Thomas H Davenport – författare

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 insightsBlockchain has the potential to restructure the economyDrones and driverless vehicles are becoming essential tools3-D printing is making new business models possibleAugmented reality is transforming retail and manufacturingSmart speakers are redefining the rules of marketingHumans and machines are working together to reach new levels of productivityThis 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.

According to virtually every business writer, we are in the midst of a new "information age," one that will revolutionize how workers work, how companies compete, perhaps even how thinkers think. And it is certainly true that Information Technology has become a giant industry. In America, more that 50% of all capital spending goes into IT, accounting for more than a third of the growth of the entire American economy in the last four years. Over the last decade, IT spending in the U.S. is estimated at 3 trillion dollars. And yet, by almost all accounts, IT hasn't worked all that well. Why is it that so many of the companies that rave invested in these costly new technologies never saw the returns they had hoped for? And why do workers, even CEOs, find it so hard to adjust to new IT systems?In Information Ecology, Thomas Davenport proposes a revolutionary new way to look at information management, one that takes into account the total information environment within an organization. Arguing that the information that comes from computer systems may be considerably less valuable to managers than information that flows in from a variety of other sources, the author describes an approach that encompasses the company's entire information environment, the management of which he calls information ecology. Only when organizations are able to combine and integrate these diverse sources of information, and to take them to a higher level where information becomes knowledge, will they realize the full power of their information ecology. Thus, the author puts people, not technology, at the centre of the information world. Information and knowledge are human creations, he points out, and we will never excel at managing them until we give people a primary role. Citing examples drawn from his own extensive research and consulting including such major firms as A.T. & T., American Express, Ford, General Electric, Hallmark, Hoffman La Roche, IBM, Polaroid, Pacific Bell, and Toshiba Davenport illuminates the critical components of information ecology, and at every step along the way, he provides a quick assessment survey for managers to see how their organization measures up. He discusses the importance of developing an overall strategy for information use; explores the infighting, jealousy over resources, and political battles that can frustrate information sharing; underscores the importance of looking at how people really use information (how they search for it, modify it, share it, hoard it, and even ignore it) and the kinds of information they want; describes the ideal information staff, who not only store and retrive information, but also prune, provide context, enhance style, and choose the right presentation medium (in an age of work overload, vital information must be presented compellingly so the appropriate people recognize and use it); examines how information management should be done on a day to day basis; and presents several alternatives to the machine engineering approach to structuring and modeling information. Davenport makes explicit what many managers already know in their gut: that useful information flow depends on people, not equipment. In Information Ecology he paves the way for all managers to build a more competitive, creative, practical information environment for their companies.

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.

Cutting through the hype, a practical guide to using artificial intelligence for business benefits and competitive advantage.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 explains that the business value AI offers is solid rather than sexy or splashy. AI will improve products and processes and make decisions better informed—important but largely invisible tasks. AI technologies won't replace human workers but augment their capabilities, with smart machines to work alongside smart people. AI can automate structured and repetitive work; provide extensive analysis of data through machine learning (“analytics on steroids”), and engage with customers and employees via chatbots and intelligent agents. Companies should experiment with these technologies and develop their own expertise.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.A book in the Management on the Cutting Edge series, published in cooperation with MIT Sloan Management Review.

This book, first published in 1991, examines the unreligious of America. Most sociologists of religion viewed religious belief and behaviour as having strong positive function for individual well-being – with the implicit assumption that unreligious individuals would lack meaning in life. This book applies statistical approaches to modelling causality as it analyses a controversial topic in American sociology.

This book, first published in 1991, examines the unreligious of America. Most sociologists of religion viewed religious belief and behaviour as having strong positive function for individual well-being – with the implicit assumption that unreligious individuals would lack meaning in life. This book applies statistical approaches to modelling causality as it analyses a controversial topic in American sociology.

The business environment of the 1990s demands significant changes in the way we do business. Simply formulating strategy is no longer sufficient; we must also design the processes to implement it effectively. The key to change is process innovation, a revolutionary new approach that fuses information technology and human resource management to improve business performance. The cornerstone to process innovation's dramatic results is information technology--a largely untapped resource, but a crucial "enabler" of process innovation. In turn, only a challenge like process innovation affords maximum use of information technology's potential. Davenport provides numerous examples of firms that have succeeded or failed in combining business change and technology initiatives. He also highlights the roles of new organizational structures and human resource programs in developing process innovation. Process innovation is quickly becoming the byword for industries ready to pull their companies out of modest growth patterns and compete effectively in the world marketplace.

The definitive primer on knowledge management, this book will establish the enduring vocabulary and concepts and serve as the hands-on resource of choice for fast companies that recognize knowledge as the only sustainable source of competitive advantage. Drawing on their work with more than 30 knowledge-rich firms, the authors - experienced consultants with a track record of success-examine how all types of companies can effectively understand, analyze, measure, and manage their intellectual assets, turning corporate knowledge into market value. They consider such questions as: What key cultural and behavioral issues must managers address to use knowledge effectively? What are the best ways to incorporate technology into knowledge work? What does a successful knowledge project look like - and how do you know when it has succeeded? In the end, say the authors, the human qualities of knowledge - experience, intuition, and beliefs - are the most valuable and the most difficult to manage. Applying the insights of "Working Knowledge" is every manager's first step on that rewarding road to long-term success.

This is a no-nonsense guide to the benefits and pitfalls of enterprise-wide information systems. How many organizations would doubt the promise of an integrated enterprise system (ES)? Not many, judging by a $15 billion industry. The combination of an ES as a platform for organizational information and Internet technology for gaining access to it adds up to the ideal solution for company-wide data sharing in real time. Not surprisingly, small and large companies worldwide are either considering an ES, in the process of implementing one, or living with the results. Yet, says Tom Davenport, unless managers view ES adoption and implementation as a business decision rather than a technology decision, they may be risking disappointment Mission Critical presents an authoritative and no-nonsense view of the ES opportunities and challenges. Suggesting ESs are not the right choice for every company, the author provides a set of guidelines to help managers evaluate the benefits and risks for their organizations. To be successful, argues Davenport, an organization must make simultaneous changes in its information systems, its business processes, and its business strategy.Such changes are described in detail with extensive examples from real organizations. Bolstering his contention that ESs should be viewed as business vs. technology projects, Davenport spells out the specific business change objectives that should be formulated in advance of ES adoption and monitored throughout its implementation. The first strategic guide to the ES decision, Mission Critical will be indispensable to general managers and information technology specialists at all stages of the implementation process.

Supercharge your organization's capacity for innovation The greatest untapped asset in an enterprise today is the ingenuity of its people. Dive into a future of work where technology empowers everyone to be a creator and builder with All Hands on Tech: The Citizen Revolution in Business Technology. This pivotal book offers a comprehensive look into the role of citizen developers—business domain experts who are driving IT-enabled innovation using technology previously reserved for professional technologists. Through case studies of citizens and citizen-enabled enterprises, the authors demonstrate how emerging technology bestows unprecedented power on these individuals and unprecedented value on the organizations that channel their efforts. They outline a transformative approach to citizen development that not only enhances companies' innovative capacity via the empowerment of domain experts, but also minimizes risk and liberates IT departments to pursue more strategic initiatives. All Hands on Tech describes a revolution in work—powered by technology becoming more human and humans becoming more comfortable with technology. This convergence provides a clear pathway for enterprises to leverage the on-the-ground experience and insight of all employees. The authors provide diverse examples of companies that have aligned the work of their citizen developers with wider organizational goals across citizen data science, automation, and development projects. These examples demonstrate why and how to commit to the citizen revolution in your organization. In the book, you'll: Discover the untapped potential of citizen developers to revolutionize business operations with technology democratizationFind a practical framework for integrating citizen development into a broader corporate digital and data strategy, while controlling riskExplore a forward-thinking approach to redefining the roles of all hands in an enterprise, empowering them to turn ideas into applications, automations, and analytical/AI modelsFor business leaders, executives, managers, and IT professionals looking to harness the full potential of their front-line employees and redefine the landscape of IT work, All Hands on Tech is a must-have resource. For business domain specialists and those eager to turn ideas into action, the citizen revolution democratizes information technology and empowers you to lead your organization towards a more innovative and efficient future. For subject matter experts, domain specialists, and those eager to put their ideas to work while also future-proofing their careers with invaluable skills, the citizen revolution ushers in an entirely new way of working.

A practical strategy guide for building profitable customer relationships using the latest AI science and tech The New Science of Customer Relationships: Delivering the One-to-One Promise with AI is a science-based and insightful new approach to integrating the latest generative AI technologies into your company's customer communications. Analytics and marketing experts Thomas Davenport and Jim Sterne walk you through the technology and tools you need to understand, the data you need to collect, the processes you need to implement, and the ethics you need to observe to build an industry-leading customer relationship framework. In the book, you'll learn to create systems that reliably generate smart, persuasive, and hyper-personalized interactions with your company's best customers. You'll also discover how to integrate these systems directly into your firm's existing operations so you can use the tools to realize tangible financial results. Inside the book: Tips for using generative AI to analyze customer responses and extract actionable insights about how they feel and what they thinkSpecific tools and technologies you can use to collect customer data and conduct effective analytics to improve your products and servicesDiscussions of ethical guidelines to guide your organization's data and customer communication practicesPerfect for marketers, sales team leaders, technology professionals, and anyone else responsible for evolving their company's customer relationships, The New Science of Customer Relationships is a hands-on playbook that explains the science of the latest customer communication technologies and walks you through exactly how to implement them.

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.

Go ahead, be skeptical about big data. The author was--at first. When the term "big data" first came on the scene, bestselling author Tom Davenport (Competing on Analytics, Analytics at Work) thought it was just another example of technology hype. But his research in the years that followed changed his mind. Now, in clear, conversational language, Davenport explains what big data means--and why everyone in business needs to know about it. Big Data at Work covers all the bases: what big data means from a technical, consumer, and management perspective; what its opportunities and costs are; where it can have real business impact; and which aspects of this hot topic have been oversold.This book will help you understand: * Why big data is important to you and your organization * What technology you need to manage it * How big data could change your job, your company, and your industry * How to hire, rent, or develop the kinds of people who make big data work * The key success factors in implementing any big data project * How big data is leading to a new approach to managing analytics With dozens of company examples, including UPS, GE, Amazon, United Healthcare, Citigroup, and many others, this book will help you seize all opportunities--from improving decisions, products, and services to strengthening customer relationships. It will show you how to put big data to work in your own organization so that you too can harness the power of this ever-evolving new resource.

Most companies have massive amounts of data at their disposal, yet fail to utilize it in any meaningful way. But a powerful new business tool - analytics - is enabling many firms to aggressively leverage their data in key business decisions and processes, with impressive results. In their previous book, Competing on Analytics, Thomas Davenport and Jeanne Harris showed how pioneering firms were building their entire strategies around their analytical capabilities. Rather than "going with the gut" when pricing products, maintaining inventory, or hiring talent, managers in these firms use data, analysis, and systematic reasoning to make decisions that improve efficiency, risk-management, and profits. Now, in Analytics at Work, Davenport, Harris, and coauthor Robert Morison reveal how any manager can effectively deploy analytics in day-to-day operations--one business decision at a time. They show how many types of analytical tools, from statistical analysis to qualitative measures like systematic behavior coding, can improve decisions about everything from what new product offering might interest customers to whether marketing dollars are being most effectively deployed.Based on all-new research and illustrated with examples from companies including Humana, Best Buy, Progressive Insurance, and Hotels.com, this implementation-focused guide outlines the five-step DELTA model for deploying and succeeding with analytical initiatives. You'll learn how to: * Use data more effectively and glean valuable analytical insights * Manage and coordinate data, people, and technology at an enterprise level * Understand and support what analytical leaders do * Evaluate and choose realistic targets for analytical activity * Recruit, hire, and manage analysts Combining the science of quantitative analysis with the art of sound reasoning, Analytics at Work provides a road map and tools for unleashing the potential buried in your company's data.

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.

This influential book establishes the enduring vocabulary and concepts in the burgeoning field of knowledge management. It serves as the hands-on resource of choice for companies that recognize knowledge as the only sustainable source of competitive advantage going forward. Drawing from their work with more than thirty knowledge-rich firms, Davenport and Prusak--experienced consultants with a track record of success--examine how all types of companies can effectively understand, analyze, measure, and manage their intellectual assets, turning corporate wisdom into market value. They categorize knowledge work into four sequential activities--accessing, generating, embedding, and transferring--and look at the key skills, techniques, and processes of each. While they present a practical approach to cataloging and storing knowledge so that employees can easily leverage it throughout the firm, the authors caution readers on the limits of communications and information technology in managing intellectual capital.

In today's information-flooded world, the scarcest resource is not ideas or even talent: it's attention. In this groundbreaking book, Thomas Davenport and John Beck argue that unless companies learn to effectively capture, manage, and keep it--both internally and out in the marketplace--they'll fall hopelessly behind. In The Attention Economy, the authors also outline four perspectives on managing attention in all areas of business: 1) measuring attention 2) understanding the psychobiology of attention 3) using attention technologies to structure and protect attention 4) adapting lessons from traditional attention industries like advertising Drawing from exclusive global research, the authors show how a few pioneering organizations are turning attention management into a potent competitive advantage and recommend what attention-deprived companies should do to avoid losing employees, customers, and market share. A landmark work on the twenty-first century's new critical competency, this book is for every manager who wants to learn how to earn and spend the new currency of business.

The secrets of successful idea practitioners change management. Reengineering. Knowledge management. Major new management ideas are thrown at today's companies with increasing frequency - and each comes with evangelizing gurus and eager-to-assist implementation consultants. Only a handful of these ideas will be a good fit for your organization. Choose the right idea at the right time and your company can become more efficient, more effective, and more innovative. Choose the wrong one - or jump on the right bandwagon too late - and your company could fall hopelessly behind. Thomas H. Davenport and Laurence Prusak say that some managers have found ways to improve their odds of success in the risky but essential game of idea management. In "What's the Big Idea?, they introduce a largely unsung class of managers they call - idea practitioners - individuals who do the real work of importing and implementing new ideas into businesses.While gurus reap most of the credit when big ideas take flight, Davenport and Prusak's research reveals that idea practitioners actually play the most important role: they turn the right ideas into action.Drawing from decades of consulting, academic, and business experience and from their novel study of more than 100 of these critical change leaders, "What's the Big Idea?" offers tools and frameworks for: assessing the merits of the top business gurus; scanning and tracking emerging ideas in the marketplace; distinguishing promising ideas from rhetoric; refining ideas to suit your organization's particular needs; packaging and selling the idea internally; and ensuring successful implementation.Davenport and Prusak prove that there are no faddish management ideas - only faddish ways of adopting them. Encouraging managers to embrace the power of ideas while avoiding the hype that often accompanies them, this pragmatic guide shows how passion and reason combine to build innovative companies.

Knowledge workers create the innovations and strategies that keep their firms competitive and the economy healthy. Yet, companies continue to manage this new breed of employee with techniques designed for the Industrial Age. As this critical sector of the workforce continues to increase in size and importance, that's a mistake that could cost companies their future. Thomas Davenport argues that knowledge workers are vastly different from other types of workers in their motivations, attitudes, and need for autonomy--and, so, they require different management techniques to improve their performance and productivity. Based on extensive research involving over 100 companies and more than 600 knowledge workers, Thinking for a Living provides rich insights into how knowledge workers think, how they accomplish tasks, and what motivates them to excel. Davenport identifies four major categories of knowledge workers and presents a unique framework for matching specific types of workers with the management strategies that yield the greatest performance.Written by the field's premier thought leader, Thinking for a Living reveals how to maximize the brain power that fuels organizational success. Thomas Davenport holds the President's Chair in Information Technology and Management at Babson College. He is director of research for Babson Executive Education; an Accenture Fellow; and author, co-author, or editor of nine books, including Working Knowledge: How Organizations Manage What They Know (HBS Press, 1997).

A year's worth of management wisdom, all in one place. We've reviewed the ideas, insights, and best practices from the past year of Harvard Business Review to keep you up-to-date on the most cutting-edge, influential thinking driving business today. With authors from Clayton M. Christensen to Adam Grant and company examples from Intel to Uber, this volume brings the most current and important management conversations to your fingertips. This book will inspire you to: * Rethink the way you work in the face of advancing automation * Transform your business using a platform strategy * Apply design thinking to create innovative products * Identify where too much collaboration may be holding your people back * See the theory of disruptive innovation in a brand new light * Recognize the signs that your cross-cultural negotiation may be falling apart This collection of articles includes "Collaborative Overload," by Rob Cross, Reb Rebele, and Adam Grant; "Algorithms Need Managers, Too," by Michael Luca, Jon Kleinberg, and Sendhil Mullainathan; "Pipelines, Platforms, and the New Rules of Strategy," by Marshall W. Van Alstyne, Geoffrey G.Parker, and Sangeet Paul Choudary; "What Is Disruptive Innovation?," by Clayton M. Christensen, Michael Raynor, and Rory McDonald; "How Indra Nooyi Turned Design Thinking into Strategy," an interview with Indra Nooyi by Adi Ignatius; "Engineering Reverse Innovations," by Amos Winter and Vijay Govindarajan; "The Employer-Led Health Care Revolution," by Patricia A. McDonald, Robert S. Mecklenburg, and Lindsay A. Martin; "Getting to Si, Ja, Oui, Hai, and Da," by Erin Meyer; "The Limits of Empathy," by Adam Waytz; "People Before Strategy: A New Role for the CHRO," by Ram Charan, Dominic Barton, and Dennis Carey; and "Beyond Automation," by Thomas H. Davenport and Julia Kirby.

The New Edition of a Business ClassicThis landmark work, the first to introduce business leaders to analytics, reveals how analytics are rewriting the rules of competition.Updated with fresh content, Competing on Analytics provides the road map for becoming an analytical competitor, showing readers how to create new strategies for their organizations based on sophisticated analytics. Introducing a five-stage model of analytical competition, Davenport and Harris describe the typical behaviors, capabilities, and challenges of each stage. They explain how to assess your company’s capabilities and guide it toward the highest level of competition. With equal emphasis on two key resources, human and technological, this book reveals how even the most highly analytical companies can up their game.With an emphasis on predictive, prescriptive, and autonomous analytics for marketing, supply chain, finance, M&A, operations, R&D, and HR, the book contains numerous new examples from different industries and business functions, such as Disney’s vacation experience, Google’s HR, UPS’s logistics, the Chicago Cubs’ training methods, and Firewire Surfboards’ customization. Additional new topics and research include:Data scientists and what they doBig data and the changes it has wroughtHadoop and other open-source software for managing and analyzing dataData products—new products and services based on data and analyticsMachine learning and other AI technologiesThe Internet of Things and its implicationsNew computing architectures, including cloud computingEmbedding analytics within operational systemsVisual analyticsThe business classic that turned a generation of leaders into analytical competitors, Competing on Analytics is the definitive guide for transforming your company’s fortunes in the age of analytics and big data.

A year’s worth of management wisdom, all in one place.We’ve reviewed the ideas, insights, and best practices from the past year of Harvard Business Review to keep you up-to-date on the most cutting-edge, influential thinking driving business today. With authors from Clayton M. Christensen to Adam Grant and company examples from Intel to Uber, this volume brings the most current and important management conversations to your fingertips.This book will inspire you to:Rethink the way you work in the face of advancing automationTransform your business using a platform strategyApply design thinking to create innovative productsIdentify where too much collaboration may be holding your people backSee the theory of disruptive innovation in a brand new lightRecognize the signs that your cross-cultural negotiation may be falling apartThis collection of articles includes “Collaborative Overload,” by Rob Cross, Reb Rebele, and Adam Grant; “Algorithms Need Managers, Too,” by Michael Luca, Jon Kleinberg, and Sendhil Mullainathan; “Pipelines, Platforms, and the New Rules of Strategy,” by Marshall W. Van Alstyne, Geoffrey G. Parker, and Sangeet Paul Choudary; “What Is Disruptive Innovation?,” by Clayton M. Christensen, Michael Raynor, and Rory McDonald; “How Indra Nooyi Turned Design Thinking into Strategy,” an interview with Indra Nooyi by Adi Ignatius; “Engineering Reverse Innovations,” by Amos Winter and Vijay Govindarajan; “The Employer-Led Health Care Revolution,” by Patricia A. McDonald, Robert S. Mecklenburg, and Lindsay A. Martin; “Getting to Sí, Ja, Oui, Hai, and Da,” by Erin Meyer; “The Limits of Empathy,” by Adam Waytz; “People Before Strategy: A New Role for the CHRO,” by Ram Charan, Dominic Barton, and Dennis Carey; and “Beyond Automation,” by Thomas H. Davenport and Julia Kirby.

A year's worth of management wisdom, all in one place.We've reviewed the ideas, insights, and best practices from the past year of Harvard Business Review to keep you up-to-date on the most cutting-edge, influential thinking driving business today. With authors from Thomas H. Davenport to Michael E. Porter and company examples from Facebook to DHL, this volume brings the most current and important management conversations right to your fingertips.This book will inspire you to:Make stronger connections and build greater trust among people who work on multiple teamsEngage customers and employees alike with the help of artificial intelligenceChannel your outrage about sexual harassment in the workplace into effective actionConsider how CEO activism can generate goodwill for your company--and weigh its risksPair data with qualitative research to increase diversity in your organizationRemain competitive in a hub economy by using your company's assets and capabilities differentlyThis collection of articles includes: "The Overcommitted Organization," by Mark Mortensen and Heidi K. Gardner; "Why Do We Undervalue Competent Management?" by Raffaella Sadun, Nicholas Bloom, and John Van Reenen; "'Numbers Take Us Only So Far,'" by Maxine Williams; "The New CEO Activists," by Aaron K. Chatterji and Michael W. Toffel; "Artificial Intelligence for the Real World," by Thomas H. Davenport and Rajeev Ronanki; "Why Every Organization Needs an Augmented Reality Strategy," by Michael E. Porter and James E. Heppelmann; "Thriving in the Gig Economy," by Gianpiero Petriglieri, Susan Ashford, and Amy Wrzesniewski; "Managing Our Hub Economy," by Marco Iansiti and Karim R. Lakhani; "The Leader's Guide to Corporate Culture," by Boris Groysberg, Jeremiah Lee, Jesse Price, and J. Yo-Jud Cheng; "The Error at the Heart of Corporate Leadership," by Joseph L. Bower and Lynn S. Paine; and "Now What?" by Joan C. Williams and Suzanne Lebsock.

A year's worth of management wisdom, all in one place.We've reviewed the ideas, insights, and best practices from the past year of Harvard Business Review to keep you up-to-date on the most cutting-edge, influential thinking driving business today. With authors from Thomas H. Davenport to Michael E. Porter and company examples from Facebook to DHL, this volume brings the most current and important management conversations right to your fingertips.This book will inspire you to:Make stronger connections and build greater trust among people who work on multiple teamsEngage customers and employees alike with the help of artificial intelligenceChannel your outrage about sexual harassment in the workplace into effective actionConsider how CEO activism can generate goodwill for your company--and weigh its risksPair data with qualitative research to increase diversity in your organizationRemain competitive in a hub economy by using your company's assets and capabilities differentlyThis collection of articles includes: "The Overcommitted Organization," by Mark Mortensen and Heidi K. Gardner; "Why Do We Undervalue Competent Management?" by Raffaella Sadun, Nicholas Bloom, and John Van Reenen; "'Numbers Take Us Only So Far,'" by Maxine Williams; "The New CEO Activists," by Aaron K. Chatterji and Michael W. Toffel; "Artificial Intelligence for the Real World," by Thomas H. Davenport and Rajeev Ronanki; "Why Every Organization Needs an Augmented Reality Strategy," by Michael E. Porter and James E. Heppelmann; "Thriving in the Gig Economy," by Gianpiero Petriglieri, Susan Ashford, and Amy Wrzesniewski; "Managing Our Hub Economy," by Marco Iansiti and Karim R. Lakhani; "The Leader's Guide to Corporate Culture," by Boris Groysberg, Jeremiah Lee, Jesse Price, and J. Yo-Jud Cheng; "The Error at the Heart of Corporate Leadership," by Joseph L. Bower and Lynn S. Paine; and "Now What?" by Joan C. Williams and Suzanne Lebsock.

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 insightsBlockchain has the potential to restructure the economyDrones and driverless vehicles are becoming essential tools3-D printing is making new business models possibleAugmented reality is transforming retail and manufacturingSmart speakers are redefining the rules of marketingHumans and machines are working together to reach new levels of productivityThis 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.

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.