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The Digital Matrix


The Digital Matrix
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The Digital Matrix


The Digital Matrix
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Author : Venkat Venkatraman
language : en
Publisher:
Release Date : 2023-02-28

The Digital Matrix written by Venkat Venkatraman and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-02-28 with categories.


This much-anticipated updated edition of this digital-first playbook equips a new generation of leaders to win in a business landscape dominated by disruption. Over the six years since the publication of the first edition of The Digital Matrix, the analysis and predictions presented in the book have played out in the global economy, as more industries have gone digital-first. Some legacy companies have gone under in the interim, while others continue to grapple with the question of how to pull off a life-saving digital transformation. The digital giants and tech entrepreneurs are no longer at the periphery of traditional industries but have emerged as the rule-makers in industries as diverse as financial services, healthcare, media and entertainment, retailing and automotive sectors. The Digital Matrix will help you understand the three types of players that are shaping the new business landscape; the three phases of transformation that every firm will encounter on its journey to business reinvention; and the three winning moves that will ensure your company's success along the way. With The Digital Matrix, you will: Learn to navigate the world of digital ecosystems Discover ways of competing and collaborating with other companies to create and capture value Realize how powerful machines can amplify your company's human talent Learn to assemble the team to experiment with new ideas, re-examine your core beliefs, and reinvent your business rulebook for the digital future In this anticipated second edition, four lessons are worth highlighting: (1) every industry will become digital, sooner rather than later, everywhere in the world; (2) every company will need to become digital to defend today's business model and simultaneously design future business model; (3) every company will face competitive threats from digital giants and born-digital entrepreneurs; and (4) digital transformation is a business leadership challenge, not a technological one. Digital technology has proved to be essential for navigating the uncertainties of work, health, and life during the pandemic; and it will prove to be more central to how companies refine their strategies and business models for the post-pandemic world. The defining challenge for today's generation of managers (who will be tomorrow's leaders) is to prepare their organization to discard the rules perfected in the industrial age and develop their own unique rulebook for their digital future. Your company's future depends on its ability to harness digital technology. Don't wait!



The Digital Matrix


The Digital Matrix
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Author : N Venkat Venkatraman
language : en
Publisher: Penguin Random House India
Release Date : 2017-05-10

The Digital Matrix written by N Venkat Venkatraman and has been published by Penguin Random House India this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-05-10 with Literary Collections categories.


Ambitious digital-driven startups are now creating and cornering new markets in every sector. And yet, most legacy businesses continue to operate by old playbooks. Most are not keeping pace with the changes in their industry, let alone leading the way-what is yours doing? The Digital Matrix will help you understand the three types of players that are shaping the new business landscape; the three phases of transformation that every firm will encounter on its journey to business reinvention; and the three winning moves that will ensure your company's success along the way. With The Digital Matrix, you will: Learn to navigate the world of digital ecosystems. Discover ways of competing and collaborating with other companies to create and capture value. Realize how powerful machines can amplify your company's human talent. Learn to assemble the team to experiment with new ideas, re-examine your core beliefs, and reinvent your business rulebook for the digital future. Your company's future depends on its ability to harness digital technology. Don't wait!



The Digital Matrix


The Digital Matrix
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Author : Venkat Venkatraman
language : en
Publisher:
Release Date : 2017

The Digital Matrix written by Venkat Venkatraman and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017 with Business enterprises categories.




From Industry 4 0 To Business Model 4 0


From Industry 4 0 To Business Model 4 0
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Author : Reinhard Ematinger
language : en
Publisher: Springer Nature
Release Date : 2021-05-25

From Industry 4 0 To Business Model 4 0 written by Reinhard Ematinger and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-05-25 with Business & Economics categories.


In this essential you will learn how to use the changed rules of the game of Industry 4.0 and discover patterns for new business models. Reinhard Ematinger shows you how to describe your current business model in a structured way, sketch and test new business models and define the benefits for existing and new customers. Real and current examples accompany you through this book and questions support you in the transfer to application in your organization. This Springer essential is a translation of the original German 1st edition essentials, Von der Industrie 4.0 zum Geschäftsmodell 4.0 by Reinhard Ematinger, published by Springer Fachmedien Wiesbaden GmbH, part of Springer Nature in 2018.The translation was done with the help of artificial intelligence (machine translation by the service DeepL.com). A subsequent human revision was done primarily in terms of content, so that the book will read stylistically differently from a conventional translation. Springer Nature works continuously to further the development of tools for the production of books and on the related technologies to support the authors.



Matrix Theory


Matrix Theory
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Author : Joel N. Franklin
language : en
Publisher: Courier Corporation
Release Date : 2012-07-31

Matrix Theory written by Joel N. Franklin and has been published by Courier Corporation this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-07-31 with Mathematics categories.


Mathematically rigorous introduction covers vector and matrix norms, the condition-number of a matrix, positive and irreducible matrices, much more. Only elementary algebra and calculus required. Includes problem-solving exercises. 1968 edition.



The Marketing Matrix


The Marketing Matrix
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Author : Gerard Hastings
language : en
Publisher: Routledge
Release Date : 2013

The Marketing Matrix written by Gerard Hastings and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013 with Business & Economics categories.


In this compelling book, Gerard Hastings shines a light on the obsessive marketing techniques that are employed by crack marketing managers worldwide and explains how these not only feed the spectre of ever-growing levels of consumption, but also cause great social, economic and environmental problems. An accessible book which will be of interest across the social sciences and in particular for those marketing students who'd prefer a critical perspective to the standard ritualization of their discipline.



A Matrix Handbook For Statisticians


A Matrix Handbook For Statisticians
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Author : George A. F. Seber
language : en
Publisher: John Wiley & Sons
Release Date : 2008-01-28

A Matrix Handbook For Statisticians written by George A. F. Seber and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-01-28 with Mathematics categories.


A comprehensive, must-have handbook of matrix methods with a unique emphasis on statistical applications This timely book, A Matrix Handbook for Statisticians, provides a comprehensive, encyclopedic treatment of matrices as they relate to both statistical concepts and methodologies. Written by an experienced authority on matrices and statistical theory, this handbook is organized by topic rather than mathematical developments and includes numerous references to both the theory behind the methods and the applications of the methods. A uniform approach is applied to each chapter, which contains four parts: a definition followed by a list of results; a short list of references to related topics in the book; one or more references to proofs; and references to applications. The use of extensive cross-referencing to topics within the book and external referencing to proofs allows for definitions to be located easily as well as interrelationships among subject areas to be recognized. A Matrix Handbook for Statisticians addresses the need for matrix theory topics to be presented together in one book and features a collection of topics not found elsewhere under one cover. These topics include: Complex matrices A wide range of special matrices and their properties Special products and operators, such as the Kronecker product Partitioned and patterned matrices Matrix analysis and approximation Matrix optimization Majorization Random vectors and matrices Inequalities, such as probabilistic inequalities Additional topics, such as rank, eigenvalues, determinants, norms, generalized inverses, linear and quadratic equations, differentiation, and Jacobians, are also included. The book assumes a fundamental knowledge of vectors and matrices, maintains a reasonable level of abstraction when appropriate, and provides a comprehensive compendium of linear algebra results with use or potential use in statistics. A Matrix Handbook for Statisticians is an essential, one-of-a-kind book for graduate-level courses in advanced statistical studies including linear and nonlinear models, multivariate analysis, and statistical computing. It also serves as an excellent self-study guide for statistical researchers.



Designing Matrix Organizations That Actually Work


Designing Matrix Organizations That Actually Work
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Author : Jay R. Galbraith
language : en
Publisher: John Wiley & Sons
Release Date : 2008-12-03

Designing Matrix Organizations That Actually Work written by Jay R. Galbraith and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-12-03 with Business & Economics categories.


Organization structures do not fail, says Jay Galbraith, but management fails at implementing them correctly. This is why, he explains, the idea that the matrix does not work still exists today, even among people who should know better. But the matrix has become a necessary form of organization in today's business environment. Companies now know that if they have multiple product lines, do business in multiple countries, and serve many customer segments through a variety of channels, there is no way they can avoid some kind of a matrix structure and the question most are asking is "How do we learn how to operate the matrix effectively?" In Designing Matrix Organizations That Actually Work, Galbraith answers this and other questions as he shows how to make a matrix work effectively.



A First Course In Random Matrix Theory


A First Course In Random Matrix Theory
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Author : Marc Potters
language : en
Publisher: Cambridge University Press
Release Date : 2020-12-03

A First Course In Random Matrix Theory written by Marc Potters and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-12-03 with Computers categories.


An intuitive, up-to-date introduction to random matrix theory and free calculus, with real world illustrations and Big Data applications.



Matrix Methods In Data Mining And Pattern Recognition


Matrix Methods In Data Mining And Pattern Recognition
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Author : Lars Elden
language : en
Publisher: SIAM
Release Date : 2007-07-12

Matrix Methods In Data Mining And Pattern Recognition written by Lars Elden and has been published by SIAM this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007-07-12 with Computers categories.


Several very powerful numerical linear algebra techniques are available for solving problems in data mining and pattern recognition. This application-oriented book describes how modern matrix methods can be used to solve these problems, gives an introduction to matrix theory and decompositions, and provides students with a set of tools that can be modified for a particular application.Matrix Methods in Data Mining and Pattern Recognition is divided into three parts. Part I gives a short introduction to a few application areas before presenting linear algebra concepts and matrix decompositions that students can use in problem-solving environments such as MATLAB®. Some mathematical proofs that emphasize the existence and properties of the matrix decompositions are included. In Part II, linear algebra techniques are applied to data mining problems. Part III is a brief introduction to eigenvalue and singular value algorithms. The applications discussed by the author are: classification of handwritten digits, text mining, text summarization, pagerank computations related to the GoogleÔ search engine, and face recognition. Exercises and computer assignments are available on a Web page that supplements the book.Audience The book is intended for undergraduate students who have previously taken an introductory scientific computing/numerical analysis course. Graduate students in various data mining and pattern recognition areas who need an introduction to linear algebra techniques will also find the book useful.Contents Preface; Part I: Linear Algebra Concepts and Matrix Decompositions. Chapter 1: Vectors and Matrices in Data Mining and Pattern Recognition; Chapter 2: Vectors and Matrices; Chapter 3: Linear Systems and Least Squares; Chapter 4: Orthogonality; Chapter 5: QR Decomposition; Chapter 6: Singular Value Decomposition; Chapter 7: Reduced-Rank Least Squares Models; Chapter 8: Tensor Decomposition; Chapter 9: Clustering and Nonnegative Matrix Factorization; Part II: Data Mining Applications. Chapter 10: Classification of Handwritten Digits; Chapter 11: Text Mining; Chapter 12: Page Ranking for a Web Search Engine; Chapter 13: Automatic Key Word and Key Sentence Extraction; Chapter 14: Face Recognition Using Tensor SVD. Part III: Computing the Matrix Decompositions. Chapter 15: Computing Eigenvalues and Singular Values; Bibliography; Index.