Data Analytics for Pandemics

Data Analytics for Pandemics
Author: Gitanjali Rahul Shinde,Asmita Balasaheb Kalamkar,Parikshit N. Mahalle,Nilanjan Dey
Publsiher: CRC Press
Total Pages: 68
Release: 2020-08-30
ISBN 10: 1000204413
ISBN 13: 9781000204414
Language: EN, FR, DE, ES & NL

Data Analytics for Pandemics Book Review:

Epidemic trend analysis, timeline progression, prediction, and recommendation are critical for initiating effective public health control strategies, and AI and data analytics play an important role in epidemiology, diagnostic, and clinical fronts. The focus of this book is data analytics for COVID-19, which includes an overview of COVID-19 in terms of epidemic/pandemic, data processing and knowledge extraction. Data sources, storage and platforms are discussed along with discussions on data models, their performance, different big data techniques, tools and technologies. This book also addresses the challenges in applying analytics to pandemic scenarios, case studies and control strategies. Aimed at Data Analysts, Epidemiologists and associated researchers, this book: discusses challenges of AI model for big data analytics in pandemic scenarios; explains how different big data analytics techniques can be implemented; provides a set of recommendations to minimize infection rate of COVID-19; summarizes various techniques of data processing and knowledge extraction; enables users to understand big data analytics techniques required for prediction purposes.

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 10: 9780323810562
ISBN 13: 032381056X
Language: EN, FR, DE, ES & NL

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

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.

Decision Intelligence For Dummies

Decision Intelligence For Dummies
Author: Pamela Baker
Publsiher: John Wiley & Sons
Total Pages: 320
Release: 2022-02-08
ISBN 10: 1119824842
ISBN 13: 9781119824848
Language: EN, FR, DE, ES & NL

Decision Intelligence For Dummies Book Review:

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 10: 1799887952
ISBN 13: 9781799887959
Language: EN, FR, DE, ES & NL

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

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 10: 1799882330
ISBN 13: 9781799882336
Language: EN, FR, DE, ES & NL

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

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 10: 3030936201
ISBN 13: 9783030936204
Language: EN, FR, DE, ES & NL

Big Data Analytics Book Review:

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.

Heterogeneous Data Management Polystores and Analytics for Healthcare

Heterogeneous Data Management  Polystores  and Analytics for Healthcare
Author: Vijay Gadepally,Timothy Mattson,Michael Stonebraker,Tim Kraska,Fusheng Wang,Gang Luo,Jun Kong,Alevtina Dubovitskaya
Publsiher: Springer Nature
Total Pages: 233
Release: 2021-03-03
ISBN 10: 3030710556
ISBN 13: 9783030710552
Language: EN, FR, DE, ES & NL

Heterogeneous Data Management Polystores and Analytics for Healthcare Book Review:

This book constitutes revised selected papers from two VLDB workshops: The International Workshop on Polystore Systems for Heterogeneous Data in Multiple Databases with Privacy and Security Assurances, Poly 2020, and the 6th International Workshop on Data Management and Analytics for Medicine and Healthcare, DMAH 2020, which were held virtually on August 31 and September 4, 2020. For Poly 2020, 4 full and 3 short papers were accepted from 10 submissions; and for DMAH 2020, 7 full and 2 short papers were accepted from a total of 15 submissions. The papers were organized in topical sections as follows: Privacy, Security and/or Policy Issues for Heterogenous Data; COVID-19 Data Analytics and Visualization; Deep Learning based Biomedical Data Analytics; NLP based Learning from Unstructured Data; Biomedical Data Modelling and Prediction.

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 10: 303065785X
ISBN 13: 9783030657857
Language: EN, FR, DE, ES & NL

Information and Communication Technologies in Tourism 2021 Book Review:

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.

Online Learning Analytics

Online Learning Analytics
Author: Jay Liebowitz
Publsiher: CRC Press
Total Pages: 270
Release: 2021-12-14
ISBN 10: 1000539008
ISBN 13: 9781000539004
Language: EN, FR, DE, ES & NL

Online Learning Analytics Book Review:

"In our increasingly digitally enabled education world, analytics used ethically, strategically, and with care holds the potential to help more and more diverse students be more successful on higher education journeys than ever before. Jay Liebowitz and a cadre of the fields best ‘good trouble’ makers in this space help shine a light on the possibilities, potential challenges, and the power of learning together in this work." —Mark David Milliron, Ph.D., Senior Vice President and Executive Dean of the Teachers College, Western Governors University Due to the COVID-19 pandemic and its aftereffects, we have begun to enter the "new normal" of education. Instead of online learning being an "added feature" of K–12 schools and universities worldwide, it will be incorporated as an essential feature in education. There are many questions and concerns from parents, students, teachers, professors, administrators, staff, accrediting bodies, and others regarding the quality of virtual learning and its impact on student learning outcomes. Online Learning Analytics is conceived on trying to answer the questions of those who may be skeptical about online learning. Through better understanding and applying learning analytics, we can assess how successful learning and student/faculty engagement, as examples, can contribute towards producing the educational outcomes needed to advance student learning for future generations. Learning analytics has proven to be successful in many areas, such as the impact of using learning analytics in asynchronous online discussions in higher education. To prepare for a future where online learning plays a major role, this book examines: Data insights for improving curriculum design, teaching practice, and learning Scaling up learning analytics in an evidence-informed way The role of trust in online learning. Online learning faces very real philosophical and operational challenges. This book addresses areas of concern about the future of education and learning. It also energizes the field of learning analytics by presenting research on a range of topics that is broad and recognizes the humanness and depth of educating and learning.

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 10: 2889746321
ISBN 13: 9782889746323
Language: EN, FR, DE, ES & NL

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

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 10: 1000574431
ISBN 13: 9781000574432
Language: EN, FR, DE, ES & NL

How Data Can Manage Global Health Pandemics Book Review:

"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 10: 1529737249
ISBN 13: 9781529737240
Language: EN, FR, DE, ES & NL

Applied Data Analysis for Urban Planning and Management Book Review:

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.

VUCA in Start ups

VUCA in Start ups
Author: Dr. Aseem Chauhan, Prof. (Dr.) Manoj Joshi, Prof. (Dr.) Ashok Kumar & Suhayl Abidi
Publsiher: Jaico Publishing House
Total Pages: 300
Release: 2021-12-25
ISBN 10: 9391019315
ISBN 13: 9789391019310
Language: EN, FR, DE, ES & NL

VUCA in Start ups Book Review:

How to Thrive as a Start-Up in an Uncertain World What motivates a start-up in its journey? Wealth and fame? Or is it hunger for innovation? VUCA in Start-Ups attempts to capture a start-up’s entrepreneurial journey and find out why some do well when others don’t. It’s a highly volatile environment out there for entrepreneurs and start-ups, thanks to the unprecedented Covid-19 crisis filled with volatility, uncertainty, complexity and ambiguity (VUCA). Many businesses that did well in the past had to shut shop as a result. So what went wrong? To find the answer, it’s important to understand what worked in the past and why a new venture must discover fresh and innovative opportunities to survive. Learn from those who chose the road less travelled, including Zomato, Paytm, Flipkart, Ola Cabs and Quikr, and discover the underlying causes for start-up successes and failures. These well-researched case studies aim to inspire those who wish to embark on an entrepreneurial journey.

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 10: 3030633071
ISBN 13: 9783030633073
Language: EN, FR, DE, ES & NL

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

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.

Applied Big Data Analytics and Its Role in COVID 19 Research

Applied Big Data Analytics and Its Role in COVID 19 Research
Author: Peng Zhao,Xin Wang,Chen, Xi
Publsiher: Unknown
Total Pages: 135
Release: 2022
ISBN 10: 9781799887942
ISBN 13: 1799887944
Language: EN, FR, DE, ES & NL

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

"This book provides emerging research on the development and implementation of real-world cases in big data analytics for various industrial and public sections including healthcare, business, social media, and government by highlighting topics such as data processing, deep learning, statistical inference, data visualization, and decision support systems"--

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 10: 3030552586
ISBN 13: 9783030552589
Language: EN, FR, DE, ES & NL

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

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.

Computational Modeling and Data Analysis in COVID 19 Research

Computational Modeling and Data Analysis in COVID 19 Research
Author: Chhabi Rani Panigrahi,Bibudhendu Pati,Mamata Rath,Rajkumar Buyya
Publsiher: CRC Press
Total Pages: 270
Release: 2021-05-10
ISBN 10: 1000384977
ISBN 13: 9781000384970
Language: EN, FR, DE, ES & NL

Computational Modeling and Data Analysis in COVID 19 Research Book Review:

This book covers recent research on the COVID-19 pandemic. It includes the analysis, implementation, usage, and proposed ideas and models with architecture to handle the COVID-19 outbreak. Using advanced technologies such as artificial intelligence (AI) and machine learning (ML), techniques for data analysis, this book will be helpful to mitigate exposure and ensure public health. We know prevention is better than cure, so by using several ML techniques, researchers can try to predict the disease in its early stage and develop more effective medications and treatments. Computational technologies in areas like AI, ML, Internet of Things (IoT), and drone technologies underlie a range of applications that can be developed and utilized for this purpose. Because in most cases there is no one solution to stop the spreading of pandemic diseases, and the integration of several tools and tactics are needed. Many successful applications of AI, ML, IoT, and drone technologies already exist, including systems that analyze past data to predict and conclude some useful information for controlling the spread of COVID-19 infections using minimum resources. The AI and ML approach can be helpful to design different models to give a predictive solution for mitigating infection and preventing larger outbreaks. This book: Examines the use of artificial intelligence (AI), machine learning (ML), Internet of Things (IoT), and drone technologies as a helpful predictive solution for controlling infection of COVID-19 Covers recent research related to the COVID-19 pandemic and includes the analysis, implementation, usage, and proposed ideas and models with architecture to handle a pandemic outbreak Examines the performance, implementation, architecture, and techniques of different analytical and statistical models related to COVID-19 Includes different case studies on COVID-19 Dr. Chhabi Rani Panigrahi is Assistant Professor in the Department of Computer Science at Rama Devi Women’s University, Bhubaneswar, India. Dr. Bibudhendu Pati is Associate Professor and Head of the Department of Computer Science at Rama Devi Women’s University, Bhubaneswar, India. Dr. Mamata Rath is Assistant Professor in the School of Management (Information Technology) at Birla Global University, Bhubaneswar, India. Prof. Rajkumar Buyya is a Redmond Barry Distinguished Professor and Director of the Cloud Computing and Distributed Systems (CLOUDS) Laboratory at the University of Melbourne, Australia.

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 10: 1633697630
ISBN 13: 9781633697638
Language: EN, FR, DE, ES & NL

Competing in the Age of AI Book Review:

"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.

Omni Channel Retail and the Supply Chain

Omni Channel Retail and the Supply Chain
Author: Paul Myerson
Publsiher: CRC Press
Total Pages: 266
Release: 2020-11-25
ISBN 10: 1000264440
ISBN 13: 9781000264449
Language: EN, FR, DE, ES & NL

Omni Channel Retail and the Supply Chain Book Review:

The days of going to the local department store to buy a television, view the options available and make a purchase, now seem "quaint." The emergence of the internet, smart phones, social media, and other technologies has opened a world of new options for consumers (and businesses) to review, research, and buy online with an ever-increasing array of delivery options. The emergence of e-commerce has resulted in what is commonly known today as "omni-channel" marketing, in which customers engage with companies in a variety of ways, including in a physical store, online via websites and mobile apps. This process puts the supply chain "front and center" as consumers are increasingly demanding and browse, buy, and return goods through various channels and not just the traditional "brick and mortar" way. To accomplish this with high levels of service while remaining profitable, requires real-time visibility of inventory across the supply chain and a single view of the consumer as they continuously move from one channel to another. While this is a boon to consumers, it has made the already complex global supply chain even more challenging to manage. On top of that, the 2020 Covid19 Pandemic has accelerated this omni-channel retail trend as consumers need even more ways to order and additional options for last mile delivery, such as curbside pickup. Covid19 has exposed the lack of flexibility and readiness resulting in shortages of everything from toilet paper and meats to "PPE" (personal protective equipment) and ventilators, due to a variety of capacity and inventory allocation issues. It has been a real-life example of the "bullwhip effect", where variability at the consumer end of the supply chain results in increased variability as you go upstream towards distributors, manufacturers, and suppliers. This results in shortages, misallocation, and increased costs. No longer can a manufacturer, distributor, or retailer of consumer products just "fill the pipeline" and wait for orders to come in. Now they must anticipate the various purchase and delivery items, while at the same time minimize costs. To do this is no easy task, requiring a Lean, agile, and responsive supply chain. Until now, there was no existing "playbook" for organizations to navigate their way through this new world. This book describes the impact of omni-channel marketing on the supply chain and logistics functions, and is intended to help management meet the needs of not only today’s ever-changing world but to anticipate what may be required in the future to achieve superior customer service, profitability, and a competitive advantage.

Efficient Data Handling for Massive Internet of Medical Things

Efficient Data Handling for Massive Internet of Medical Things
Author: Chinmay Chakraborty,Uttam Ghosh,Vinayakumar Ravi,Yogesh Shelke
Publsiher: Springer Nature
Total Pages: 388
Release: 2021-09-01
ISBN 10: 3030666336
ISBN 13: 9783030666330
Language: EN, FR, DE, ES & NL

Efficient Data Handling for Massive Internet of Medical Things Book Review:

This book focuses on recent advances and different research areas in multi-modal data fusion under healthcare informatics and seeks out theoretical, methodological, well-established and validated empirical work dealing with these different topics. This book brings together the latest industrial and academic progress, research, and development efforts within the rapidly maturing health informatics ecosystem. Contributions highlight emerging data fusion topics that support prospective healthcare applications. The book also presents various technologies and concerns regarding energy aware and secure sensors and how they can reduce energy consumption in health care applications. It also discusses the life cycle of sensor devices and protocols with the help of energy-aware design, production, and utilization, as well as the Internet of Things technologies such as tags, sensors, sensing networks, and Internet technologies. In a nutshell, this book gives a comprehensive overview of the state-of-the-art theories and techniques for massive data handling and access in medical data and smart health in IoT, and provides useful guidelines for the design of massive Internet of Medical Things.