Products related to Industry:
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Cloud Analytics for Industry 4.0
This book provides research on the state-of-the-art methods for data management in the fourth industrial revolution, with particular focus on cloud.based data analytics for digital manufacturing infrastructures.Innovative techniques and methods for secure, flexible and profi table cloud manufacturing will be gathered to present advanced and specialized research in the selected area.
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Audit Analytics in the Financial Industry
In Audit Analytics in the Financial Industry, editors Jun Dai, Miklos A.Vasarhelyi and Ann F. Medinets bring together a cast of expert contributors to explore ways to integrate Audit Analytics techniques into existing audit programs for the financial industry.Separated into six parts, the contributors take a variety of approaches to this exploration.In Part One, the contributors present two articles illustrating the process of applying Audit Analytics to solving audit problems.Part Two contains four studies that use various Audit Analytics techniques to discover fraud risks and potential frauds in the credit card sector.In Part Three, the chapter focus on the insurance sector and show the application of clustering techniques in auditing.Part Four includes two chapters on how to employ Audit Analytics in the transitory system for fraud/anomaly detection.Finally, Parts Five and Six illustrate the use of Audit Analytics to assess risk in the lawsuit and payment processes. For students, researchers, and professionals in the accounting sector, this is an unmissable read exploring the latest research in Audit Analytics.
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Data Analytics Applied to the Mining Industry
Data Analytics Applied to the Mining Industry describes the key challenges facing the mining sector as it transforms into a digital industry able to fully exploit process automation, remote operation centers, autonomous equipment and the opportunities offered by the industrial internet of things.It provides guidelines on how data needs to be collected, stored and managed to enable the different advanced data analytics methods to be applied effectively in practice, through use of case studies, and worked examples.Aimed at graduate students, researchers, and professionals in the industry of mining engineering, this book: Explains how to implement advanced data analytics through case studies and examples in mining engineering Provides approaches and methods to improve data-driven decision making Explains a concise overview of the state of the art for Mining Executives and Managers Highlights and describes critical opportunity areas for mining optimization Brings experience and learning in digital transformation from adjacent sectors
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Data Analytics for Business : Foundations and Industry Applications
Data analytics underpin our modern data-driven economy.This textbook explains the relevance of data analytics at the firm and industry levels, tracing the evolution and key components of the field, and showing how data analytics insights can be leveraged for business results.The first section of the text covers key topics such as data analytics tools, data mining, business intelligence, customer relationship management, and cybersecurity.The chapters then take an industry focus, exploring how data analytics can be used in particular settings to strengthen business decision-making.A range of sectors are examined, including financial services, accounting, marketing, sport, health care, retail, transport, and education.With industry case studies, clear definitions of terminology, and no background knowledge required, this text supports students in gaining a solid understanding of data analytics and its practical applications.PowerPoint slides, a test bank of questions, and an instructor’s manual are also provided as online supplements. This will be a valuable text for undergraduate level courses in data analytics, data mining, business intelligence, and related areas.
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What is spatial visualization ability?
Spatial visualization ability refers to the capacity to mentally manipulate and comprehend spatial relationships between objects. Individuals with strong spatial visualization skills can easily visualize and understand how objects relate to each other in space, such as rotating or manipulating shapes in their mind. This ability is crucial in various fields such as engineering, architecture, and mathematics, as it allows individuals to solve complex problems and understand spatial concepts more effectively. Improving spatial visualization ability can enhance problem-solving skills and overall cognitive performance.
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Is spatial visualization important for engineers?
Yes, spatial visualization is important for engineers as it allows them to mentally manipulate and understand complex 3D objects and structures. Engineers often need to design and analyze various components and systems, and spatial visualization skills help them to conceptualize and communicate their ideas effectively. Whether it's designing a new product, creating blueprints for a building, or solving complex problems, spatial visualization is a crucial skill that allows engineers to think critically and innovate in their field.
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Can one improve their spatial visualization skills?
Yes, it is possible to improve spatial visualization skills through practice and training. Engaging in activities such as puzzles, building models, and playing spatial reasoning games can help develop these skills. Additionally, practicing mental rotation exercises and regularly challenging oneself with spatial tasks can also contribute to improvement. With consistent effort and dedication, individuals can enhance their spatial visualization abilities over time.
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What are problems with spatial visualization skills?
Some problems with spatial visualization skills include difficulty in understanding and interpreting maps, graphs, and diagrams. Individuals with poor spatial visualization skills may struggle with tasks such as navigating through unfamiliar environments, understanding 3D objects, and mentally rotating objects. This can impact their performance in subjects such as math, science, and engineering, as well as in everyday activities such as driving and assembling furniture. Additionally, poor spatial visualization skills can lead to frustration and decreased confidence in one's abilities.
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Healthcare Industry 4.0 : Computer Vision-Aided Data Analytics
This book covers computer vision-based applications in digital healthcare industry 4.0, including different computer vision techniques, image classification, image segmentations, and object detection.Various application case studies from domains such as science, engineering, and social networking are introduced, along with their architecture and how they leverage various technologies, such as edge computing and cloud computing.It also covers applications of computer vision in tumor detection, cancer detection, combating COVID-19, and patient monitoring. Features:Provides a state-of-the-art computer vision application in the digital health care industryReviews advances in computer vision and data science technologies for analyzing information on human function and disabilityIncludes practical implementation of computer vision application using recent tools and softwareExplores computer vision-enabled medical/clinical data security in the cloudIncludes case studies from the leading computer vision integrated vendors like Amazon, Microsoft, IBM, and GoogleThis book is aimed at researchers and graduate students in bioengineering, intelligent systems, and computer science and engineering.
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Data Analytics for Business Intelligence : A Multi-Industry Approach
This book studies data, analytics, and intelligence using Boolean structure.Chapters dive into the theories, foundations, technologies, and methods of data, analytics, and intelligence. The primary aim of this book is to convey the theories and technologies of data, analytics, and intelligence with applications to readers based on systematic generalization and specialization.Sun uses the Boolean structure to deconstruct all books and papers related to data, analytics, and intelligence and to reorganize them to reshape the world of big data, data analytics, analytics intelligence, data science, and artificial intelligence.Multi-industry applications in business, management, and decision-making are provided.Cutting-edge theories, technologies, and applications of data, analytics, and intelligence and their integration are also explored.Overall, this book provides original insights on sharing computing, insight computing, platform computing, a calculus of intelligent analytics and intelligent business analytics, meta computing, data analyticizing, DDPP (descriptive, diagnostic, predictive, and prescriptive) computing, and analytics. This book is a useful resource with multi-industry applications for scientists, engineers, data analysts, educators, and university students.
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Plunkett's Internet of Things (IoT) & Data Analytics Industry Almanac 2023
This carefully researched book covers exciting trends in the dynamic technologies and business sectors of the Internet of Things (IoT) and Machine-to-Machine Communications (M2M).Many industries have put IoT and networked M2M sensors or nodes to work and continue to invest very heavily in advanced research and development (R&D).Today, IoT has synergies with many highly advanced technologies such as artificial intelligence, agtech, transportation equipment, industrial equipment, controls, automation, wireless networks and predictive analytics.This book includes complete details on the innovative, disruptive technologies based on IoT and M2M, plus our analysis of the practical applications of IoT that will lead to exciting new products and services over the mid-term.This reference tool includes statistical tables and thorough market discussions, as well as our highly respected trends analysis.It contains thousands of contacts for business and industry leaders, industry associations, Internet sites and other resources.The corporate section includes our proprietary, in-depth profiles of over 300 leading companies in all facets of IoT, both public and private, U.S. and international. Here you'll find complete profiles of companies that are making news today--the largest, most successful corporations in the IoT business and related sectors.You'll find a complete overview, industry analysis and market research report in one superb, value-priced package.
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Industry
Nathan Micay has provided the full original score to the new HBO series 'Industry' - centred on young graduates of mixed backgrounds, entering the cut-throat world of London finance. LuckyMe release the original soundtrack alongside new bonus dance edits. Nathan Micay's title track channels the spirit of Tangerine Dream and Jean-Michel Jarre, also blending euphoric trance and dream pop with excerpts of the characters' dialogue, creating a celestial mezzanine that both compliments the TV show, and excels as standalone art.
Price: 25.99 £ | Shipping*: 0.00 £
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What is the function of spatial visualization ability?
Spatial visualization ability allows individuals to mentally manipulate and understand spatial relationships between objects. This ability is crucial in fields such as engineering, architecture, and design, where individuals need to visualize and manipulate complex 3D objects and structures. It also plays a key role in tasks such as navigation, map reading, and understanding geometric concepts. Overall, spatial visualization ability is important for problem-solving, creativity, and understanding the physical world.
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In which industry is the automotive industry?
The automotive industry is part of the manufacturing industry. It involves the design, development, production, and sale of vehicles such as cars, trucks, and motorcycles. The industry also includes the manufacturing of vehicle parts and accessories. Additionally, the automotive industry plays a significant role in the global economy and is a major employer worldwide.
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Which industry has a greater future: the aerospace industry or the automotive industry?
The aerospace industry is likely to have a greater future compared to the automotive industry. With advancements in technology, there is a growing demand for space exploration, satellite deployment, and commercial space travel. Additionally, the aerospace industry is constantly evolving with innovations like reusable rockets and supersonic travel. On the other hand, the automotive industry is facing challenges such as transitioning to electric vehicles and autonomous driving, which may impact its growth potential in the long term.
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What is an industry plant in the music industry?
An industry plant in the music industry refers to an artist who is perceived as being artificially created or promoted by the music industry, rather than having built a genuine fan base and career through grassroots efforts. This term is often used to describe artists who are believed to have been strategically marketed and pushed into the spotlight by record labels or other industry insiders, rather than having organically risen to fame through their talent and hard work. Industry plants are often seen as inauthentic or manufactured, and their success is sometimes viewed with skepticism by fans and industry observers.
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