues such as data privacy, security, and ethical considerations are also addressed, offering a comprehensive perspective on the opportunities and challenges inherent in this dynamic field. Covering topics such as pricing insinuations, key performance indicators (KPIs), and vulnerable consumers, this book is an excellent resource for computer engineers, marketers, policymakers, business owners, researchers, academicians, and more.