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| master data management conference 2023: DAMA-DMBOK Dama International, 2017 Defining a set of guiding principles for data management and describing how these principles can be applied within data management functional areas; Providing a functional framework for the implementation of enterprise data management practices; including widely adopted practices, methods and techniques, functions, roles, deliverables and metrics; Establishing a common vocabulary for data management concepts and serving as the basis for best practices for data management professionals. DAMA-DMBOK2 provides data management and IT professionals, executives, knowledge workers, educators, and researchers with a framework to manage their data and mature their information infrastructure, based on these principles: Data is an asset with unique properties; The value of data can be and should be expressed in economic terms; Managing data means managing the quality of data; It takes metadata to manage data; It takes planning to manage data; Data management is cross-functional and requires a range of skills and expertise; Data management requires an enterprise perspective; Data management must account for a range of perspectives; Data management is data lifecycle management; Different types of data have different lifecycle requirements; Managing data includes managing risks associated with data; Data management requirements must drive information technology decisions; Effective data management requires leadership commitment. |
| master data management conference 2023: Proceedings of the 2023 2nd International Conference on Educational Innovation and Multimedia Technology (EIMT 2023) Chew Fong Peng, Adelina Asmawi, Chuanjun Zhao, 2023-07-04 This is an open access book. As a leading role in the global megatrend of scientific innovation, China has been creating a more and more open environment for scientific innovation, increasing the depth and breadth of academic cooperation, and building a community of innovation that benefits all. Such endeavors are making new contributions to the globalization and creating a community of shared future. To adapt to this changing world and China's fast development in the new era, 2023 2nd International Conference on Educational Innovation and Multimedia Technology to be held in March 2023. This conference takes bringing together global wisdom in scientific innovation to promote high-quality development as the theme and focuses on cutting-edge research fields including Educational Innovation and Multimedia Technology. EIMT 2023 encourages the exchange of information at the forefront of research in different fields, connects the most advanced academic resources in China and the world, transforms research results into industrial solutions, and brings together talent, technology and capital to drive development. The conference sincerely invites experts, scholars, business people and other relevant personnel from universities, scientific research institutions at home and abroad to attend and exchange! |
| master data management conference 2023: Enterprise Master Data Management Allen Dreibelbis, Eberhard Hechler, Ivan Milman, Martin Oberhofer, Paul van Run, Dan Wolfson, 2008-06-05 The Only Complete Technical Primer for MDM Planners, Architects, and Implementers Companies moving toward flexible SOA architectures often face difficult information management and integration challenges. The master data they rely on is often stored and managed in ways that are redundant, inconsistent, inaccessible, non-standardized, and poorly governed. Using Master Data Management (MDM), organizations can regain control of their master data, improve corresponding business processes, and maximize its value in SOA environments. Enterprise Master Data Management provides an authoritative, vendor-independent MDM technical reference for practitioners: architects, technical analysts, consultants, solution designers, and senior IT decisionmakers. Written by the IBM ® data management innovators who are pioneering MDM, this book systematically introduces MDM’s key concepts and technical themes, explains its business case, and illuminates how it interrelates with and enables SOA. Drawing on their experience with cutting-edge projects, the authors introduce MDM patterns, blueprints, solutions, and best practices published nowhere else—everything you need to establish a consistent, manageable set of master data, and use it for competitive advantage. Coverage includes How MDM and SOA complement each other Using the MDM Reference Architecture to position and design MDM solutions within an enterprise Assessing the value and risks to master data and applying the right security controls Using PIM-MDM and CDI-MDM Solution Blueprints to address industry-specific information management challenges Explaining MDM patterns as enablers to accelerate consistent MDM deployments Incorporating MDM solutions into existing IT landscapes via MDM Integration Blueprints Leveraging master data as an enterprise asset—bringing people, processes, and technology together with MDM and data governance Best practices in MDM deployment, including data warehouse and SAP integration |
| master data management conference 2023: Proceedings of the 2023 4th International Conference on Management Science and Engineering Management (ICMSEM 2023) Suhaiza Hanim Binti Dato Mohamad Zailani, Kosga Yagapparaj, Norhayati Zakuan, 2023-10-07 This is an open access book.Management science aims to study the dynamic study of human use of limited resources in management activities to achieve organizational goals: complex and innovative social behavior and its laws. And engineering management refers to the management of important and complex new products, equipment and devices in the process of development, manufacturing and production, and also includes the study and management of technological innovation, technological transformation, transformation, transformation, layout and strategy of industrial engineering technology development. The development or breakthrough of management theory is accompanied by the development and progress of science and technology, and the level of science and technology and the level of management theory in each historical period are mutually adaptive, and it can be said that the progress of science and technology plays an important role in promoting the development of management. At the same time, the rapid development and progress of science and technology give a strong injection to the development of engineering, and provide the possibility for engineering construction can use new technology, new equipment, new technology and new materials. Modern management is an important development direction of management science nowadays. And the use of modern management in engineering has an important role in saving social costs, ensuring project quality, and improving safety awareness and behavior. ICMSEM 2023 will focus on modern management, discuss about the benefits that modernization brings to engineering. ICMSEM 2023 aims to: Develop and advance management science through the study and application of certain issues. Open up new perspectives in the sharing of speakers and inspire the audience to new ways of managing in engineering. Create a forum for sharing, research and exchange at the international level, so that the participants can be informed of the latest research directions, results and contents of management science, which will inspire them to new ideas for research and practice. |
| master data management conference 2023: The Proceedings of 2024 International Conference on Artificial Intelligence and Autonomous Transportation Jun Liu, Jianjian Yang, Minyi Xu, Quan Yu, Wenchao Shen, 2025-03-27 This book reflects the latest research trends, methods and experimental results in the field of Artificial Intelligence and Autonomous Transportation, which covers abundant state-of-the-art research theories and ideas. As a vital research area that is highly relevant to current developments in a number of technological domains, the topics covered include Autonomous Transportation Systems, Autonomous Transportation Management and Control Technology, Autonomous Transportation Equipment Technology, Vehicular Networking and Information Security, Emerging Technologies and Future Mobility, Intelligent water transportation technology, Cross-Domain Transportation Technology, and so on. The goal of the proceedings is to provide a major interdisciplinary forum for researchers, engineers, academics, and industry professionals to present the most innovative research and development in the field of Artificial Intelligence and Autonomous Transportation. Engineers and researchers from academia, industry, and government will also explore an insight view of the solutions that combine ideas from multiple disciplines in this area. The volumes serve as an excellent reference work for researchers and graduate students working in the areas of rail transportation, electrical engineering, and information technology. |
| master data management conference 2023: Proceedings of International Conference on Artificial Intelligence and Communication Technologies (ICAICT 2023) Roumen Kountchev, Srikanta Patnaik, Kazumi Nakamatsu, Roumiana Kountcheva, 2023-11-13 This book gathers selected papers presented at the International Conference on Artificial Intelligence and Communication Technologies (ICAICT2023), held at Shenzhen, China during June 2023. The first volume of the proceedings will focus on the newest methods and algorithms in smart wireless communications in the areas of Remote sensing and machine learning, Intelligent image and data processing, Health systems and security, Intelligent teaching applications and many others. |
| master data management conference 2023: CONVR 2023 - Proceedings of the 23rd International Conference on Construction Applications of Virtual Reality Pietro Capone, Vito Getuli , Farzad Pour Rahimian, Nashwan Dawood , Alessandro Bruttini, Tommaso Sorbi, Within the overarching theme of “Managing the Digital Transformation of Construction Industry” the 23rd International Conference on Construction Applications of Virtual Reality (CONVR 2023) presented 123 high-quality contributions on the topics of: Virtual and Augmented Reality (VR/AR), Building Information Modeling (BIM), Simulation and Automation, Computer Vision, Data Science, Artificial Intelligence, Linked Data, Semantic Web, Blockchain, Digital Twins, Health & Safety and Construction site management, Green buildings, Occupant-centric design and operation, Internet of Everything. The editors trust that this publication can stimulate and inspire academics, scholars and industry experts in the field, driving innovation, growth and global collaboration among researchers and stakeholders. |
| master data management conference 2023: Proceedings of the 9th International Conference on Engineering Management and the 2nd Forum on Modern Logistics and Supply Chain Management (ICEM-MLSCM 2024) Colin W. K. Chen, Tariq H. Malik, Qiufang Fu, Haiyan Xuan, 2024-10-01 This book is open access. In order to serve the development of regional industries, meet the needs of the industry, cultivate application-oriented talents with special needs in the industry, plan and promote scientific and technological innovation with a global perspective, bring together the latest cutting-edge scientific research results of global experts and scholars, create a strong academic exchange atmosphere, and promote the sharing and promotion of logistics and supply chain technology and scientific and technological innovation achievements, Guangzhou Business School plans to hold the 9th International Academic Conference on Engineering Management and the 2nd Forum on Modern Logistics and Supply Chain Management (ICEM-MLSCM2024) in Foshan on June 28-30, 2024. The conference sincerely invites experts and scholars from domestic and foreign universities, scientific research institutions, business people and other relevant personnel to participate in the exchange. |
| master data management conference 2023: Proceedings of the 2024 6th International Conference on Economic Management and Model Engineering (ICEMME 2024) Lina Zhong, Tang Yao, Chee Yoong Liew, Hongbo Li, 2025-05-24 This is an open access book. We extend a warm invitation to you to participate in 2024 6th International Conference on Economic Management and Model Engineering, which will be held November 22–24, 2024, in Dalian. The preceding four conferences (2020–2023) were effectively conducted, drawing in professionals, academics, and business executives from all over the world and making a substantial contribution to the development of model engineering and economic management research. The past conferences advanced innovation and development in the fields of economic management and model engineering, accomplishing outstanding feats in academia and industry from 2020 to 2023. Congratulations to everyone who took part and the organizers for their amazing work! The conference this year will explore innovations and challenges in applying emerging technologies to real-world scenarios, with a particular focus on how big data and artificial intelligence affect model engineering and economic management. Additionally, it will foster a deeper integration between academic research and industry practice. Economic management and model engineering face unprecedented opportunities and challenges as the global economy grows more complex and uncertain, and big data and artificial intelligence technologies develop at a rapid pace. This calls for collaborative exploration between academia and industry. The conference's objectives are to create a global forum for collaboration and exchange, with an emphasis on current research and its applications in the real world, to further the development of economic management theories and model engineering methods, and to improve the efficiency and creativity of international economic management practices. |
| master data management conference 2023: Edge Computing – EDGE 2023 Jun Feng, Frank Jiang, Min Luo, Liang-Jie Zhang, 2024-01-17 This book constitutes the refereed proceedings of the 7th International Conference on Edge Computing, EDGE 2023, held in Shenzhen, China, during December 17–18, 2023. The 8 full papers in this book were carefully reviewed and selected from 14 submissions. They were organized in topical sections as follows: Practice of Edge Computing, identify emerging research topics, and define the future of Edge Computing. |
| master data management conference 2023: The Proceedings of the 11th International Conference on Traffic and Transportation Studies Lingyun Meng, Yongsheng Qian, Yun Bai, Bin Lv, Yuanjie Tang, 2024-11-13 This book reflects the latest research trends, methods and experimental results in the field of traffic and transport, covering a wealth of state-of-the-art research theories and ideas. As a vital field of research, highly relevant to current developments in a number of technological areas, the topics covered include traffic data analysis, transport planning, multimodal and integrated transport, modelling and analysis of passenger behaviour, etc. The aim of the proceedings is to provide a major interdisciplinary forum for researchers, engineers, academics and industry professionals to present the most innovative research and development in the field of traffic and transportation. Engineers and researchers from academia, industry and government will also explore the solutions that combine ideas from different disciplines in the field. The volumes serve as an excellent reference for researchers and graduate students working in the field of traffic and transportation. |
| master data management conference 2023: Proceedings of the 3rd International Conference on Internet, Education and Information Technology (IEIT 2023) Dhananjay Kumar, Pavel Loskot, Qingliang Chen, 2023-09-01 This is an open access book. The 3rd International Conference on Internet, Education and Information Technology (IEIT 2023) was held on April 28–30, 2023 at the Xiamen, China. With the development of science and technology, information technology and information resources should be actively developed and fully applied in all fields of education and teaching, so as to promote the modernization of education and cultivate talents to meet the needs of society. From the technical point of view, the basic characteristics of educational informatization are digitalization, networking, intelligentization and multi-media. From the perspective of education, the basic characteristics of educational information are openness, sharing, interaction and cooperation. With the advantage of the network, it can provide students with a large amount of information and knowledge by combining different knowledge and information from various aspects in a high frequency. Therefore, we have intensified efforts to reform the traditional teaching methods and set up a new teaching concept, from the interaction between teachers and students in the past to the sharing between students. In short, it forms a sharing learning mode. For all students, strive to achieve students' learning independence, initiative and creativity. To sum up, we will provide a quick exchange platform between education and information technology, so that more scholars in related fields can share and exchange new ideas. The 3rd International Conference on Internet, Education and Information Technology (IEIT 2023) was held on April 28-30, 2023 in Xiamen, China. IEIT 2023 is to bring together innovative academics and industrial experts in the field of Internet, Education and Information Technology to a common forum. The primary goal of the conference is to promote research and developmental activities in Internet, Education and Information Technology and another goal is to promote scientific information interchange between researchers, developers, engineers, students, and practitioners working all around the world. The conference will be held every year to make it an ideal platform for people to share views and experiences in international conference on Internet, Education and Information Technology and related areas. |
| master data management conference 2023: Subject-Oriented Business Process Management. Models for Designing Digital Transformations Matthes Elstermann, Matthias Lederer, 2024-10-29 This book constitutes the refereed post proceedings of the 15th International Conference on Subject-Oriented Business Process Management, S-BPM ONE 2024, held in Weiden, Germany, during May 21–22, 2024. The 14 full papers and 8 short papers included in this book were carefully reviewed and selected from 30 submissions. These papers have been organized in the following topical sections: Processes And Data; Subject-Oriented Modeling, Philosophy, and Technology; Processes and Sustainability; Good Process Practices. |
| master data management conference 2023: Internet of Things – ICIOT 2023 Kejiang Ye, Liang-Jie Zhang, 2024-01-18 This book constitutes the refereed proceedings of the 8th International Conference on Internet on Things, ICIOT 2023, held as part of SCF 2023, in Shenzhen, China, during December 17–18, 2023. The 8 full papers presented in this volume were carefully reviewed and selected from 28 submissions. The papers cover topics in the field of sensors and other types of sensing devices, wired and wireless networks, platforms and tools, data processing/visualization/analysis and integration engines. |
| master data management conference 2023: Driving Business Success Through Eco-Friendly Strategies Kulkarni, Shrikaant, Valeri, Marco, William, P., 2025-02-12 The integration of business management with sustainability practices is crucial as organizations strive to balance profitability with environmental responsibility. By utilizing interdisciplinary knowledge, such as computer simulation models, predictive analytics, and mathematical tools, businesses can optimize decision-making and foster green practices. These approaches not only address the complexities of modern business but also help create sustainable ecosystems that ensure long-term success while minimizing environmental impact. Driving Business Success Through Eco-Friendly Strategies provides businesses with a comprehensive understanding of how eco-friendly strategies can be leveraged to drive long-term success and sustainability. It further illustrates how integrating environmentally responsible practices can lead to increased profitability, operational efficiency, and a stronger brand reputation, ultimately contributing to a competitive edge in the marketplace. Covering topics such as artificial intelligence (AI), renewable energy, and user management, this book is an excellent resource for researchers, students, academicians, business professionals, industrialists, and more. |
| master data management conference 2023: Intelligent Computing and Optimization Pandian Vasant, Mohammad Shamsul Arefin, Vladimir Panchenko, J. Joshua Thomas, Elias Munapo, Gerhard-Wilhelm Weber, Roman Rodriguez-Aguilar, 2023-12-19 This book of Springer Nature is another proof of Springer’s outstanding greatness on the lively interface of Holistic Computational Optimization, Green IoTs, Smart Modeling, and Deep Learning! It is a masterpiece of what our community of academics and experts can provide when an interconnected approach of joint, mutual, and meta-learning is supported by advanced operational research and experience of the World-Leader Springer Nature! The 6th edition of International Conference on Intelligent Computing and Optimization took place at G Hua Hin Resort & Mall on April 27–28, 2023, with tremendous support from the global research scholars across the planet. Objective is to celebrate “Research Novelty with Compassion and Wisdom” with researchers, scholars, experts, and investigators in Intelligent Computing and Optimization across the globe, to share knowledge, experience, and innovation—a marvelous opportunity for discourse and mutuality by novel research, invention, and creativity. This proceedings book of the 6th ICO’2023 is published by Springer Nature—Quality Label of Enlightenment. |
| master data management conference 2023: Advanced Information Networking and Applications Leonard Barolli, 2025-05-17 Networks of today are going through a rapid evolution and there are many emerging areas of information networking and their applications. Heterogeneous networking supported by recent technological advances in low power wireless communications along with silicon integration of various functionalities such as sensing, communications, intelligence and actuations are emerging as a critically important disruptive computer class based on a new platform, networking structure and interface that enable novel, low-cost and high-volume applications. Several of such applications have been difficult to realize because of many interconnection problems. To fulfill their large range of applications different kinds of networks need to collaborate and wired and next generation wireless systems should be integrated in order to develop high performance computing solutions to problems arising from the complexities of these networks. This volume covers the theory, design and applications of computer networks, distributed computing and information systems. The aim of the volume “Advanced Information Networking and Applications” is to provide latest research findings, innovative research results, methods and development techniques from both theoretical and practical perspectives related to the emerging areas of information networking and applications. |
| master data management conference 2023: ECCWS 2023 22nd European Conference on Cyber Warfare and Security Antonios Andreatos, Christos Douligeris, 2023-06-22 |
| master data management conference 2023: Master Data Management David Loshin, 2010-07-28 The key to a successful MDM initiative isn't technology or methods, it's people: the stakeholders in the organization and their complex ownership of the data that the initiative will affect.Master Data Management equips you with a deeply practical, business-focused way of thinking about MDM—an understanding that will greatly enhance your ability to communicate with stakeholders and win their support. Moreover, it will help you deserve their support: you'll master all the details involved in planning and executing an MDM project that leads to measurable improvements in business productivity and effectiveness. - Presents a comprehensive roadmap that you can adapt to any MDM project - Emphasizes the critical goal of maintaining and improving data quality - Provides guidelines for determining which data to master. - Examines special issues relating to master data metadata - Considers a range of MDM architectural styles - Covers the synchronization of master data across the application infrastructure |
| master data management conference 2023: Enterprise Design, Operations, and Computing. EDOC 2024 Workshops Monika Kaczmarek-Heß, Kristina Rosenthal, Marek Suchánek, Miguel Mira Da Silva, Henderik A. Proper, Marianne Schnellmann, 2025-02-08 This volume constitutes revised selected papers of two workshops, the Doctoral Consortium, the Joint CBI-EDOC Forum and and other Joint CBI-EDOC event, which were held in conjunction with the 28th International Conference on Enterprise Design, Operations, and Computing, EDOC 2024, in Vienna, Austria, in September 10–13, 2024. The presented revised full papers in this book were carefully reviewed and selected. They stem from the following satellite events: iRESEARCH – 2nd International Workshop on Empirical Methodologies for Research in Enterprise Architecture and Service-oriented Computing MIDas4CS – 2nd Workshop on the Modelling and Implementation of Digital Twins for Complex Systems Joint CBI–EDOC Forum Joint CBI–EDOC Case Reports Track Joint CBI–EDOC Tools & Demos Track EDOC Doctoral Consortium CBI Mini Dagstuhl Seminars |
| master data management conference 2023: Systems, Software and Services Process Improvement Murat Yilmaz, Paul Clarke, Andreas Riel, Richard Messnarz, 2023-08-29 This two-volume set constitutes the refereed proceedings of the 30th European Conference on Systems, Software and Services Process Improvement, EuroSPI 2023, held in Grenoble, France, in August-September 2023. The 47 full papers presented were carefully reviewed and selected from 100 submissions. The papers are organized according to the following topical sections: SPI and emerging and multidisciplinary approaches to software engineering; digitalisation of industry, infrastructure and e-mobility; SPI and good/bad SPI practices in improvement; SPI and functional safety and cybersecurity; SPI and agile; SPI and standards and safety and security norms; sustainability and life cycle challenges; SPI and recent innovations; virtual reality and augmented reality. |
| master data management conference 2023: Critical Factors for Adoption of Customer Relationship Management Omar Hasan Salah, Zawiyah Mohammad Yusof, Hazura Mohamed, Nur Fazidah Elias, 2023-12-15 This book explores the challenges in adopting customer relationship management (CRM) models in developing countries, with a focus on Palestine. Examining the cultural, organizational, and technological contexts, it reveals how these factors create adoption gaps, impacting customer pressure, employee engagement, and security. The narrative, enriched by real-world examples from Palestine, underscores the unique hurdles faced by firms in such environments. Emphasizing the central role of customers in business, the book delves into the initiatives many firms take to enhance customer services, target profitable segments, and improve acquisition and retention. However, in developing nations, these efforts encounter distinctive challenges. The book offers a practical CRM model tailored to the specific needs of small and medium-sized enterprises (SMEs), illustrating how technology can elevate competitiveness. With a strategic perspective, it positions CRM as a catalyst for SMEsto navigate the complexities of the dynamic economy, providing actionable insights for professionals, scholars, and business management students. This comprehensive guide encapsulates the nuances of CRM adoption, making it an invaluable resource for those seeking sustainable growth in developing country contexts. |
| master data management conference 2023: Corporate Data Quality Boris Otto, Hubert Österle, 2015-12-08 Data is the foundation of the digital economy. Industry 4.0 and digital services are producing so far unknown quantities of data and make new business models possible. Under these circumstances, data quality has become the critical factor for success. This book presents a holistic approach for data quality management and presents ten case studies about this issue. It is intended for practitioners dealing with data quality management and data governance as well as for scientists. The book was written at the Competence Center Corporate Data Quality (CC CDQ) in close cooperation between researchers from the University of St. Gallen and Fraunhofer IML as well as many representatives from more than 20 major corporations. Chapter 1 introduces the role of data in the digitization of business and society and describes the most important business drivers for data quality. It presents the Framework for Corporate Data Quality Management and introduces essential terms and concepts. Chapter 2 presents practical, successful examples of the management of the quality of master data based on ten cases studies that were conducted by the CC CDQ. The case studies cover every aspect of the Framework for Corporate Data Quality Management. Chapter 3 describes selected tools for master data quality management. The three tools have been distinguished through their broad applicability (method for DQM strategy development and DQM maturity assessment) and their high level of innovation (Corporate Data League). Chapter 4 summarizes the essential factors for the successful management of the master data quality and provides a checklist of immediate measures that should be addressed immediately after the start of a data quality management project. This guarantees a quick start into the topic and provides initial recommendations for actions to be taken by project and line managers. Please also check out the book's homepage at cdq-book.org/ |
| master data management conference 2023: Digital Transformation in the Construction Industry Ehsan Noroozinejad Farsangi, Mohammad Noori, T.Y. Yang, Vasilis Sarhosis, Seyedali Mirjalili, Mirosław J. Skibniewski, 2025-05-16 Digital Transformation in the Construction Industry: Sustainability, Resilience, and Data-Centric Engineering delivers timely and much sought-after guidance related to novel, digital-first practices and the latest technological tools, the gradual adoption of which is being embraced to significantly reshape the way buildings and other infrastructure assets are designed, constructed, operated, and maintained.Methodological and practice-informed investigations by scholars and researchers from across the globe, providing a wealth of knowledge relevant for, and applicable to, different geographical and economic contexts, are coherently collated in this edited volume. This systematic analysis of cutting-edge developments (such as Building Information Modeling, Internet of Things, Artificial Intelligence, Machine Learning, Big Data, Augmented Reality, Virtual Reality, 3D Printing, and Structural Health Monitoring) is accompanied by discussions on challenges and opportunities that digitalization engenders. Additionally, real-word case studies enrich the coverage, highlighting how these innovative solutions can contribute to establishing working efficiencies that can at the same time aid the impactful realization of globally recognized sustainability goals.Readers in both academic and professional settings are, therefore, not only equipped with a comprehensive overview of the state of the art but also offered an insightful reference resource for future works in the area. - Covers emerging technologies comprehensively - Emphasizes the use of digital tools to support achievements for worldwide net zero targets - Focuses on lean and agile construction practices to improve project efficiency and reduce waste |
| master data management conference 2023: Complex Systems Design & Management Daniel Krob, Lefei Li, Xinguo Zhang, Junchen Yao, Mengyu Guo, 2023-09-27 This book contains all refereed papers accepted during the 14th International Conference on Complex Systems Design & Management CSD&M 2023 that took place in Beijing, People’s Republic of China by the end October 2023. Mastering complex systems requires an integrated understanding of industrial practices as well as sophisticated theoretical techniques and tools. This explains the creation of an annual go-between European and Asian forum dedicated to academic researchers and industrial actors working on complex industrial systems architecting, modeling and engineering. These proceedings cover the most recent trends in the emerging field of complex systems, both from an academic and professional perspective. A special focus was put this year on “New Trends in Complex Systems Engineering.” The CSD&M series of conferences were initiated under the guidance of CESAM Community in Europe, managed by CESAMES. Its Asian version took place in Singapore for three consecutive sessions during 2014 and 2018. The fourth Asian edition was held in Beijing in hybrid with the Chinese Society of Aeronautics and Astronautics (CSAA) as the co-organizer in 2021. Since 2023, its European and Asian conferences merge into one, taking place in China and Europe in turn. CESAM Community aims in organizing the sharing of good practices in systems architecting and model-based systems engineering (MBSE) and certifying the level of knowledge and proficiency in this field through the CESAM certification. The CESAM systems architecting, and model-based systems engineering (MBSE) certification is especially currently the most disseminated professional certification in the world in this domain through more than 3,000 real complex system development projects on which it was operationally deployed and around 10,000 engineers who were trained on the CESAM framework at international level. |
| master data management conference 2023: Quantum Computing and Supply Chain Management: A New Era of Optimization Hassan, Ahdi, Bhattacharya, Pronaya, Dutta, Pushan Kumar, Verma, Jai Prakash, Kundu, Neel Kanth, 2024-07-23 Today's supply chains are becoming more complex and interconnected. As a result, traditional optimization engines struggle to cope with the increasing demands for real-time order fulfillment and inventory management. With the expansion and diversification of supply chain networks, these engines require additional support to handle the growing complexity effectively. This poses a significant challenge for supply chain professionals who must find efficient and cost-effective solutions to streamline their operations and promptly meet customer demands. Quantum Computing and Supply Chain Management: A New Era of Optimization offers a transformative solution to these challenges. By harnessing the power of quantum computing, this book explores how supply chain planners can overcome the limitations of traditional optimization engines. Quantum computing's ability to process vast amounts of data from IoT sensors in real time can revolutionize inventory management, resource allocation, and logistics within the supply chain. It provides a theoretical framework and practical examples to illustrate how quantum algorithms can enhance transparency, optimize dynamic inventory allocation, and improve supply chain resilience. |
| master data management conference 2023: Sustainable Development through Machine Learning, AI and IoT Pawan Whig, Nuno Silva, Ahmad A. Elngar, Nagender Aneja, Pavika Sharma, 2024-09-24 This book constitutes the refereed proceedings of the Second International Conference on Sustainable Development through Machine Learning, AI and IoT, ICSD 2024, held in Virtual Event, during April 27–28, 2024. The 38 full papers presented here were carefully reviewed and selected from 167 submissions. These papers have been categorized into the following sections: This volume encompassing a diverse array of topics at the intersection of cutting-edge technologies and practical applications. Each chapter delves into innovative approaches and solutions, providing valuable insights into contemporary challenges and opportunities in various domains. Here, we explore the realms of blockchain, data science, machine learning, artificial intelligence, and more, offering in-depth analyses and practical implementations. |
| master data management conference 2023: China’s e-Science Blue Book 2023 Chinese Academy of Sciences, Ministry of Education of the PRC, Ministry of Science and Technology PRC, China Association for Science Technology, Chinese Academy of Social Sciences, Chinese Academy of Engineering, National Natural Science FoundationChina, Chinese Academy of Agricultural Sciences, 2024-03-23 This series of books is a result of collaboration between the Chinese Academy of Sciences and relevant national departments. This book provides a comprehensive summary and analysis of the current state and future trends of e-Science in China, with a focus on strategic developments, application practices, and infrastructure construction. This book showcases the recent progress, achievements, and new situations in China's e-Science in the past two years, and offer detailed cases for reference. The content is rich and offers valuable insights for the future development of research informatization. |
| master data management conference 2023: Proceedings of the 2nd International Conference - Resilience by Technology and Design (RTD 2024) Tu Anh Trinh, Ducksu Seo, Truong Thinh Nguyen, 2024-11-22 This is an open access book. The 2024 iteration of the Resilience by Technology and Design (RTD) international conference, hosted by the University of Economics Ho Chi Minh City’s College of Technology and Design collaborating with local and international partners around the world, which is centered around the pivotal theme of Fostering Sustainability. This international symposium is committed to examining and promoting the integration of sustainable practices within the diverse spheres of technology and design. RTD theme for 2024 delves into the critical role of cutting-edge technologies, innovative design methodologies, and comprehensive data analytics in crafting solutions that align with the principles of environmental responsibility, economic viability, and social equity toward sustainability in city, regional and society. RTD 2024 is poised to act as a melting pot of interdisciplinary research, congregating thought leaders, academics, and practitioners. The objective is to collaboratively navigate the multifaceted challenges of global sustainability through the lens of technological and design innovations. |
| master data management conference 2023: Why Data Science Projects Fail Douglas Gray, Evan Shellshear, 2024-09-05 The field of artificial intelligence, data science, and analytics is crippling itself. Exaggerated promises of unrealistic technologies, simplifications of complex projects, and marketing hype are leading to an erosion of trust in one of our most critical approaches to making decisions: data driven. This book aims to fix this by countering the AI hype with a dose of realism. Written by two experts in the field, the authors firmly believe in the power of mathematics, computing, and analytics, but if false expectations are set and practitioners and leaders don’t fully understand everything that really goes into data science projects, then a stunning 80% (or more) of analytics projects will continue to fail, costing enterprises and society hundreds of billions of dollars, and leading to non-experts abandoning one of the most important data-driven decision-making capabilities altogether. For the first time, business leaders, practitioners, students, and interested laypeople will learn what really makes a data science project successful. By illustrating with many personal stories, the authors reveal the harsh realities of implementing AI and analytics. |
| master data management conference 2023: The Concept of Enterprise Architecture from Theory to Practice Tiko Iyamu, 2023-12-06 Even though the field of enterprise architecture (EA) has matured, many organisations still struggle with its development and implementation, particularly those organisations involved in continuous transformational cycles and subjected to different environmental trends. This book is intended to assist organisations in getting a grip on the factors influencing EA implementation and gaining a deeper understanding of why things happen the way they do in the practice of EA. It is a comprehensive and definitive resource that is useful to both business professionals and academics. The book presents an approach for the development, implementation, or institutionalisation of EA that is independent of any method or other architecture frameworks. It can be applied directly using a realistic selection of organizational variables. The approach has two distinctive features that support EA, even in complex environments: From both technical and non-technical perspectives, it identifies influencing factors and how they manifest in the practice of EA in an organization It offers linear and practical mechanisms for developing and implementing EA to fortify the practice of the concept in an organisation This approach represents a significant contribution to EA. Starting with descriptions for EA, the book offers deepened models and frameworks for the development and implementation of EA at the domain level. It also covers factors upon which a model is built for the institutionalisation of the concept. Additionally, the book discusses the implications of EA for sponsors, architects, and other stakeholders responsible for EA development, implementation, and institutionalisation. |
| master data management conference 2023: Technologies for Sustainable Healthcare Development Murugan, Thangavel, W., Jaisingh, P., Varalakshmi, 2024-07-26 In contemporary healthcare, Industry 5.0 technologies present a paradoxical challenge and opportunity. The rapid integration of Cyber Physical Systems, Cloud Computing, Internet of Things, Artificial Intelligence, Smart Factories, and Cognitive Computing has ushered in unprecedented transformations, yet it has concurrently given rise to critical vulnerabilities within healthcare systems. As sensitive patient data becomes increasingly digitized, the specter of cybersecurity threats looms larger than ever. The book, titled Technologies for Sustainable Healthcare Development, undertakes the crucial task of addressing this pressing concern. Focused on Cybersecurity and Data Science Innovations in Industry 5.0 Technologies for Sustainable Healthcare, it serves as an indispensable guide for professionals, researchers, and policymakers aiming to fortify healthcare systems against unauthorized access and cyber threats while unlocking the potential of transformative technologies. The overarching objective of Technologies for Sustainable Healthcare Development is to dissect the challenges posed by the convergence of cybersecurity, data science, and Industry 5.0 in healthcare. This timely publication delves into the evolution of cybersecurity and data science, providing insights into their symbiotic relationship and the implications for healthcare. Through its exploration of cutting-edge research, innovative solutions, and practical applications, the book becomes a beacon for those seeking to navigate the evolving landscape of secure healthcare development. It does not merely dissect problems but endeavors to provide sustainable development strategies, contributing to the advancement of robust and efficient healthcare systems. |
| master data management conference 2023: Proceedings of the 25th European Conference on Knowledge Management Dr. Nora Obermayer, Dr Andrea Bencsik, |
| master data management conference 2023: Artificial Intelligence for Precision Agriculture Pethuru Raj, N Gayathri, G. Jaspher Willsie Kathrine, 2024-12-19 Precision agriculture is a next-generation farming management concept that optimizes resource use, productivity, quality, profitability, and sustainability by observing and responding to crop variability. Precision agriculture employs digital technologies such as the Internet of Things (IoT), artificial intelligence (AI), 5G communication, cybersecurity, edge computing, cloud-native principles, and blockchain to ensure crops and soil receive exactly what they need for optimal health and productivity. Artificial Intelligence for Precision Agriculture explores the latest developments in precision agriculture, detailing how AI contributes to its goals. The book discusses how precision agriculture solutions use IoT devices, data storage, AI analytics, connectivity, and cloud infrastructures to analyze factors such as soil type, terrain, weather, plant growth, and yield data. It also examines edge technologies—sensors, microchips, beacons, RFID tags, robots, drones, and actuators—that collect field data and transmit it to cloud-based AI platforms for analysis. The book shows how AI-driven insights guide actions in the field, such as crop rotation, optimal planting and harvesting times, and soil management, and help farmers apply the right amounts of water, fertilizers, and pesticides, reducing waste and environmental impact. Applications covered in the book include: Drone-based high-resolution field mapping Tracking crops Crop yield assessments Data collection for irrigation, fertilization, and crop management Advanced weather monitoring Equipment management With chapters on AI model development, plant disease detection and remediation, sustainable farming techniques, data integration, AI-enabled data analytics, and knowledge visualization, this book is a comprehensive guide to technologies and applications in precision agriculture. |
| master data management conference 2023: Sustainable Production Through Advanced Manufacturing, Intelligent Automation and Work Integrated Learning J. Andersson, S. Joshi, L. Malmsköld, 2024-05-07 Collaboration between those working in product development and production is essential for successful product realization. The Swedish Production Academy (SPA) was founded in 2006 with the aim of driving and developing production research and higher education in Sweden, and increasing national cooperation in research and education within the area of production. This book presents the proceedings of SPS2024, the 11th Swedish Production Symposium, held from 23 to 26 April 2024 in Trollhättan, Sweden. The conference provided a platform for SPA members, as well as for professionals from industry and academia interested in production research and education from around the world, to share insights and ideas. The title and overarching theme of SPS2024 was Sustainable Production through Advanced Manufacturing, Intelligent Automation and Work Integrated Learning, and the conference emphasized stakeholder value, the societal role of industry, worker wellbeing, and environmental sustainability, in alignment with the European Commission's vision for the future of manufacturing. The 59 papers included here were accepted for publication and presentation at the symposium after a thorough review process. They are divided into 6 sections reflecting the thematic areas of the conference, which were: sustainable manufacturing, smart production and automation, digitalization for efficient product realization, circular production, industrial transformation for sustainability, and the integration of education and research. Highlighting the latest developments and advances in automation and sustainable production, the book will be of interest to all those working in the field. |
| master data management conference 2023: Emerging Challenges in Intelligent Management Information Systems Marcin Hernes, Jaroslaw Wątróbski, Artur Rot, 2024-12-20 This book contains the first volume of proceedings of the ECAI 2024 Workshop on Intelligent Management Information Systems (IMIS 2024). IMIS 2024 was part of the 27th European Conference on Artificial Intelligence ECAI 2024, held in Santiago de Compostela from October 19, 2024, to October 24, 2024. The book discusses emerging challenges related to implementing artificial intelligence in management information systems. The main focus is put on machine learning, including deep learning to support business processes, artificial intelligence for financial systems and cryptocurrencies, hybrid artificial intelligence, and multiple criteria decision analysis methods. The book is divided into three major parts covering the main issues related to the topic. The first part presents issues related to application of artificial intelligence in information systems. The second part is devoted to advanced machine learning and data processing methods to support business processes. The third part is devoted to intelligent multiple-criteria decision analysis methods. The book has an interdisciplinary character; therefore, it is intended for a broad scope of readers, including researchers, students, managers, and employees of business organizations, software developers, IT, and management specialists. |
| master data management conference 2023: The DAMA Dictionary of Data Management Dama International, 2011 A glossary of over 2,000 terms which provides a common data management vocabulary for IT and Business professionals, and is a companion to the DAMA Data Management Body of Knowledge (DAMA-DMBOK). Topics include: Analytics & Data Mining Architecture Artificial Intelligence Business Analysis DAMA & Professional Development Databases & Database Design Database Administration Data Governance & Stewardship Data Management Data Modeling Data Movement & Integration Data Quality Management Data Security Management Data Warehousing & Business Intelligence Document, Record & Content Management Finance & Accounting Geospatial Data Knowledge Management Marketing & Customer Relationship Management Meta-Data Management Multi-dimensional & OLAP Normalization Object-Orientation Parallel Database Processing Planning Process Management Project Management Reference & Master Data Management Semantic Modeling Software Development Standards Organizations Structured Query Language (SQL) XML Development |
| master data management conference 2023: Smart, Sustainable Manufacturing in an Ever-Changing World Konrad von Leipzig, Natasha Sacks, Michelle Mc Clelland, 2023-03-03 This book presents recent developments, research results, and industrial experience to increase the knowledge base of academics and industry. In a small world where trade is the new global driving force conquering countries and continents alike, international competitiveness is becoming the ultimate challenge. It requires high-quality products manufactured with state-of-the-art technologies at low cost under the assumption of highly efficient operations management as well as clear corporate goals and strategy. This in turn is based on improved engineering training and education, relevant applied research, and an active interaction between academia and industry. |
| master data management conference 2023: South African Computer Science and Information Systems Research Trends Aurona Gerber, 2024-07-07 This book contains a selection of the best papers of the 45th Annual Conference, SAICSIT 2024, held in Gqeberha, South Africa, in July 2024. The 26 full papers included in this book were carefully reviewed and selected from 81 submissions. They focus on the transforming relationship between humans and machines. This year's theme is Human-Machine-Digital-Convergence. |
| master data management conference 2023: Methodologies and Intelligent Systems for Technology Enhanced Learning, 14th International Conference Christothea Herodotou, Sofia Papavlasopoulou, Carlos Santos, Marcelo Milrad, Nuno Otero, Pierpaolo Vittorini, Rosella Gennari, Tania Di Mascio, Marco Temperini, Fernando De la Prieta, 2024-12-27 Education is the cornerstone of any society, and it serves as one of the foundations for many of its social values and characteristics. mis4TEL’24 promotes the interaction among the scientific community to discuss applications of Technology Enhanced Learning solutions targeting not only cognitive and social processes but also motivational, personality, or emotional factors. In addition, current trends concerning the use of Artificial Intelligence can help and augment learning opportunities for learners and educators. The 14th International Conference on Methodologies and Intelligent Systems for Technology Enhanced Learning (mis4TEL’24) technical program includes 29 contributions (17 full papers and 12 short papers). mis4TEL’24 is hosted by the BISITE Research Group of the University of Salamanca (Spain). We would like to thank all the contributing authors, the members of the Program Committee, National Associations (AEPIA, APPIA, and LASI), and the sponsors (AIR Institute). |
研究生，硕士，博士，phd等这些学历分别是什么？ - 知乎
硕士的英语写法是master，大师的意思，本科授予的学位是学士，英语是bachelor，来自knight bachelor，一种低阶贵族称谓，中文学士来自唐朝的一个低阶官职，而博士英文 …
一个普通中国人如何得到一张VISA卡? - 知乎
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请问MD PhD PharmD 等等这些，各代表哪种医学学历? - 知乎
国内的医学硕士据我了解在英联邦国家是有这种学制的，M.Med，比如我现在在的悉大居然就有Master of surgery,然而它并不是临床医学学位。 在多数国家现在读的人几乎没有，目前在印度读这个的是最多的，但是三年就 …
postgraduate 和 master 的区别是什么？ - 知乎
有一点需要注意，如果申请的是master degree，论文没通过或者挂科，学校只给了diploma没有给学历学位，那么回国认证将会是研究生文凭，而不是硕士学位。 2、Master diploma： Master是硕士学位，在英 …
MBA和EMBA有什么区别？哪一个更有含金量？ - 知乎
EMBA，全称是高级工商管理硕士（Executive Master of Business Administration），实质是MBA的一个分支，旨在培养高层管理者。EMBA在国内出现比MBA晚十年左右，起初是各高校通过自主 …
研究生，硕士，博士，phd等这些学历分别是什么？ - 知乎
硕士的英语写法是master，大师的意思，本科授予的学位是学士，英语是bachelor，来自knight bachelor，一种低阶贵族称谓，中文学士来自唐朝的一个低阶官职，而博士英文是doctor
一个普通中国人如何得到一张VISA卡? - 知乎
招商银行有个京东小白visa卡，下卡比较容易点，上个月刚下卡，已经用上了，我是在京东上边申请的，现在京东金融里边可能没有这个卡了，或许是隐藏了。
请问MD PhD PharmD 等等这些，各代表哪种医学学历? - 知乎
国内的医学硕士据我了解在英联邦国家是有这种学制的，M.Med，比如我现在在的悉大居然就有Master of surgery,然而它并不是临床医学学位。 在多数国家现在读的人几乎没有，目前在印度 …
postgraduate 和 master 的区别是什么？ - 知乎
有一点需要注意，如果申请的是master degree，论文没通过或者挂科，学校只给了diploma没有给学历学位，那么回国认证将会是研究生文凭，而不是硕士学位。 2、Master diploma： Master …
MBA和EMBA有什么区别？哪一个更有含金量？ - 知乎
EMBA，全称是高级工商管理硕士（Executive Master of Business Administration），实质是MBA的一个分支，旨在培养高层管理者。EMBA在国内出现比MBA晚十年左右，起初是各高校 …
Paper、thesis、dissertation 这三个词在使用中有什么区别？ - 知乎
学校对两者的长度也有大概的要求，master dissertation要求不要超过50页，PhD thesis则没有明确的页数要求，但是我们组默认的一个心理底线是150页。 但是，要注意的是，美国大学 …
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如图为多维固定效应模型应用工具变量时stata回归的代码，可是报错了，有哪位好心人知道是怎么回事吗？
为什么博士叫PhD？ - 知乎
硕士（Master）学位意味着能在指导下完成研究任务， 博士（Doctor）学位意味着能独立完成研究任务。 （科学网-博士究竟和硕士有何不同——重申陈式兔子定理-陈安的博文） 如那张图和 …
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知乎，中文互联网高质量的问答社区和创作者聚集的原创内容平台，于 2011 年 1 月正式上线，以「让人们更好的分享知识、经验和见解，找到自己的解答」为品牌使命。知乎凭借认真、专业 …
鼠标的左键不灵了，应该怎么修？ - 知乎
先把鼠标的螺丝拧开，罗技MX Master 2S使用了两种螺丝，前面这两只是米字型的螺丝。 这个直接就能拆除。 另外还有四只螺丝藏在了脚垫里，这里面藏的四只是十字花的螺丝，拆脚垫之 …
