Decision Intelligence For Dummies

Decision Intelligence For Dummies
Author: Pamela Baker
Publsiher: John Wiley & Sons
Total Pages: 320
Release: 2022-02-08
ISBN: 1119824842
Category: Computers
Language: EN, FR, DE, ES & NL

Decision Intelligence For Dummies Book Excerpt:

Learn to use, and not be used by, data to make more insightful decisions The availability of data and various forms of AI unlock countless possibilities for business decision makers. But what do you do when you feel pressured to cede your position in the decision-making process altogether? Decision Intelligence For Dummies pumps the brakes on the growing trend to take human beings out of the decision loop and walks you through the best way to make data-informed but human-driven decisions. The book shows you how to achieve maximum flexibility by using every available resource, and not just raw data, to make the most insightful decisions possible. In this timely book, you’ll learn to: Make data a means to an end, rather than an end in itself, by expanding your decision-making inquiries Find a new path to solid decisions that includes, but isn’t dominated, by quantitative data Measure the results of your new framework to prove its effectiveness and efficiency and expand it to a whole team or company Perfect for business leaders in technology and finance, Decision Intelligence For Dummies is ideal for anyone who recognizes that data is not the only powerful tool in your decision-making toolbox. This book shows you how to be guided, and not ruled, by the data.

Applied Big Data Analytics and Its Role in COVID 19 Research

Applied Big Data Analytics and Its Role in COVID 19 Research
Author: Zhao, Peng,Chen, Xi
Publsiher: IGI Global
Total Pages: 349
Release: 2022-04-29
ISBN: 1799887952
Category: Computers
Language: EN, FR, DE, ES & NL

Applied Big Data Analytics and Its Role in COVID 19 Research Book Excerpt:

There has been a multitude of studies focused on the COVID-19 pandemic across fields and disciplines as all sectors of life have had to adjust the way things are done and adapt to the constantly shifting environment. These studies are crucial as they provide support and perspectives on how things are changing and what needs to be done to stay afloat. Connecting COVID-19-related studies and big data analytics is crucial for the advancement of industrial applications and research areas. Applied Big Data Analytics and Its Role in COVID-19 Research introduces the most recent industrial applications and research topics on COVID-19 with big data analytics. Featuring coverage on a broad range of big data technologies such as data gathering, artificial intelligence, smart diagnostics, and mining mobility, this publication provides concrete examples and cases of usage of data-driven projects in COVID-19 research. This reference work is a vital resource for data scientists, technical managers, researchers, scholars, practitioners, academicians, instructors, and students.

Handbook of Research on the Impacts and Implications of COVID 19 on the Tourism Industry

Handbook of Research on the Impacts and Implications of COVID 19 on the Tourism Industry
Author: Demir, Mahmut,Dalg?ç, Ali,Ergen, Fatma Do?anay
Publsiher: IGI Global
Total Pages: 906
Release: 2021-06-25
ISBN: 1799882330
Category: Business & Economics
Language: EN, FR, DE, ES & NL

Handbook of Research on the Impacts and Implications of COVID 19 on the Tourism Industry Book Excerpt:

The tourism sector has been deeply affected particularly in economic terms by the COVID-19 pandemic. This crisis has led to new practices and radical changes. Scientists emphasize that mankind will face pandemics more frequently in the forthcoming years. Thus, it is important to understand the negative impacts the COVID-19 pandemic had on the tourism sector as well as the measures that were and are being put in place to protect the industry during future outbreaks. The Handbook of Research on the Impacts and Implications of COVID-19 on the Tourism Industry is a comprehensive reference source that reflects upon the evaluations of the experienced and ongoing pandemic crisis in the context of the tourism sector. The positive and negative effects experienced by tourism employees and tourists are examined, and post-pandemic processes and business practices are evaluated. Covering topics including consumer rights in tourism, dynamic changes in the tourism industry, and employment in tourism, this book is suitable for travel agencies, restaurateurs, hotel managers, brand managers, marketers, advertisers, managers, executives, hospitality personnel, policymakers, government officials, tourism practitioners, students, academicians, and researchers seeking the latest sustainable policies and practices that are being utilized to increase the productivity of the tourism sector and will allow it to thrive in the years to come.

Big Data Analytics

Big Data Analytics
Author: Satish Narayana Srirama,Jerry Chun-Wei Lin,Raj Bhatnagar,Sonali Agarwal,P. Krishna Reddy
Publsiher: Springer Nature
Total Pages: 355
Release: 2022-01-01
ISBN: 3030936201
Category: Computers
Language: EN, FR, DE, ES & NL

Big Data Analytics Book Excerpt:

This book constitutes the proceedings of the 8th International Conference on Big Data Analytics, BDA 2021, which took place during December 2021. Due to COVID-19 pandemic the conference was held virtually. The 16 full and 3 short papers included in this volume were carefully reviewed and selected from 41 submissions. The contributions were organized in topical sections named as follows: medical and health applications; machine/deep learning; IoTs, sensors, and networks; fundamentation; pattern mining and data analytics.

What Big Data Can Tell Us About the Psychology of Learning and Teaching

What Big Data Can Tell Us About the Psychology of Learning and Teaching
Author: Ronnel B. King,Jiesi Guo,Ching Sing Chai
Publsiher: Frontiers Media SA
Total Pages: 135
Release: 2022-03-09
ISBN: 2889746321
Category: Science
Language: EN, FR, DE, ES & NL

What Big Data Can Tell Us About the Psychology of Learning and Teaching Book Excerpt:

Information and Communication Technologies in Tourism 2021

Information and Communication Technologies in Tourism 2021
Author: Wolfgang Wörndl,Chulmo Koo,Jason L. Stienmetz
Publsiher: Springer Nature
Total Pages: 581
Release: 2021-01-11
ISBN: 303065785X
Category: Business & Economics
Language: EN, FR, DE, ES & NL

Information and Communication Technologies in Tourism 2021 Book Excerpt:

This open access book is the proceedings of the International Federation for IT and Travel & Tourism (IFITT)’s 28th Annual International eTourism Conference, which assembles the latest research presented at the [email protected] virtual conference January 19–22, 2021. This book advances the current knowledge base of information and communication technologies and tourism in the areas of social media and sharing economy, technology including AI-driven technologies, research related to destination management and innovations, COVID-19 repercussions, and others. Readers will find a wealth of state-of-the-art insights, ideas, and case studies on how information and communication technologies can be applied in travel and tourism as we encounter new opportunities and challenges in an unpredictable world.

What Can Data and Analytics Tell Us About COVID 19

What Can Data and Analytics Tell Us About COVID 19
Author: Soraya Sedkaoui, PhD
Publsiher: Elsevier
Total Pages: 250
Release: 2021-06
ISBN: 9780323810562
Category: Medical
Language: EN, FR, DE, ES & NL

What Can Data and Analytics Tell Us About COVID 19 Book Excerpt:

Throughout history, data and analytics have had a profound impact on human health-including isolating the source of London's cholera epidemic in the 1850s and promotion of new routine practices such as hand washing following the Crimean War. What Can Data and Analytics Tell Us About COVID-19? explores the power of analytics to shed light on the novel coronavirus that has threatened the health and economic welfare of people across the globe. This text familiarizes readers with different concepts related to data science, big data technology, and the various applications of machine learning algorithms for analyzing the available data on the global problem related to COVID-19. Covers how different methods, techniques, and powerful tools of data science and machine learning can be utilized to analyze and understand COVID-19. Features chapters on machine learning algorithms and patterns for COVID-19, data visualization and COVID-19 geography, patterns of confirmed cases, and more. Includes ample case studies. Consolidates today's available information on this timely topic into a single, convenient resource.

How Data Can Manage Global Health Pandemics

How Data Can Manage Global Health Pandemics
Author: Rupa Mahanti
Publsiher: CRC Press
Total Pages: 232
Release: 2022-05-16
ISBN: 1000574431
Category: Business & Economics
Language: EN, FR, DE, ES & NL

How Data Can Manage Global Health Pandemics Book Excerpt:

"This book bridges the fields of health care and data to clarify how to use data to manage pandemics. Written while COVID-19 was raging, it identifies both effective practices and misfires, and is grounded in clear, research-based explanations of pandemics and data strategy....The author has written an essential book for students and professionals in both health care and data. While serving the needs of academics and experts, the book is accessible for the general reader." – Eileen Forrester, CEO of Forrester Leadership Group, Author of CMMI for Services, Guidelines for Superior Service "...Rupa Mahanti explores the connections between data and the human response to the spread of disease in her new book,... She recognizes the value of data and the kind of insight it can bring, while at the same time recognizing that using data to solve problems requires not just technology, but also leadership and courage. This is a book for people who want to better understand the role of data and people in solving human problems." -- Laura Sebastian-Coleman, Author of Meeting the Challenges of Data Quality Management In contrast to the 1918 Spanish flu pandemic which occurred in a non-digital age, the timing of the COVID-19 pandemic intersects with the digital age, characterized by the collection of large amounts of data and sophisticated technologies. Data and technology are being used to combat this digital age pandemic in ways that were not possible in the pre-digital age. Given the adverse impacts of pandemics in general and the COVID-19 pandemic in particular, it is imperative that people understand the meaning, origin of pandemics, related terms, trajectory of a new disease, butterfly effect of contagious diseases, factors governing the pandemic potential of a disease, strategies to combat a pandemic, role of data, data sharing, data strategy, data governance, analytics, and data visualization in managing pandemics, pandemic myths, critical success factors in managing pandemics, and lessons learned. How Data Can Manage Global Health Pandemics: Analyzing and Understanding COVID-19 discusses these elements with special reference to COVID-19. Dr. Rupa Mahanti is a business and data consultant and has expertise in different data management disciplines, business process improvement, regulatory reporting, quality management, and more. She is the author of Data Quality (ASQ Quality Press) and the series Data Governance: The Way Forward (Springer).

Applied Data Analysis for Urban Planning and Management

Applied Data Analysis for Urban Planning and Management
Author: Alasdair Rae,Cecilia Wong
Publsiher: SAGE
Total Pages: 192
Release: 2021-09-08
ISBN: 1529737249
Category: Political Science
Language: EN, FR, DE, ES & NL

Applied Data Analysis for Urban Planning and Management Book Excerpt:

This book showcases the different ways in which contemporary forms of data analysis are being used in urban planning and management. It highlights the emerging possibilities that city-regional governance, technology and data have for better planning and urban management - and discusses how you can apply them to your research. Including perspectives from across the globe, it’s packed with examples of good practice and helps to demystify the process of using big and open data. Learn about different kinds of emergent data sources and how they are processed, visualised and presented. Understand how spatial analysis and GIS are used in city planning. See examples of how contemporary data analytics methods are being applied in a variety of contexts, such as ‘smart’ city management and megacities. Aimed at upper undergraduate and postgraduate students studying spatial analysis and planning, this timely text is the perfect companion to enable you to apply data analytics approaches in your research.

Digital Transformation and Emerging Technologies for Fighting COVID 19 Pandemic Innovative Approaches

Digital Transformation and Emerging Technologies for Fighting COVID 19 Pandemic  Innovative Approaches
Author: Aboul Ella Hassanien,Ashraf Darwish
Publsiher: Springer Nature
Total Pages: 310
Release: 2021-03-10
ISBN: 3030633071
Category: Technology & Engineering
Language: EN, FR, DE, ES & NL

Digital Transformation and Emerging Technologies for Fighting COVID 19 Pandemic Innovative Approaches Book Excerpt:

This book is one of the first books that deal with the COVID-19 pandemic. COVID-19 pandemic has affected countries all over the world and has made a significant impact on daily life and healthcare facilities and treatment systems. The book covers the main recent emerging technologies that are related to the COVID-19 crisis. The technologies that are included in this book play a significant role in tackling COVID-19 in the future. The scope of this book is to cover all advanced emerging technologies and artificial intelligence techniques to fight against COVID-19 pandemic.

Coronavirus News Markets and AI

Coronavirus News  Markets and AI
Author: Pankaj Sharma
Publsiher: Taylor & Francis
Total Pages: 234
Release: 2020-12-27
ISBN: 1000327442
Category: Computers
Language: EN, FR, DE, ES & NL

Coronavirus News Markets and AI Book Excerpt:

Coronavirus News, Markets and AI explores the analysis of unstructured data from coronavirus-related news and the underlying sentiment during its real-time impact on the world and on global financial markets, in particular. In an age where information - both real and fake - travels in the blink of an eye and significantly alters market sentiment daily, this book is a blow by blow account of economic impact of the COVID-19 pandemic. The volume: Details how AI driven machines capture, analyse and score relevant on-ground news sentiment to analyse the dynamics of market sentiment, how markets react to good or bad news across ‘short term’ and ‘long term’; Investigates what have been the most prevalent news sentiment during the pandemic, and its linkages to crude oil prices, high profile cases, impact of local news, and even the impact of Trump’s policies; Discusses the impact on what people think and discuss, how the COVID-19 crisis differs from the Global Financial Crisis of 2008, the unprecedented disruptions in supply chains and our daily lives; Showcases how easy accessibility to big data methods, cloud computing, and computational methods and the universal applicability of these tool to any topic can help analyse extract the related news sentiment in allied fields. Accessible, nuanced and insightful, this book will be invaluable for business professionals, bankers, media professionals, traders, investors, and investment consultants. It will also be of great interest to scholars and researchers of economics, commerce, science and technology studies, computer science, media and culture studies, public policy and digital humanities.

Big Data Analytics and Artificial Intelligence Against COVID 19 Innovation Vision and Approach

Big Data Analytics and Artificial Intelligence Against COVID 19  Innovation Vision and Approach
Author: Aboul-Ella Hassanien,Nilanjan Dey,Sally Elghamrawy
Publsiher: Springer Nature
Total Pages: 307
Release: 2020-10-12
ISBN: 3030552586
Category: Computers
Language: EN, FR, DE, ES & NL

Big Data Analytics and Artificial Intelligence Against COVID 19 Innovation Vision and Approach Book Excerpt:

This book includes research articles and expository papers on the applications of artificial intelligence and big data analytics to battle the pandemic. In the context of COVID-19, this book focuses on how big data analytic and artificial intelligence help fight COVID-19. The book is divided into four parts. The first part discusses the forecasting and visualization of the COVID-19 data. The second part describes applications of artificial intelligence in the COVID-19 diagnosis of chest X-Ray imaging. The third part discusses the insights of artificial intelligence to stop spread of COVID-19, while the last part presents deep learning and big data analytics which help fight the COVID-19.

Competing in the Age of AI

Competing in the Age of AI
Author: Marco Iansiti,Karim R. Lakhani
Publsiher: Harvard Business Press
Total Pages: 288
Release: 2020-01-07
ISBN: 1633697630
Category: Business & Economics
Language: EN, FR, DE, ES & NL

Competing in the Age of AI Book Excerpt:

"a provocative new book" -- The New York Times AI-centric organizations exhibit a new operating architecture, redefining how they create, capture, share, and deliver value. Marco Iansiti and Karim R. Lakhani show how reinventing the firm around data, analytics, and AI removes traditional constraints on scale, scope, and learning that have restricted business growth for hundreds of years. From Airbnb to Ant Financial, Microsoft to Amazon, research shows how AI-driven processes are vastly more scalable than traditional processes, allow massive scope increase, enabling companies to straddle industry boundaries, and create powerful opportunities for learning--to drive ever more accurate, complex, and sophisticated predictions. When traditional operating constraints are removed, strategy becomes a whole new game, one whose rules and likely outcomes this book will make clear. Iansiti and Lakhani: Present a framework for rethinking business and operating models Explain how "collisions" between AI-driven/digital and traditional/analog firms are reshaping competition, altering the structure of our economy, and forcing traditional companies to rearchitect their operating models Explain the opportunities and risks created by digital firms Describe the new challenges and responsibilities for the leaders of both digital and traditional firms Packed with examples--including many from the most powerful and innovative global, AI-driven competitors--and based on research in hundreds of firms across many sectors, this is your essential guide for rethinking how your firm competes and operates in the era of AI.

Handbook of Research on Engineering Business and Healthcare Applications of Data Science and Analytics

Handbook of Research on Engineering  Business  and Healthcare Applications of Data Science and Analytics
Author: Patil, Bhushan,Vohra, Manisha
Publsiher: IGI Global
Total Pages: 583
Release: 2020-10-23
ISBN: 1799830543
Category: Computers
Language: EN, FR, DE, ES & NL

Handbook of Research on Engineering Business and Healthcare Applications of Data Science and Analytics Book Excerpt:

Analyzing data sets has continued to be an invaluable application for numerous industries. By combining different algorithms, technologies, and systems used to extract information from data and solve complex problems, various sectors have reached new heights and have changed our world for the better. The Handbook of Research on Engineering, Business, and Healthcare Applications of Data Science and Analytics is a collection of innovative research on the methods and applications of data analytics. While highlighting topics including artificial intelligence, data security, and information systems, this book is ideally designed for researchers, data analysts, data scientists, healthcare administrators, executives, managers, engineers, IT consultants, academicians, and students interested in the potential of data application technologies.

Computational Intelligence Methods in COVID 19 Surveillance Prevention Prediction and Diagnosis

Computational Intelligence Methods in COVID 19  Surveillance  Prevention  Prediction and Diagnosis
Author: Khalid Raza
Publsiher: Springer Nature
Total Pages: 436
Release: 2020-10-16
ISBN: 9811585342
Category: Technology & Engineering
Language: EN, FR, DE, ES & NL

Computational Intelligence Methods in COVID 19 Surveillance Prevention Prediction and Diagnosis Book Excerpt:

The novel coronavirus disease 2019 (COVID-19) pandemic has posed a major threat to human life and health. This book is beneficial for interdisciplinary students, researchers, and professionals to understand COVID-19 and how computational intelligence can be used for the purpose of surveillance, control, prevention, prediction, diagnosis, and potential treatment of the disease. The book contains different aspects of COVID-19 that includes fundamental knowledge, epidemic forecast models, surveillance and tracking systems, IoT- and IoMT-based integrated systems for COVID-19, social network analysis systems for COVID-19, radiological images (CT, X-ray) based diagnosis system, and computational intelligence and in silico drug design and drug repurposing methods against COVID-19 patients. The contributing authors of this volume are experts in their fields and they are from various reputed universities and institutions across the world. This volume is a valuable and comprehensive resource for computer and data scientists, epidemiologists, radiologists, doctors, clinicians, pharmaceutical professionals, along with graduate and research students of interdisciplinary and multidisciplinary sciences.

Data Analytics Computational Statistics and Operations Research for Engineers

Data Analytics  Computational Statistics  and Operations Research for Engineers
Author: Debabrata Samanta,SK Hafizul Islam,Naveen Chilamkurti,Mohammad Hammoudeh
Publsiher: CRC Press
Total Pages: 296
Release: 2022-04-05
ISBN: 1000550427
Category: Technology & Engineering
Language: EN, FR, DE, ES & NL

Data Analytics Computational Statistics and Operations Research for Engineers Book Excerpt:

With the rapidly advancing fields of Data Analytics and Computational Statistics, it’s important to keep up with current trends, methodologies, and applications. This book investigates the role of data mining in computational statistics for machine learning. It offers applications that can be used in various domains and examines the role of transformation functions in optimizing problem statements. Data Analytics, Computational Statistics, and Operations Research for Engineers: Methodologies and Applications presents applications of computationally intensive methods, inference techniques, and survival analysis models. It discusses how data mining extracts information and how machine learning improves the computational model based on the new information. Those interested in this reference work will include students, professionals, and researchers working in the areas of data mining, computational statistics, operations research, and machine learning.

Data Science for COVID 19

Data Science for COVID 19
Author: Utku Kose,Deepak Gupta,Victor Hugo Costa de Albuquerque,Ashish Khanna
Publsiher: Academic Press
Total Pages: 812
Release: 2021-10-22
ISBN: 0323907709
Category: Science
Language: EN, FR, DE, ES & NL

Data Science for COVID 19 Book Excerpt:

Data Science for COVID-19, Volume 2: Societal and Medical Perspectives presents the most current and leading-edge research into the applications of a variety of data science techniques for the detection, mitigation, treatment and elimination of the COVID-19 virus. At this point, Cognitive Data Science is the most powerful tool for researchers to fight COVID-19. Thanks to instant data-analysis and predictive techniques, including Artificial Intelligence, Machine Learning, Deep Learning, Data Mining, and computational modeling for processing large amounts of data, recognizing patterns, modeling new techniques, and improving both research and treatment outcomes is now possible. Provides a leading-edge survey of Data Science techniques and methods for research, mitigation and the treatment of the COVID-19 virus Integrates various Data Science techniques to provide a resource for COVID-19 researchers and clinicians around the world, including the wide variety of impacts the virus is having on societies and medical practice Presents insights into innovative, data-oriented modeling and predictive techniques from COVID-19 researchers around the world, including geoprocessing and tracking, lab data analysis, and theoretical views on a variety of technical applications Includes real-world feedback and user experiences from physicians and medical staff from around the world for medical treatment perspectives, public safety policies and impacts, sociological and psychological perspectives, the effects of COVID-19 in agriculture, economies, and education, and insights on future pandemics

COVID 19 in the Environment

COVID 19 in the Environment
Author: Deepak Rawtani,Chaudhery Mustansar Hussain,Nitasha Khatri
Publsiher: Elsevier
Total Pages: 368
Release: 2021-09-24
ISBN: 0323902731
Category: Science
Language: EN, FR, DE, ES & NL

COVID 19 in the Environment Book Excerpt:

COVID-19 in the Environment: Impact, Concerns, and Management of Coronavirus highlights the research and technology addressing COVID-19 in the environment, including the associated fate, transport, and disposal. It examines the impacts of the virus at local, national, and global levels, including both positive and negative environmental impacts and techniques for assessing and managing them. Utilizing case studies, it also presents examples of various issues around handling these impacts, as well as policies and strategies being developed as a result. Organized into six parts, COVID-19 in the Environment begins by presenting the nature of the virus and its transmission in various environmental media, as well as models for reducing the transmission. Section 2 describes methods for monitoring and detecting the virus, whereas Sections 3, 4, and 5 go on to examine the socio-economic impact, the environmental impact and risk, and the waste management impact, respectively. Finally, Section 6 explores the environmental policies and strategies that have comes as a result of COVID-19, the implications for climate change, and what the long-term effects will be on environmental sustainability. Examines the fate, transport, and management of COVID-19 and COVID-19 related waste in the environment Explores a variety of issues related to the environmental handling and impacts of COVID-19, particularly utilizing case studies Offers tools and techniques for assessing real-time environmental issues related to COVID-19

Data Analytics

Data Analytics
Author: Adedeji B. Badiru
Publsiher: CRC Press
Total Pages: 246
Release: 2020-12-23
ISBN: 1000297357
Category: Technology & Engineering
Language: EN, FR, DE, ES & NL

Data Analytics Book Excerpt:

Good data analytics is the basis for effective decisions. Whoever has the data, has the ability to extract information promptly and effectively to make pertinent decisions. The premise of this handbook is to empower users and tool developers with the appropriate collection of formulas and techniques for data analytics and to serve as a quick reference to keep pertinent formulas within fingertip reach of readers. This handbook includes formulas that will appeal to mathematically inclined readers. It discusses how to use data analytics to improve decision-making and is ideal for those new to using data analytics to show how to expand their usage horizon. It provides quantitative techniques for modeling pandemics, such as COVID-19. It also adds to the suite of mathematical tools for emerging technical areas. This handbook is a handy reference for researchers, practitioners, educators, and students in areas such as industrial engineering, production engineering, project management, civil engineering, mechanical engineering, technology management, and business management worldwide.

Artificial Intelligence for COVID 19

Artificial Intelligence for COVID 19
Author: Diego Oliva,Said Ali Hassan,Ali Mohamed
Publsiher: Springer Nature
Total Pages: 594
Release: 2021-07-19
ISBN: 3030697444
Category: Technology & Engineering
Language: EN, FR, DE, ES & NL

Artificial Intelligence for COVID 19 Book Excerpt:

This book presents a compilation of the most recent implementation of artificial intelligence methods for solving different problems generated by the COVID-19. The problems addressed came from different fields and not only from medicine. The information contained in the book explores different areas of machine and deep learning, advanced image processing, computational intelligence, IoT, robotics and automation, optimization, mathematical modeling, neural networks, information technology, big data, data processing, data mining, and likewise. Moreover, the chapters include the theory and methodologies used to provide an overview of applying these tools to the useful contribution to help to face the emerging disaster. The book is primarily intended for researchers, decision makers, practitioners, and readers interested in these subject matters. The book is useful also as rich case studies and project proposals for postgraduate courses in those specializations.