"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.

This new edition of the Martin book, designed for computer professionals who have insufficient knowledge of telecommunications technology, covers major communications network architectures, analog and digital transmission, and optical fiber transmission systems. Annotation copyrighted by Book News, Inc., Portland, OR

"This book is essential reading for students of software engineering and electronic design and for disciplines from production engineering to process control during project work. It will also be a handy reference book for professional engineers, system designers, consultants and technical support."--Jacket.

A real-world approach to describing the fundamental operation of Policy-Based Network Management (PBNM) that enables practitioners to develop and implement PBNM systems.

This is a first-principles-based, practical introduction to the fundamentals of data science aimed at the mathematically-comfortable reader with some programming skills. The book covers: The important parts of Python to know The important parts of Math / Probability / Statistics to know The basics of data science How commonly-used data science techniques work (learning by implementing them) What is Map-Reduce and how to do it in Python Other applications such as NLP, Network Analysis, and more.

Data Structures & Theory of Computation

Data Structures & Theory of Computation

Alger presents technologies, design strategies, and operational approaches that can help any company improve the energy efficiency and "eco-friendliness" of their IT facilities. He walks step-by-step through "greening" physical construction, power, cooling, and servers; then covers equipment consolidation, virtualization, and much more.

Essays on electronic communication, cyberpunk culture, and rants and flames in cyberspace consider subjects such as the magazine Mondo 2000, the typewriter, virtual reality, feminism, comics, and erotica for cybernauts. Includes blurry b&w photos and illustrations, and an interviews with science fictions writers Samuel R. Delaney, Greg Tate, and Tricia Rose. Paper edition (unseen), $13.95. Annotation copyright by Book News, Inc., Portland, OR.