How Do Ai Startups Build Trust In Their Smart Service Systems

Author : Lobosch Pannewitz
Publisher : GRIN Verlag
Page : 49 pages
File Size : 52,8 Mb
Release : 2018-11-29
Category : Business & Economics
ISBN : 9783668846227

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How do AI startups build trust in their smart service systems? by Lobosch Pannewitz Pdf

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.

Author : Guangtao Zhai,Jun Zhou,Hua Yang,Ping An,Xiaokang Yang
Publisher : Springer Nature
Page : 560 pages
File Size : 54,5 Mb
Release : 2022-04-16
Category : Computers
ISBN : 9789811922664

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Digital TV and Wireless Multimedia Communications by Guangtao Zhai,Jun Zhou,Hua Yang,Ping An,Xiaokang Yang Pdf

This book presents revised selected papers from the 18th International Forum on Digital TV and Wireless Multimedia Communication, IFTC 2021, held in Shanghai, China, in December 2021. The 41 papers presented in this volume were carefully reviewed and selected from 110 submissions. They were organized in topical sections on image analysis; quality assessment; target detection; video processing; big data.

Author : Harvard Business Review
Publisher : HBR Insights
Page : 160 pages
File Size : 51,5 Mb
Release : 2019
Category : Business & Economics
ISBN : 1633697894

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Artificial Intelligence by Harvard Business Review Pdf

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.

Author : Alexandre Dolgui,Alain Bernard,David Lemoine,Gregor von Cieminski,David Romero
Publisher : Springer Nature
Page : 730 pages
File Size : 51,6 Mb
Release : 2021-09-01
Category : Computers
ISBN : 9783030859022

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Advances in Production Management Systems. Artificial Intelligence for Sustainable and Resilient Production Systems by Alexandre Dolgui,Alain Bernard,David Lemoine,Gregor von Cieminski,David Romero Pdf

The five-volume set IFIP AICT 630, 631, 632, 633, and 634 constitutes the refereed proceedings of the International IFIP WG 5.7 Conference on Advances in Production Management Systems, APMS 2021, held in Nantes, France, in September 2021.* The 378 papers presented were carefully reviewed and selected from 529 submissions. They discuss artificial intelligence techniques, decision aid and new and renewed paradigms for sustainable and resilient production systems at four-wall factory and value chain levels. The papers are organized in the following topical sections: Part I: artificial intelligence based optimization techniques for demand-driven manufacturing; hybrid approaches for production planning and scheduling; intelligent systems for manufacturing planning and control in the industry 4.0; learning and robust decision support systems for agile manufacturing environments; low-code and model-driven engineering for production system; meta-heuristics and optimization techniques for energy-oriented manufacturing systems; metaheuristics for production systems; modern analytics and new AI-based smart techniques for replenishment and production planning under uncertainty; system identification for manufacturing control applications; and the future of lean thinking and practice Part II: digital transformation of SME manufacturers: the crucial role of standard; digital transformations towards supply chain resiliency; engineering of smart-product-service-systems of the future; lean and Six Sigma in services healthcare; new trends and challenges in reconfigurable, flexible or agile production system; production management in food supply chains; and sustainability in production planning and lot-sizing Part III: autonomous robots in delivery logistics; digital transformation approaches in production management; finance-driven supply chain; gastronomic service system design; modern scheduling and applications in industry 4.0; recent advances in sustainable manufacturing; regular session: green production and circularity concepts; regular session: improvement models and methods for green and innovative systems; regular session: supply chain and routing management; regular session: robotics and human aspects; regular session: classification and data management methods; smart supply chain and production in society 5.0 era; and supply chain risk management under coronavirus Part IV: AI for resilience in global supply chain networks in the context of pandemic disruptions; blockchain in the operations and supply chain management; data-based services as key enablers for smart products, manufacturing and assembly; data-driven methods for supply chain optimization; digital twins based on systems engineering and semantic modeling; digital twins in companies first developments and future challenges; human-centered artificial intelligence in smart manufacturing for the operator 4.0; operations management in engineer-to-order manufacturing; product and asset life cycle management for smart and sustainable manufacturing systems; robotics technologies for control, smart manufacturing and logistics; serious games analytics: improving games and learning support; smart and sustainable production and supply chains; smart methods and techniques for sustainable supply chain management; the new digital lean manufacturing paradigm; and the role of emerging technologies in disaster relief operations: lessons from COVID-19 Part V: data-driven platforms and applications in production and logistics: digital twins and AI for sustainability; regular session: new approaches for routing problem solving; regular session: improvement of design and operation of manufacturing systems; regular session: crossdock and transportation issues; regular session: maintenance improvement and lifecycle management; regular session: additive manufacturing and mass customization; regular session: frameworks and conceptual modelling for systems and services efficiency; regular session: optimization of production and transportation systems; regular session: optimization of supply chain agility and reconfigurability; regular session: advanced modelling approaches; regular session: simulation and optimization of systems performances; regular session: AI-based approaches for quality and performance improvement of production systems; and regular session: risk and performance management of supply chains *The conference was held online.

Author : Bernard Marr
Publisher : John Wiley & Sons
Page : 232 pages
File Size : 51,7 Mb
Release : 2019-04-15
Category : Business & Economics
ISBN : 9781119548980

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Artificial Intelligence in Practice by Bernard Marr Pdf

Cyber-solutions to real-world business problems Artificial Intelligence in Practice is a fascinating look into how companies use AI and machine learning to solve problems. Presenting 50 case studies of actual situations, this book demonstrates practical applications to issues faced by businesses around the globe. The rapidly evolving field of artificial intelligence has expanded beyond research labs and computer science departments and made its way into the mainstream business environment. Artificial intelligence and machine learning are cited as the most important modern business trends to drive success. It is used in areas ranging from banking and finance to social media and marketing. This technology continues to provide innovative solutions to businesses of all sizes, sectors and industries. This engaging and topical book explores a wide range of cases illustrating how businesses use AI to boost performance, drive efficiency, analyse market preferences and many others. Best-selling author and renowned AI expert Bernard Marr reveals how machine learning technology is transforming the way companies conduct business. This detailed examination provides an overview of each company, describes the specific problem and explains how AI facilitates resolution. Each case study provides a comprehensive overview, including some technical details as well as key learning summaries: Understand how specific business problems are addressed by innovative machine learning methods Explore how current artificial intelligence applications improve performance and increase efficiency in various situations Expand your knowledge of recent AI advancements in technology Gain insight on the future of AI and its increasing role in business and industry Artificial Intelligence in Practice: How 50 Successful Companies Used Artificial Intelligence to Solve Problems is an insightful and informative exploration of the transformative power of technology in 21st century commerce.

Author : Bharat Bhushan,Arun Kumar Sangaiah,Tu N. Nguyen
Publisher : Springer Nature
Page : 396 pages
File Size : 53,7 Mb
Release : 2023-06-08
Category : Computers
ISBN : 9783031319525

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AI Models for Blockchain-Based Intelligent Networks in IoT Systems by Bharat Bhushan,Arun Kumar Sangaiah,Tu N. Nguyen Pdf

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.

Author : Vivek Shrivastava,Jagdish Chand Bansal,B. K. Panigrahi
Publisher : Springer Nature
Page : 402 pages
File Size : 48,9 Mb
Release : 2023-12-15
Category : Technology & Engineering
ISBN : 9789819972166

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Power Engineering and Intelligent Systems by Vivek Shrivastava,Jagdish Chand Bansal,B. K. Panigrahi Pdf

The book presents a collection of the high-quality research articles in the field of power engineering, grid integration, energy management, soft computing, artificial intelligence, signal and image processing, data science techniques, and their real-world applications. The papers are presented at International Conference on Power Engineering and Intelligent Systems (PEIS 2023), held during June 24–25, 2023, at National Institute of Technology Delhi, India.

Author : Thomas H. Davenport,Nitin Mittal
Publisher : Harvard Business Press
Page : 109 pages
File Size : 51,7 Mb
Release : 2023-01-24
Category : Business & Economics
ISBN : 9781647824709

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All-in On AI by Thomas H. Davenport,Nitin Mittal Pdf

A Wall Street Journal bestseller A Publisher's Weekly bestseller A fascinating look at the trailblazing companies using artificial intelligence to create new competitive advantage, from the author of the business classic, Competing on Analytics, and the head of Deloitte's US AI practice. Though most organizations are placing modest bets on artificial intelligence, there is a world-class group of companies that are going all-in on the technology and radically transforming their products, processes, strategies, customer relationships, and cultures. Though these organizations represent less than 1 percent of large companies, they are all high performers in their industries. They have better business models, make better decisions, have better relationships with their customers, offer better products and services, and command higher prices. Written by bestselling author Tom Davenport and Deloitte's Nitin Mittal, All-In on AI looks at artificial intelligence at its cutting edge from the viewpoint of established companies like Anthem, Ping An, Airbus, and Capital One. Filled with insights, strategies, and best practices, All-In on AI also provides leaders and their teams with the information they need to help their own companies take AI to the next level. If you're curious about the next phase in the implementation of artificial intelligence within companies, or if you're looking to adopt this powerful technology in a more robust way yourself, All-In on AI will give you a rare inside look at what the leading adopters are doing, while providing you with the tools to put AI at the core of everything you do.

Author : Jürg Meierhofer,Shaun West,Thierry Buecheler
Publisher : Springer Nature
Page : 230 pages
File Size : 52,7 Mb
Release : 2023-08-29
Category : Business & Economics
ISBN : 9783031366987

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Smart Services Summit by Jürg Meierhofer,Shaun West,Thierry Buecheler Pdf

This book presents up-to-date descriptions of smart services innovations in industry, supported by new scientific approaches. It summarizes the outcomes of the fourth Smart Services Summit, held in Zurich in October 2022, which primarily focused on how smart services can promote sustainability. As smart services accelerate, new technologies can be leveraged to create new value propositions and business models that deliver tangible sustainability outcomes. This book addresses social, economic and environmental aspects of sustainability in connection with new technologies. It includes contributions on how the quality and value of services are affected by digital technologies, how collaboration affects shared value creation, and how organizations can be enabled to drive digital value creation. Given its scope, the book represents an indispensable guide for practitioners and advanced students alike.

Author : Vahap Tecim,Sezer Bozkus Kahyaoglu
Publisher : CRC Press
Page : 269 pages
File Size : 55,8 Mb
Release : 2022-11-23
Category : Technology & Engineering
ISBN : 9781000784633

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Artificial Intelligence Perspective for Smart Cities by Vahap Tecim,Sezer Bozkus Kahyaoglu Pdf

The concept of a "smart city" is used widely in general; however, it is hard to explain because of the complexity and multidimensionality of this notion. However, the essential qualification for being a smart city is to achieve "sustainable social, environmental, and economic development" and boost the living standards of society based on Information and Communication Technology (ICT) and Artificial intelligence (AI). AI in smart cities has become an important aspect for cities that face great challenges to make smart decisions for social well-being, particularly cybersecurity and corporate sustainability. In this context, we aim to contribute literature with a value-added approach where various AI applications of smart cities are discussed from a different perspective. First, we start by discussing the conceptual design, modeling, and determination of components for the sustainability of a smart city structure. Since smart cities operate on spatial-based data, it is important to design, operate, and manage smart city elements using Geographical Information Systems (GIS) technologies. Second, we define the structure, type, unit, and functionality of the layers to be placed on the GIS to achieve best practices based on Industry 4.0 components. Transportation is one of the key indicators of smart cities, so it is critical to make transportation in smart cities accessible for different disabled groups by using AI technologies. Third, we demonstrate what kinds of technologies should be used for which disabled groups in different transportation vehicles with specific examples. Finally, we create a discussion platform for processes and sub-processes such as waste management, emergency management, risk management, and data management for establishing smart cities including the financial and ethical aspects.

Author : Justin B. Bullock,Yu-Che Chen,Johannes Himmelreich,Valerie M. Hudson,Anton Korinek,Matthew M. Young,Baobao Zhang
Publisher : Oxford University Press
Page : 1097 pages
File Size : 48,8 Mb
Release : 2024-04-02
Category : Business & Economics
ISBN : 9780197579329

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The Oxford Handbook of AI Governance by Justin B. Bullock,Yu-Che Chen,Johannes Himmelreich,Valerie M. Hudson,Anton Korinek,Matthew M. Young,Baobao Zhang Pdf

"Book abstract: The Oxford Handbook of AI Governance examines how artificial intelligence (AI) interacts with and influences governance systems. It also examines how governance systems influence and interact with AI. The handbook spans forty-nine chapters across nine major sections. These sections are (1) Introduction and Overview, (2) Value Foundations of AI Governance, (3) Developing an AI Governance Regulatory Ecosystem, (4) Frameworks and Approaches for AI Governance, (5) Assessment and Implementation of AI Governance, (6) AI Governance from the Ground Up, (7) Economic Dimensions of AI Governance, (8) Domestic Policy Applications of AI, and (9) International Politics and AI"--

Author : Michael Karner
Publisher : Springer Nature
Page : 446 pages
File Size : 41,5 Mb
Release : 2024-07-03
Category : Electronic
ISBN : 9783031540493

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Intelligent Secure Trustable Things by Michael Karner Pdf

Author : Marco Antonio Aceves-Fernandez
Publisher : BoD – Books on Demand
Page : 466 pages
File Size : 42,9 Mb
Release : 2018-06-27
Category : Computers
ISBN : 9781789233643

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Artificial Intelligence by Marco Antonio Aceves-Fernandez Pdf

Artificial intelligence (AI) is taking an increasingly important role in our society. From cars, smartphones, airplanes, consumer applications, and even medical equipment, the impact of AI is changing the world around us. The ability of machines to demonstrate advanced cognitive skills in taking decisions, learn and perceive the environment, predict certain behavior, and process written or spoken languages, among other skills, makes this discipline of paramount importance in today's world. Although AI is changing the world for the better in many applications, it also comes with its challenges. This book encompasses many applications as well as new techniques, challenges, and opportunities in this fascinating area.

Author : Aaron Marcus
Publisher : Springer Nature
Page : 402 pages
File Size : 54,9 Mb
Release : 2024-07-03
Category : Electronic
ISBN : 9783031613531

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Design, User Experience, and Usability by Aaron Marcus Pdf

Author : Jiro Kokuryo,Toby Walsh,Catharina Maracke
Publisher : Lulu.com
Page : 114 pages
File Size : 45,5 Mb
Release : 2020-01-28
Category : Computers
ISBN : 9780244557300

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AI for Everyone: benefitting from and building trust in the technology by Jiro Kokuryo,Toby Walsh,Catharina Maracke Pdf

If governed adequately, AI (artificial intelligence) has the potential to benefit humankind enormously. However, if mismanaged, it also has the potential to harm humanity catastrophically. The title of this book reflects the belief that access to the benefits of AI, awareness about the nature of the technology, governance of the technology and its development process with a focus on responsible development, should be transparent, open, understood by and accessible to all people regardless of their geographic, generational, economic, cultural and/or other social background. The book is the result of a discussion series organized by the Association of Pacific Rim Universities (APRU) which was financially supported by Google.