Thomas H. Davenport

Jeanne G. Harris

The New Science of Winning

Competing on Analytics

Harvard Business Review

Erik Brynjolfsson

Andrew McAfee

H. James Wilson

Companies that don't use AI will soon be obsolete. From making faster, better decisions to automating rote work to enabling robots to respond to emotions, AI and machine learning are already reshaping business and society. What should you and your company be doing today to ensure that you're poised for success and keeping up with your competitors in the age of AI? Artificial Intelligence: The Insights You Need from Harvard Business Review brings you today's most essential thinking on AI and explains how to launch the right initiatives at your company to capitalize on the opportunity of the machine intelligence revolution. Business is changing. Will you adapt or be left behind? Get up to speed and deepen your understanding of the topics that are shaping your company's future with the Insights You Need from Harvard Business Review series. Featuring HBR's smartest thinking on fast-moving issues--blockchain, cybersecurity, AI, and more--each book provides the foundational introduction and practical case studies your organization needs to compete today and collects the best research, interviews, and analysis to get it ready for tomorrow. You can't afford to ignore how these issues will transform the landscape of business and society. The Insights You Need series will help you grasp these critical ideas--and prepare you and your company for the future.

The Insights You Need from Harvard Business Review

Artificial Intelligence

Jinho Kim

A renowned thought-leader and a professor of statistics team up to provide the essential tools for enhancing thinking and decision-making in today's workplace in order to be more competitive and successful. 25,000 first printing.

Your Guide to Understanding and Using Analytics

Keeping Up with the Quants

Professor Department of Management Information School of Management Thomas H Davenport

In Thinking for a Living, Thomas Davenport contends that knowledge workers are vastly different from other types of workers in their motivations, attitudes, and need for autonomy - and thus require unconventional management techniques if they are to be more productive. Based on extensive research involving more than one hundred companies and six hundred knowledge workers, Thinking for a Living provides insights into how knowledge workers think, how they accomplish tasks, and what motivates them to excel. Davenport identifies four major categories of knowledge workers - transaction, integration, expert, and collaborative - and presents a framework for matching each category with management strategies that yield the greatest performance.

How to Get Better Performance and Results from Knowledge Workers

Thinking for a Living

John C. Beck

Thought provoking -Time Magazine Welcome to the attention economy, in which the new scarcest resource isn't ideas or talent, but attention itself. This groundbreaking book argues that today's businesses are headed for disaster-unless they overcome the dangerously high attention deficits that threaten to cripple today's workplace. Learn to manage this critical yet finite resource, or fail! "A worthy message" -Publishers Weekly AUTHORBIO: Thomas H. Davenport is the Director of the Accenture Institute for Strategic Change and author of Process Innovation and Working Knowledge, Harvard Business School Press. John C. Beck is an Associate Partner and Senior Research Fellow at the Accenture Institute for Strategic Change.

Understanding the New Currency of Business

The Attention Economy

Robert S. Kaplan

David P. Norton

ROBERT S AUTOR KAPLAN

Robert E. Kaplan

David P.. Norton

The authors of "The Balanced Scorecard" and "The Strategy-Focused Organization" present a blueprint any organization can follow to align processes, people, and information technology for superior performance.

Converting Intangible Assets Into Tangible Outcomes

Strategy Maps

Nitin Mittal

A fascinating look at the trailblazing companies using artificial intelligence to create new competitive advantage, from the author of the business classic, Competing on Analytics, and the head of Deloitte's US AI practice. Though most organizations are placing modest bets on artificial intelligence, there is a world-class group of companies that are going all-in on the technology and radically transforming their products, processes, strategies, customer relationships, and cultures. Though these organizations represent less than 1 percent of large companies, they are all high performers in their industries. They have better business models, make better decisions, have better relationships with their customers, offer better products and services, and command higher prices. Written by bestselling author Tom Davenport and Deloitte's Nitin Mittal, All-In on AI looks at artificial intelligence at its cutting edge from the viewpoint of established companies like Anthem, Ping An, Airbus, and Capital One. Filled with insights, strategies, and best practices, All-In on AI also provides leaders and their teams with the information they need to help their own companies take AI to the next level. If you're curious about the next phase in the implementation of artificial intelligence within companies, or if you're looking to adopt this powerful technology in a more robust way yourself, All-In on AI will give you a rare inside look at what the leading adopters are doing, while providing you with the tools to put AI at the core of everything you do.

How Smart Companies Win Big with Artificial Intelligence

All-in On AI

Michael E. Porter

Paul Daugherty

Intelligent machines are revolutionizing business. Machine learning and data analytics are powering a wave of groundbreaking technologies. Is your company ready? If you read nothing else on how intelligent machines are revolutionizing business, read these 10 articles. We've combed through hundreds of Harvard Business Review articles and selected the most important ones to help you understand how these technologies work together, how to adopt them, and why your strategy can't ignore them. In this book you'll learn how: Data science, driven by artificial intelligence and machine learning, is yielding unprecedented business insights Blockchain has the potential to restructure the economy Drones and driverless vehicles are becoming essential tools 3-D printing is making new business models possible Augmented reality is transforming retail and manufacturing Smart speakers are redefining the rules of marketing Humans and machines are working together to reach new levels of productivity This collection of articles includes "Artificial Intelligence for the Real World," by Thomas H. Davenport and Rajeev Ronanki; "Stitch Fix's CEO on Selling Personal Style to the Mass Market," by Katrina Lake; "Algorithms Need Managers, Too," by Michael Luca, Jon Kleinberg, and Sendhil Mullainathan; "Marketing in the Age of Alexa," by Niraj Dawar; "Why Every Organization Needs an Augmented Reality Strategy," by Michael E. Porter and James E. Heppelmann; "Drones Go to Work," by Chris Anderson; "The Truth About Blockchain," by Marco Iansiti and Karim R. Lakhani; "The 3-D Printing Playbook," by Richard A. D’Aveni; "Collaborative Intelligence: Humans and AI Are Joining Forces," by H. James Wilson and Paul R. Daugherty; "When Your Boss Wears Metal Pants," by Walter Frick; and "Managing Our Hub Economy," by Marco Iansiti and Karim R. Lakhani.

HBR's 10 Must Reads on AI, Analytics, and the New Machine Age (with bonus article "Why Every Company Needs an Augmented Reality Strategy" by Michael E. Porter and James E. Heppelmann)

"International Institute for Analytics"--Dust jacket.

Optimize Performance, Process, and Decisions Through Big Data

Enterprise Analytics

En un mundo donde las bases tradicionales de la ventaja competitiva se han evaporado en gran medida, ¿cómo destacar la actuación de su empresa de la del resto? Utilice la inteligencia analítica para tomar mejores decisiones y sacar el máximo valor de sus procesos empresariales. En Competing on Analytics: Inteligencia competitiva para ganar, Thomas H. Davenport y Jeanne G. Harris sostienen que la frontera hasta donde se utilizan los datos ha cambiado de forma espectacular. Las compañías líderes están haciendo algo más que simplemente recoger y almacenar información en grandes cantidades. Están construyendo sus estrategias competitivas alrededor de nuevos conocimientos basados en datos que a su vez están generando unos resultados de negocio impresionantes. ¿Su arma secreta? La inteligencia analítica: análisis cuantitativos y cualitativos sofisticados y modelos de predicción respaldados por expertos en el manejo de los datos y una potente tecnología de la información. ¿Por qué la competitividad basada en la inteligencia analítica? En una época en que las empresas de muchos sectores de actividad ofrecen productos similares y emplean tecnologías parecidas, los procesos de gestión de negocio distintivos se cuentan entre los últimos aspectos diferenciales que aún siguen vigentes. Muchas bases previas de competitividad –como la ventaja geográfica o una normativa protectora– han sido erosionados por la globalización. Las tecnologías propias y exclusivas se copian con rapidez, y las innovaciones importantes en productos o servicios son cada vez más difíciles de lograr.

Inteligencia competitiva para ganar

Competing on analytics

Why Everyone Needs Analytical Skills Welcome to the age of data. No matter your interests (sports, movies, politics), your industry (finance, marketing, technology, manufacturing), or the type of organization you work for (big company, nonprofit, small start-up)—your world is awash with data. As a successful manager today, you must be able to make sense of all this information. You need to be conversant with analytical terminology and methods and able to work with quantitative information. This book promises to become your “quantitative literacy" guide—helping you develop the analytical skills you need right now in order to summarize data, find the meaning in it, and extract its value. In Keeping Up with the Quants, authors, professors, and analytics experts Thomas Davenport and Jinho Kim offer practical tools to improve your understanding of data analytics and enhance your thinking and decision making. You’ll gain crucial skills, including: • How to formulate a hypothesis • How to gather and analyze relevant data • How to interpret and communicate analytical results • How to develop habits of quantitative thinking • How to deal effectively with the “quants” in your organization Big data and the analytics based on it promise to change virtually every industry and business function over the next decade. If you don’t have a business degree or if you aren’t comfortable with statistics and quantitative methods, this book is for you. Keeping Up with the Quants will give you the skills you need to master this new challenge—and gain a significant competitive edge.

In The AI Advantage, Thomas Davenport offers a guide to using artificial intelligence in business. He describes what technologies are available and how companies can use them for business benefits and competitive advantage. He cuts through the hype of the AI craze--remember when it seemed plausible that IBM's Watson could cure cancer?--to explain how businesses can put artificial intelligence to work now, in the real world. His key recommendation: don't go for the "moonshot" (curing cancer, or synthesizing all investment knowledge); look for the "low-hanging fruit" to make your company more efficient. Davenport describes the major AI technologies and explains how they are being used, reports on the AI work done by large commercial enterprises like Amazon and Google, and outlines strategies and steps to becoming a cognitive corporation. This book provides an invaluable guide to the real-world future of business AI.

How to Put the Artificial Intelligence Revolution to Work

The AI Advantage

Ram Charan

“คุณรู้หรือไม่ เหตุใดผู้นำเก่งๆ จึงตัดสินใจเชิงธุรกิจผิดพลาด?” การตัดสินใจทางธุรกิจ (Making Smart Decisions) เป็นหนึ่งในหนังสือชุด "คัมภีร์สำหรับผู้บริหารจากมหาวิทยาลัยฮาร์วาร์ด" ที่ได้รวบรวมสุดยอดกลยุทธ์และคำแนะนำจากผู้เชี่ยวชาญด้านการตัดสินใจเชิงธุรกิจอันชาญฉลาดและทรงประสิทธิผล หนังสือเล่มนี้จะทำให้คุณรู้ทันหลุมพลางทางความคิดที่ดักรอกระบวนการตัดสินใจ การตัดสินใจเชิงธุรกิจที่ให้ผลดีกว่าเดิม รู้จักเทคนิคเลือกใช้ข้อมูลประกอบการตัดสินใจ และวิธีเพิ่มประสิทธิภาพในการทำงานขององค์กรด้วยการกำหนดหน้าที่การตัดสินใจให้ชัดเจน • รู้ทันหลุมพรางทางความคิดที่เป็นกับดักกระบวนการตัดสินใจ • การตัดสินใจเชิงธุรกิจที่ให้ผลดี ถูกต้อง และชัดเจน • เทคนิคเลิกใช้ข้อมูลประกอบการตัดสินใจ • วิธีเพิ่มประสิทธิภาพในการทำงานขององค์กรด้วยการกำหนดหน้าที่การตัดสินใจให้ชัดเจน

Harvard Business Review On Making Smart Decisions

การตัดสินใจทางธุรกิจ

Steven M. Miller

Two management and technology experts show that AI is not a job destroyer, exploring worker-AI collaboration in real-world work settings. This book breaks through both the hype and the doom-and-gloom surrounding automation and the deployment of artificial intelligence-enabled—“smart”—systems at work. Management and technology experts Thomas Davenport and Steven Miller show that, contrary to widespread predictions, prescriptions, and denunciations, AI is not primarily a job destroyer. Rather, AI changes the way we work—by taking over some tasks but not entire jobs, freeing people to do other, more important and more challenging work. By offering detailed, real-world case studies of AI-augmented jobs in settings that range from finance to the factory floor, Davenport and Miller also show that AI in the workplace is not the stuff of futuristic speculation. It is happening now to many companies and workers. These cases include a digital system for life insurance underwriting that analyzes applications and third-party data in real time, allowing human underwriters to focus on more complex cases; an intelligent telemedicine platform with a chat-based interface; a machine learning-system that identifies impending train maintenance issues by analyzing diesel fuel samples; and Flippy, a robotic assistant for fast food preparation. For each one, Davenport and Miller describe in detail the work context for the system, interviewing job incumbents, managers, and technology vendors. Short “insight” chapters draw out common themes and consider the implications of human collaboration with smart systems.

Real Stories of Human-Machine Collaboration

Working with AI

Laurence Prusak

Explores where new ideas come from, how to evaluate which ideas are worth pursuing, and how to customize ideas to suit and organization's unique needs.

Creating and Capitalizing on the Best Management Thinking

What's the Big Idea?

Normal 0 false false false MicrosoftInternetExplorer4 The Definitive Guide to Enterprise-Level Analytics Strategy, Technology, Implementation, and Management Organizations are capturing exponentially larger amounts of data than ever, and now they have to figure out what to do with it. Using analytics, you can harness this data, discover hidden patterns, and use this knowledge to act meaningfully for competitive advantage. Suddenly, you can go beyond understanding “how, when, and where” events have occurred, to understand why – and use this knowledge to reshape the future. Now, analytics pioneer Tom Davenport and the world-renowned experts at the International Institute for Analytics (IIA) have brought together the latest techniques, best practices, and research on analytics in a single primer for maximizing the value of enterprise data. Enterprise Analytics is today’s definitive guide to analytics strategy, planning, organization, implementation, and usage. It covers everything from building better analytics organizations to gathering data; implementing predictive analytics to linking analysis with organizational performance. The authors offer specific insights for optimizing supply chains, online services, marketing, fraud detection, and many other business functions. They support their powerful techniques with many real-world examples, including chapter-length case studies from healthcare, retail, and financial services. Enterprise Analytics will be an invaluable resource for every business and technical professional who wants to make better data-driven decisions: operations, supply chain, and product managers; product, financial, and marketing analysts; CIOs and other IT leaders; data, web, and data warehouse specialists, and many others.

Rita Gunther McGrath

Marco Iansiti

Become a digital-first organization—and avoid disruption. If you read nothing else on the principles and practices that lead to successful digital transformation, read these 10 articles. We've combed through hundreds of Harvard Business Review articles and selected the most important ones to help you reinvent your digital strategy, overcome barriers to change, and win in the continuously connected world. This book will inspire you to: Devise an industry-transforming business model Minimize risk using discovery-driven transformation Leverage torrents of data more strategically Prepare your employees for the future of work Prioritize the right initiatives Compete in the age of AI This collection of articles includes "Discovery-Driven Digital Transformation," by Rita McGrath and Ryan McManus; "The Transformative Business Model," by Stelios Kavadias, Kostas Ladas, and Christoph Loch; "Digital Doesn't Have to Be Disruptive," by Nathan Furr and Andrew Shipilov; "What's Your Data Strategy?," by Leandro DalleMule and Thomas H. Davenport; "Competing in the Age of AI," by Marco Iansiti and Karim R. Lakhani; "Building the AI-Powered Organization," by Tim Fountaine, Brian McCarthy, and Tamim Saleh; "How Smart, Connected Products Are Transforming Companies," by Michael E. Porter and James E. Heppelmann; "The Age of Continuous Connection," by Nicolaj Siggelkow and Christian Terwiesch; "The Problem with Legacy Ecosystems," by Maxwell Wessel, Aaron Levie, and Robert Siegel; "Your Workforce Is More Adaptable Than You Think," by Joseph B. Fuller, Judith K. Wallenstein, Manjari Raman, and Alice de Chalendar; "How Apple Is Organized for Innovation," by Joel M. Podolny and Morten T. Hansen; and "Digital Transformation Comes Down to Talent in Four Key Areas," by Thomas H. Davenport and Thomas C. Redman. HBR's 10 Must Reads paperback series is the definitive collection of books for new and experienced leaders alike. Leaders looking for the inspiration that big ideas provide, both to accelerate their own growth and that of their companies, should look no further. HBR's 10 Must Reads series focuses on the core topics that every ambitious manager needs to know: leadership, strategy, change, managing people, and managing yourself. Harvard Business Review has sorted through hundreds of articles and selected only the most essential reading on each topic. Each title includes timeless advice that will be relevant regardless of an ever‐changing business environment.

HBR's 10 Must Reads on Leading Digital Transformation (with bonus article "How Apple Is Organized for Innovation" by Joel M. Podolny and Morten T. Hansen)

Brook Manville

Your guide to making better decisions Despite the dizzying amount of data at our disposal today—and an increasing reliance on analytics to make the majority of our decisions—many of our most critical choices still come down to human judgment. This fact is fundamental to organizations whose leaders must often make crucial decisions: to do this they need the best available insights. In Judgment Calls, authors Tom Davenport and Brook Manville share twelve stories of organizations that have successfully tapped their data assets, diverse perspectives, and deep knowledge to build an organizational decision-making capability—a competence they say can make the difference between success and failure. This book introduces a model that taps the collective judgment of an organization so that the right decisions are made, and the entire organization profits. Through the stories in Judgment Calls, the authors—both of them seasoned management thinkers and advisers—make the case for the wisdom of organizations and suggest ways to use it to best advantage. Each chapter tells a unique story of one dilemma and its ultimate resolution, bringing into high relief one key to the power of collective judgment. Individually, these stories inspire and instruct; together, they form a model for building an organizational capacity for broadly based, knowledge-intensive decision making. You’ve read The Wisdom of Crowds and Competing on Analytics. Now read Judgment Calls. You, and your organization, will make better decisions.

Thomas H. Davenport

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