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Innovation in Music: Technology and Creativity
Innovation in Music: Technology and Creativity is a groundbreaking collection bringing together contributions from instructors, researchers, and professionals.Split into two sections, covering composition and performance, and technology and innovation, this volume offers truly international perspectives on ever-evolving practices. Including chapters on audience interaction, dynamic music methods, AI, and live electronic performances, this is recommended reading for professionals, students, and researchers looking for global insights into the fields of music production, music business, and music technology.
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Tourism Innovation in the Digital Era : Big Data, AI and Technological Transformation
Digitalization and artificial intelligence are increasingly influencing modes of travel planning, exploration of new destinations, and promotion of them.The potential of new technologies to completely overhaul the tourism and hospitality industry is emerging; new generations of tourists will have radically different expectations and requirements in relation to today's tourists.The sharing economy and the experience economy strongly influence the creation of new business models in tourism.Many low-income economies can potentially benefit from this digital transformation and others are at risk of being left behind if they fail to embrace this moment. To explore how and why, ten chapters are presented here in Tourism Innovation in the Digital Era, ranging from topics as diverse as big data analytics in tourism marketing to the impact of AI to the use of CSR in competitiveness amongst hotel groups.Providing multidisciplinary approaches, readers will learn more about the organizational impacts of digitalization and artificial intelligence in tourism and hospitality. The book series New Perspectives in Tourism and Hospitality Management positions organizational change and behavior in the tourism and hospitality sector at its heart, providing interdisciplinary research in this field and joining the areas of organizational studies and tourism/hospitality management.
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The Enterprise Data Catalog : Improve Data Discovery, Ensure Data Governance, and Enable Innovation
Combing the web is simple, but how do you search for data at work?It's difficult and time-consuming, and can sometimes seem impossible.This book introduces a practical solution: the data catalog.Data analysts, data scientists, and data engineers will learn how to create true data discovery in their organizations, making the catalog a key enabler for data-driven innovation and data governance. Author Ole Olesen-Bagneux explains the benefits of implementing a data catalog.You'll learn how to organize data for your catalog, search for what you need, and manage data within the catalog.Written from a data management perspective and from a library and information science perspective, this book helps you:Learn what a data catalog is and how it can help your organizationOrganize data and its sources into domains and describe them with metadataSearch data using very simple-to-complex search techniques and learn to browse in domains, data lineage, and graphsManage the data in your company via a data catalogImplement a data catalog in a way that exactly matches the strategic priorities of your organizationUnderstand what the future has in store for data catalogs
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Foundations for Architecting Data Solutions : Managing Successful Data Projects
Big Data Solution Architecture provides everyone from CIOs and COOs to lead architects and lead developers with the fundamental concepts of big data development.Authors Ted Malaska and Jonathan Seidman guide you through all the major components necessary to start, architect, and develop successful big data projects.This practical book covers a variety of different big data architectures and applications, from massive data pipelines to web scale applications.Each chapter addresses a different part of the software development life cycle and identifies patterns that build on one another to maximize success throughout the life of your project.You’ll learn how to: Build a Big Data center of excellence in your company for the first time Identify and manage risk in your data project Retain and motivate teams to increase engagement and innovation Maximize Big Data ROI and align cost structure to help your company attain success
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What does digitalization have to do with data locuta causa finita?
Digitalization plays a significant role in the concept of data locuta causa finita, which means "the data has spoken, the case is closed." Through digitalization, vast amounts of data can be collected, analyzed, and used to make informed decisions. This data-driven approach allows for more accurate and efficient decision-making processes, leading to quicker resolutions and closure of cases. In essence, digitalization enables the data to speak for itself, providing conclusive evidence or insights that help in closing the case.
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What does digitalization have to do with "data locuta causa finita"?
Digitalization is closely related to the concept of "data locuta causa finita" as it emphasizes the importance of data-driven decision-making. In a digitalized world, vast amounts of data are collected, analyzed, and used to inform and support decision-making processes. This data-driven approach aligns with the idea that once the data speaks, the discussion is settled, reflecting the notion that decisions should be based on factual evidence rather than subjective opinions. Therefore, digitalization enhances the application of "data locuta causa finita" by providing a wealth of data to support and validate decisions.
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Is it true that Germany is strongly committed to digitalization and innovation?
Yes, it is true that Germany is strongly committed to digitalization and innovation. The German government has launched initiatives such as Industry 4.0 to promote the digital transformation of its industries. Germany is also known for its strong research and development sector, with a focus on cutting-edge technologies. Additionally, German companies are investing heavily in digital technologies to stay competitive in the global market.
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Is the technical diploma in automation technology difficult?
The difficulty of the technical diploma in automation technology can vary depending on the individual's background, experience, and aptitude for the subject matter. Some students may find the coursework challenging due to the complex concepts and technical skills required, while others with a strong foundation in math, science, and technology may find it more manageable. Overall, dedication, hard work, and a genuine interest in automation technology can help students succeed in completing the program.
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Data Analytics and Digital Transformation
Understanding the significance of data analytics is paramount for digital transformation but in many organizations they are separate units without fully aligned goals.As organizations are applying digital transformations to be adaptive and agile in a competitive environment, data analytics can play a critical role in their success.This book explores the crossroads between them and how to leverage their connection for improved business outcomes.The need to collaborate and share data is becoming an integral part of digital transformation.This not only creates new opportunities but also requires well-considered and continuously assessed decision-making as competitiveness is at stake.This book details approaches, concepts, and frameworks, as well as actionable insights and good practices, including combined data management and agile concepts.Critical issues are discussed such as data quality and data governance, as well as compliance, privacy, and ethics.It also offers insights into how both private and public organizations can innovate and keep up with growing data volumes and increasing technological developments in the short, mid, and long term.This book will be of direct appeal to global researchers and students across a range of business disciplines, including technology and innovation management, organizational studies, and strategic management.It is also relevant for policy makers, regulators, and executives of private and public organizations looking to implement successful transformation policies.
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The Pepper Effect : Tap into the Magic of Creativity, Collaboration, and Innovation
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Data Analytics in Marketing, Entrepreneurship, and Innovation
Innovation based in data analytics is a contemporary approach to developing empirically supported advances that encourage entrepreneurial activity inspired by novel marketing inferences.Data Analytics in Marketing, Entrepreneurship, and Innovation covers techniques, processes, models, tools, and practices for creating business opportunities through data analytics.It features case studies that provide realistic examples of applications.This multifaceted examination of data analytics looks at: Business analyticsApplying predictive analytics Using discrete choice analysis for decision-making Marketing and customer analyticsDeveloping new productsTechnopreneurshipDisruptive versus incremental innovationThe book gives researchers and practitioners insight into how data analytics is used in the areas of innovation, entrepreneurship, and marketing.Innovation analytics helps identify opportunities to develop new products and services, and improve existing methods of product manufacturing and service delivery.Entrepreneurial analytics facilitates the transformation of innovative ideas into strategy and helps entrepreneurs make critical decisions based on data-driven techniques.Marketing analytics is used in collecting, managing, assessing, and analyzing marketing data to predict trends, investigate customer preferences, and launch campaigns.
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Data-Driven Innovation in the Creative Industries
The creative industries – the place where art, business, and technology meet in economic activity – have been hugely affected by the relatively recent digitalisation (and often monetisation) of work, home, relationships, and leisure.Such trends were accelerated by the global COVID-19 pandemic.This edited collection examines how the creative industries can be supported to make best use of opportunities in digital technology and data-driven innovation. Since digital markets and platforms are now essential for revenue generation and audience engagement, there is a vital need for improved data and digital skills in the creative and cultural sectors.Taking a necessarily global perspective, this book explores the challenges and opportunities of data-driven approaches to creativity in different contexts across the arts, cultural, and heritage sectors.Chapters reach beyond the platforms and approaches provided by the technology sector to delve into the collaborative work that supports innovation around the interdisciplinary and cross-sectoral issues that emerge where data infrastructures and approaches meet creativity. A novel intervention that uniquely centres the role of data in the theory and practice of creative industries’ innovation, this book is valuable reading for those researching and studying the creative economy as well for those who drive investment for the creative industries in a digitalised society. The Open Access version of this book, available at www.taylorfrancis.com, has been made available under a Creative Commons Attribution-Non Commercial-No Derivatives (CC-BY-NC-ND) 4.0 International license.
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Is the electronics technician for automation technology difficult?
Becoming an electronics technician for automation technology can be challenging, as it requires a strong understanding of electrical systems, programming, and automation technology. The field is constantly evolving, so technicians must stay updated on the latest advancements and technologies. However, with dedication and the right training, individuals can develop the skills and knowledge needed to succeed in this role. It may be difficult at times, but the opportunities for growth and the potential to work on cutting-edge technology make it a rewarding career choice for those passionate about automation.
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How are electronics technicians trained for automation technology?
Electronics technicians are trained for automation technology through a combination of formal education and on-the-job training. They typically complete a post-secondary program in electronics or a related field, where they learn about electrical circuits, digital electronics, and control systems. Additionally, they receive specialized training in automation technology, which includes learning about programmable logic controllers (PLCs), industrial robotics, and process control systems. This training may also involve hands-on experience with automation equipment and systems in a lab or industrial setting. Overall, electronics technicians are trained to understand and troubleshoot the complex systems used in automation technology.
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What is the difference between automation technology and mechatronics?
Automation technology focuses on the use of control systems to operate equipment and processes with minimal human intervention. It involves the use of sensors, actuators, and controllers to automate tasks. Mechatronics, on the other hand, is a multidisciplinary field that combines elements of mechanical engineering, electrical engineering, and computer science to design and create intelligent systems. Mechatronics integrates mechanical systems with electronics and computer control to create advanced automated systems that can perform complex tasks. In summary, automation technology is a subset of mechatronics, which is a broader field encompassing a wider range of technologies and disciplines.
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What are interesting application areas in the fields of digitalization, big data, and artificial intelligence?
Some interesting application areas in the fields of digitalization, big data, and artificial intelligence include healthcare, finance, and transportation. In healthcare, these technologies can be used for personalized medicine, disease prediction, and improving patient care. In finance, they can be utilized for fraud detection, risk assessment, and algorithmic trading. In transportation, they can help optimize routes, reduce traffic congestion, and enhance autonomous driving systems. These application areas showcase the potential of digitalization, big data, and artificial intelligence to revolutionize various industries and improve efficiency and decision-making processes.
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