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Showing 1 - 23 of 23 matches in All Departments
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.
The next generation of AI is here—use it to lead your business forward. If you read nothing else on artificial intelligence and machine learning, read these 10 articles. We've combed through hundreds of Harvard Business Review articles and selected the most important ones to help you understand the future direction of AI, bring your AI initiatives to scale, and use AI to transform your organization. This book will inspire you to: Create a new AI strategy Learn to work with intelligent robots Get more from your marketing AI Be ready for ethical and regulatory challenges Understand how generative AI is game changing Stop tinkering with AI and go all in This collection of articles includes "Competing in the Age of AI," by Marco Iansiti and Karim R. Lakhani; "How to Win with Machine Learning," by Ajay Agrawal, Joshua Gans, and Avi Goldfarb; "Developing a Digital Mindset," by Tsedal Neeley and Paul Leonardi; "Learning to Work with Intelligent Machines," by Matt Beane; "Getting AI to Scale," by Tim Fountaine, Brian McCarthy, and Tamim Saleh; "Why You Aren't Getting More from Your Marketing AI," by Eva Ascarza, Michael Ross, and Bruce G. S. Hardie; "The Pitfalls of Pricing Algorithms," by Marco Bertini and Oded Koenigsberg; "A Smarter Strategy for Using Robots," by Ben Armstrong and Julie Shah; "Why You Need an AI Ethics Committee," by Reid Blackman; "Robots Need Us More Than We Need Them," by H. James Wilson and Paul R. Daugherty; "Stop Tinkering with AI," by Thomas H. Davenport and Nitin Mittal; and "ChatGPT Is a Tipping Point for AI," by Ethan Mollick. 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.
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.
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.
Is your company ready for the next wave of analytics? Data analytics offer the opportunity to predict the future, use advanced technologies, and gain valuable insights about your business. But unless you're staying on top of the latest developments, your company is wasting that potential--and your competitors will be gaining speed while you fall behind. Strategic Analytics: The Insights You Need from Harvard Business Review will provide you with today's essential thinking about what data analytics are capable of, what critical talents your company needs to reap their benefits, and how to adopt analytics throughout your organization--before it's too late. 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.
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.
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 teams Engage customers and employees alike with the help of artificial intelligence Channel your outrage about sexual harassment in the workplace into effective action Consider how CEO activism can generate goodwill for your company--and weigh its risks Pair data with qualitative research to increase diversity in your organization Remain competitive in a hub economy by using your company's assets and capabilities differently This 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.
From two pioneers in business analytics, an update of the classic book on how analytics and business intelligence are transforming competition and how leading organizations build and compete on an analytical capability.The first book to describe how analytics are changing the business landscape, updated with new information on predictive analytics, AI, and automation.Describes the specific attributes of firms that are analytical competitors and how they use business intelligence and analytics to make better decisions, execute more effectively, and optimize businesses processes.Lays out a five-stage model for becoming an analytical competitor and developing analytical capabilities.Show how companies are applying analytics across the enterprise: from finance and HR, to R&D and manufacturing.Shows how analytics transform relationships between customers and suppliers.Presents the key steps and capabilities for becoming an analytical competitor.Audience:Managers in all functional areas in organizations of all kinds (not strictly IT).Senior leaders who want to build an analytic capability in their organization and drive an enterprise-wide approach to analytics.Consultants.Vendors of analytical solutions and services.
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 is a book about creating information systems within firms that will truly give managers the information they need to make informed business decisions. The author contends that information is part of an ecological system in which it undergoes a process of evolution and adaptation to the requirements of the local users. The book explains ecological planning tools that guide managers to develop information systems to meet their changing needs.
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.
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.
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 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 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.
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.
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.
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 teams - Engage customers and employees alike with the help of artificial intelligence - Channel your outrage about sexual harassment in the workplace into effective action - Consider how CEO activism can generate goodwill for your company--and weigh its risks - Pair data with qualitative research to increase diversity in your organization - Remain competitive in a hub economy by using your company's assets and capabilities differently
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.
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.
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.
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