Products related to Data:
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Data Driven : Truckers, Technology, and the New Workplace Surveillance
A behind-the-scenes look at how digital surveillance is affecting the trucking way of lifeLong-haul truckers are the backbone of the American economy, transporting goods under grueling conditions and immense economic pressure.Truckers have long valued the day-to-day independence of their work, sharing a strong occupational identity rooted in a tradition of autonomy.Yet these workers increasingly find themselves under many watchful eyes.Data Driven examines how digital surveillance is upending life and work on the open road, and raises crucial questions about the role of data collection in broader systems of social control. Karen Levy takes readers inside a world few ever see, painting a bracing portrait of one of the last great American frontiers.Federal regulations now require truckers to buy and install digital monitors that capture data about their locations and behaviors.Intended to address the pervasive problem of trucker fatigue by regulating the number of hours driven each day, these devices support additional surveillance by trucking firms and other companies.Traveling from industry trade shows to law offices and truck-stop bars, Levy reveals how these invasive technologies are reconfiguring industry relationships and providing new tools for managerial and legal control—and how truckers are challenging and resisting them. Data Driven contributes to an emerging conversation about how technology affects our work, institutions, and personal lives, and helps to guide our thinking about how to protect public interests and safeguard human dignity in the digital age.
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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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Crime Mapping and Spatial Data Analysis using R
Crime mapping and analysis sit at the intersection of geocomputation, data visualisation and cartography, spatial statistics, environmental criminology, and crime analysis.This book brings together relevant knowledge from these fields into a practical, hands-on guide, providing a useful introduction and reference material for topics in crime mapping, the geography of crime, environmental criminology, and crime analysis.It can be used by students, practitioners, and academics alike, whether to develop a university course, to support further training and development, or to hone skills in self-teaching R and crime mapping and spatial data analysis.It is not an advanced statistics textbook, but rather an applied guide and later useful reference books, intended to be read and for readers to practice the learnings from each chapter in sequence.In the first part of this volume we introduce key concepts for geographic analysis and representation and provide the reader with the foundations needed to visualise spatial crime data.We then introduce a series of tools to study spatial homogeneity and dependence.A key focus in this section is how to visualise and detect local clusters of crime and repeat victimisation.The final chapters introduce the use of basic spatial models, which account for the distribution of crime across space.In terms of spatial data analysis the focus of the book is on spatial point pattern analysis and lattice or area data analysis.
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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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How difficult is a study of robotics and automation?
The study of robotics and automation can be challenging due to its interdisciplinary nature, requiring knowledge in fields such as mechanical engineering, electrical engineering, computer science, and control systems. Additionally, the rapid advancements in technology and the need to stay updated with the latest developments can add to the complexity of the study. However, with dedication, problem-solving skills, and a strong foundation in mathematics and physics, students can overcome these challenges and excel in the field of robotics and automation.
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How can one obtain flight weather data?
Flight weather data can be obtained from various sources such as the National Weather Service, aviation weather websites, and mobile apps. Pilots can also obtain weather data from their flight operations department or through flight planning software. Additionally, real-time weather updates can be obtained from air traffic control and flight service stations. It is important for pilots to regularly check and monitor weather data before and during their flights to ensure safe and efficient operations.
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How much does a flight data processor earn?
The salary of a flight data processor can vary depending on factors such as experience, location, and the specific employer. However, on average, a flight data processor can earn between $40,000 to $60,000 per year. With more experience and expertise, they may be able to earn higher salaries. Additionally, those working for larger airlines or in more specialized roles may also command higher salaries.
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Which country was entered incorrectly in the flight data?
The country entered incorrectly in the flight data was Japan. The flight data mistakenly listed the destination as Tokyo, Japan instead of Tokyo, South Korea. This error led to the flight landing in the wrong country, causing confusion and inconvenience for the passengers and crew. The correct destination should have been Tokyo, South Korea.
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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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Data Dating : Love, Technology, Desire
What does it mean to love with technology? Does data improve our emotional interactions? The collection approaches the query with critical essays and works of new media art to look into the construction of love and its practices in the time of digitally mediated relationships.With expertise coming from recognized researchers, critics and artists in the field of media and cultural studies, it analyses relationship trends and affect cultures that have emerged from technological acceleration. Data Dating: Love, Technology and Desire is a comprehensive study of love and intimacy under digitalism that reflects on the structure of feeling(s) and libido environments in the high-tech and media-bound landscapes of contemporary technocracies. Organized around ten chapters and ten works of new media art, the collection offers an extensive critical analysis of technologized romance (and other emotional relations), as well as provides an insight into the codification, execution, deployment, and evolution of the patterns of togetherness in the so-called Tamagotchi era. The chapters engage in the problems of new material planes that have emerged from the abstraction of networked communication and dispersion of traditional notions of physicality.They close-read the templates of contemporary fantasy, fetish and eroticism, as shaped by platform capitalism, datafication, and new commodity cultures, in which self-promotion for bonding relies on the new possibilities that are coming in with new media self-mediation formats.Central to the analysis is the carbon-silicon dynamics of love’s contemporary DNA and libidinal techne – practiced in the environment where screens, interfaces, algorithms, data protocols and non-organic objects of affection and affect delineate, organize and program the trajectories of encounter, limerence and erotic pleasure.All the chapters are authored by recognized researchers in the field of love, emotion, media, technology and cultural studies, and they critically explore various aspects of love/intimacy under technocracy, approaching them with expertise the goes beyond the typical high-modernist and post-structural reading of the media-ridden life practices and environments. More importantly, the collection includes landmark works of new media art coming from prominent new media artist gathered around 'Data Dating' – new media art exhibition, curated by Valentina Peri (co-editor of the collection) and presented in Paris, Tel Aviv and London.As such, the collection proffers a unique and original critical approach – one that combines artistic practice and cultural criticism – to comment upon the transformation of human relationships and emotional standards under technological development with reference to the social change and cultural condition. The collection of essays, each accompanied by a work of media art, that provides a comprehensive insight into the construction of love and its practices in the time of digitally mediated relationships. Primary readership will be among educators, researcher and students in disciplines including cultural studies, media and communications, philosophy, sociology, psychology and gender, LGBTQ+ and sexual studies.It will be an extremely valuable resource for those in these fields. It will be of interest to other groups including art curators, online platform designers, social media content managers and designers and data specialists.
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Data and Analytics Strategy for Business : Unlock Data Assets and Increase Innovation with a Results-Driven Data Strategy
For many organizations data is a by-product, but for the smarter ones it is the heartbeat of their business.Most businesses have a wealth of data buried in their systems which, if used effectively, could increase revenue, reduce costs and risk and improve customer satisfaction and employee experience.Beginning with how to choose projects which reflect your organization's goals and how to make the business case for investing in data, this book then takes the reader through the five 'waves' of organizational data maturity.It takes the reader from getting started on the data journey with some quick wins, to how data can help your business become a leading innovator which systematically outperforms competitors. Data and Analytics Strategy for Business outlines how to build consistent, high-quality sources of data which will create business value and explores how automation, AI and machine learning can improve performance and decision making.Filled with real-world examples and case studies, this book is a stage-by-stage guide to designing and implementing a results-driven data strategy.
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Thematic Mapping : 101 Inspiring Ways to Visualise Empirical Data
First place winner in Educational Products at the 2021 International Cartographic ConferenceMaps are ubiquitous, yet maps are not made equally, nor are they read equally. Every map is a product of its maker and its reader, and maps are rarely right or wrong but simply different versions of the truth.The meaning you see in a map can reinforce or challenge your understanding of the theme it represents, and you are much more likely to believe a map if it presents a version of the truth that you believe in already. But how do you decide what map you want to make? How do you understand the way in which different maps can be used in different ways to tell a story?How do you design a map to be read in a particular way?Thematic Mapping: 101 Inspiring Ways to Visualise Empirical Data answers these questions, and more. Using 101 maps, graphs, charts, and plots of the 2016 United States presidential election data, Thematic Mapping explores the rich diversity of thematic mapping and the visual representation of data.It details well-known techniques and demonstrates how to design effective maps and graphics.Each map illustrates a different approach to the same data, and all lead to different maps and different ways of seeing different shades of truth. Thematic Mapping examines the innovative and fascinating alternative ways of making maps of data which you can use in your own work.Which will speak to your truth? -- Ken Field
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Which data is necessary to book a flight online?
To book a flight online, you will need to provide personal information such as your full name, date of birth, and contact details. Additionally, you will need to provide your preferred travel dates, destination, and departure city. You will also need to provide payment information such as credit card details to complete the booking process.
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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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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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