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.

Data and Analytics Strategy for Business

Data and Analytics Strategy for Business
Author: Simon Asplen-Taylor
Publsiher: Kogan Page Publishers
Total Pages: 135
Release: 2022-06-03
ISBN 10: 1398606065
ISBN 13: 9781398606067
Language: EN, FR, DE, ES & NL

Data and Analytics Strategy for Business Book Review:

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.

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.

Healthcare Analytics

Healthcare Analytics
Author: Edward M. Rafalski,Ross M. Mullner
Publsiher: CRC Press
Total Pages: 264
Release: 2022-08-09
ISBN 10: 1000619958
ISBN 13: 9781000619959
Language: EN, FR, DE, ES & NL

Healthcare Analytics Book Review:

The first COVID-19 case in the US was reported on January 20, 2020. As the first cases were being reported in the US, Washington State became a reliable source not just for hospital bed demand based on incidence and community spread but also for modeling the impact of skilled nursing facilities and assisted living facilities on hospital bed demand. Various hospital bed demand modeling efforts began in earnest across the United States in university settings, private consulting and health systems. Nationally, the University of Washington Institute of Health Metrics and Evaluation seemed to gain a footing and was adopted as a source for many states for its ability to predict the epidemiological curve by state, including the peak. This book therefore addresses a compelling need for documenting what has been learned by the academic and professional healthcare communities in healthcare analytics and disaster preparedness to this point in the pandemic. What is clear, at least from the US perspective, is that the healthcare system was unprepared and uncoordinated from an analytics perspective. Learning from this experience will only better prepare all healthcare systems and leaders for future crisis. Both prospectively, from a modeling perspective and retrospectively from a root cause analysis perspective, analytics provide clarity and help explain causation and data relationships. A more structured approach to teaching healthcare analytics to students, using the pandemic and the rich dataset that has been developed, provides a ready-made case study from which to learn and inform disaster planning and preparedness. The pandemic has strained the healthcare and public health systems. Researchers and practitioners must learn from this crisis to better prepare our processes for future pandemics, at minimum. Finally, government officials and policy makers can use this data to decide how best to assist the healthcare and public health systems in crisis.

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.

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.

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:

Data Management Analytics and Innovation

Data Management  Analytics and Innovation
Author: Saptarsi Goswami,Inderjit Singh Barara,Amol Goje,C. Mohan,Alfred M. Bruckstein
Publsiher: Springer Nature
Total Pages: 715
Release: 2022-09-21
ISBN 10: 981192600X
ISBN 13: 9789811926006
Language: EN, FR, DE, ES & NL

Data Management Analytics and Innovation Book Review:

This book presents the latest findings in the areas of data management and smart computing, big data management, artificial intelligence, and data analytics, along with advances in network technologies. The book is a collection of peer-reviewed research papers presented at Sixth International Conference on Data Management, Analytics and Innovation (ICDMAI 2022), held virtually during January 14–16, 2022. It addresses state-of-the-art topics and discusses challenges and solutions for future development. Gathering original, unpublished contributions by scientists from around the globe, the book is mainly intended for a professional audience of researchers and practitioners in academia and industry.

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.

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.

Data Analytics for Coronavirus Disease covid 19 Outbreak

Data Analytics for Coronavirus Disease  covid 19  Outbreak
Author: Gitanjali Rahul Shinde
Publsiher: Unknown
Total Pages: 88
Release: 2020-08-31
ISBN 10: 9780367558468
ISBN 13: 0367558467
Language: EN, FR, DE, ES & NL

Data Analytics for Coronavirus Disease covid 19 Outbreak 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.

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.

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: 175
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. Now with a new preface that explores how the coronavirus crisis compelled organizations such as Massachusetts General Hospital, Verizon, and IKEA to transform themselves with remarkable speed, 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.