Thomas H. Davenport

This book provides a perspective on knowledge management at Siemens - an internationally recognised benchmark - by presenting the reader with the best of the corporation's practical applications and experiences. Tom Davenport and Gilbert Probst bring together instructive case studies from different areas that reflect the rich insights gained from years of experience in practising knowledge management. Most of the cases have been updated for the second edition. New cases have been added. The Knowledge Management Case Book provides a comprehensive account of how organisational knowledge assets can be managed effectively. Specific emphasis is given to the development of generic lessons that can be learned from Siemens' experience. The book also offers a roadmap to building a "mature knowledge enterprise", thereby enhancing our understanding of the steps that need to be taken in order to sustain competitive dominance in the knowledge economy. Presenting applications from very different areas, this practice-orientated book is really outstanding in the broad field of KM literature. "Perhaps the most revealing - and interesting - part of the cases in this book is not the analysis of the various knowledge management tools and processes, but the description of their development, of how they come about, of how commitment was gained, of how implementation was led." Yves Doz, The Timken Chaired Professor of Global Technology and Innovation at INSEAD, Fontainebleau "This case book brings insights how our most valuable resource makes those tools happen. I found this book exciting reading, because it is, to my knowledge, the only book where a single company with a wide variety of knowledge management approaches accumulates years of experiences and lessons learned. Edited by two of the leading thinkers in the field of knowledge management, this book will show the way you practise knowledge management in your company." Heinz Fischer, Global Head of HR, Deutsche Bank AG "This book is a rare and valuable description of a single company's knowledge management journey. Siemens has made impressive advances in becoming a knowledge-driven firm, and this volume details many of its directions and waystations." Laurence Prusak, Executive Director, IBM Institute for Knowledge Management "Though there are many books on Knowledge Management, this is a unique one on a sense that it provides practical application of KM rather than the jargon." Sushil, Modi Foundation Chair Professor and Group Chair, Department of Management Studies, Indian Institute of Technology, New Delhi

How to stay ahead in a world transformed by AI. If you read nothing else on artificial intelligence, read this book. We've chosen a new selection of current and classic Harvard Business Review articles that will help you make sense of the evolving generative AI landscape, manage regulation and risk, and develop a strategy that keeps pace with technological change. This book will inspire you to: Help your people and technology work better together Redesign roles, workflows, and capabilities Keep your AI projects on track Address gen AI's quality control and waste problems Harness the potential of agentic AI Embed AI in the core of your business This collection of articles includes "For Success with AI, Bring Everyone on Board," by David De Cremer; "Bring Human Values to AI," by Jacob Abernethy, Francois Candelon, Theodoros Evgeniou, Abhishek Gupta, and Yves Lostanlen; "From Prediction to Transformation," by Ajay Agrawal, Joshua Gans, and Avi Goldfarb; "How AI Can Help Managers Think Through Problems," by Elisa Farri and Gabriele Rosani; "The Gen AI Playbook for Organizations," by Bharat N. Anand and Andy Wu; "Agentic AI Is Already Changing the Workforce," by Jen Stave, Ryan Kurt, and John Winsor; "Keep Your AI Projects on Track," by Iavor Bojinov; "How to Marry Process Management and AI," by Thomas H. Davenport and Thomas C. Redman; "The Hidden Penalty of Using AI at Work," by Oguz A. Acar, Phyliss Jia Gai, Yanping Tu, and Jiayi Hou; "Heavy Machinery Meets AI," by Vijay Govindarajan and Venkat Venkatraman; "AI Is Changing the Structure of Consulting Firms," by David S. Duncan, Tyler Anderson, and Jeffrey Saviano; "Stop Running So Many AI Pilots," by Goutam Challagalla, Mahwesh Khan, and Fabrice Beaulieu; "Addressing Gen AI's Quality-Control Problem," by Stefan Thomke, Philipp Eisenhauer, and Puneet Sahni; "AI's Growing Waste Problem—and How to Solve It," by Samsurin Welch, Khaled Soufani, and Eva Morales; and "Don't Let an AI Failure Harm Your Brand," by Julian De Freitas. HBR's 10 Must Reads are definitive collections of classic ideas, practical advice, and essential thinking from the pages of Harvard Business Review. Exploring topics like disruptive innovation, emotional intelligence, and new technology in our ever-evolving world, these books empower any leader to make bold decisions and inspire others. This Updated and Expanded edition features new, breakthrough articles, additional short-form pieces, and a detailed discussion guide to give you and your team the tools you need for sustained success.

AN LA TIMES BESTSELLER How AI can help the government lead with speed, trust, and impact. “A welcome, centrist guide to implementing AI in governmentÖThe authors’ emphasis on mindful and balanced implementation is refreshing, and the various theories drawn from business, technology, and organizational management provide a solid foundation for their case.” —Kirkus Reviews Artificial Intelligence is reshaping what is possible across every sector—and public service is no exception. Reimagining Government is a bold, practical playbook for harnessing AI to deliver smarter, faster, and more effective outcomes. Inside, you’ll find: · Clear breakdowns of AI opportunities and challenges in the government space · Proven frameworks and maturity models for responsible, scalable adoption · Insights and examples from real-world government innovators · Strategies to transform leadership, culture, and public impact Written for policymakers, technologists, and civic leaders, this book is a guide to making AI work—for people as well as for systems.

Your data is your business. Is it supporting your strategy? Algorithms, machine learning, generati Data is your business. Have you unlocked its full potential? If you read nothing else on data strategy, read this book. We've combed through hundreds of Harvard Business Review articles and selected the most important ones to help you maximize your analytics capabilities; harness the power of data, algorithms, and AI; and gain competitive advantage in our hyperconnected world. This book will inspire you to: Reap the rewards of digital transformation Make better data-driven decisions Design breakout products that generate profitable insights Address vulnerabilities to cyberattacks and data breaches Reskill your workforce and build a culture of continuous learning Win with personalized customer experiences at scale This collection of articles includes "What's Your Data Strategy?," by Leandro DalleMule and Thomas H. Davenport; "Democratizing Transformation," by Marco Iansiti and Satya Nadella; "Why Companies Should Consolidate Tech Roles in the C-Suite," by Thomas H. Davenport, John Spens, and Saurabh Gupta; "Developing a Digital Mindset," by Tsedal Neeley and Paul Leonardi; "What Does It Actually Take to Build a Data-Driven Culture?," by Mai B. AlOwaish and Thomas C. Redman; "When Data Creates Competitive Advantage," by Andrei Hagiu and Julian Wright; "Building an Insights Engine," by Frank van den Driest, Stan Sthanunathan, and Keith Weed; "Personalization Done Right," by Mark Abraham and David C. Edelman; "Ensure High-Quality Data Powers Your AI," by Thomas C. Redman; "The Ethics of Managing People's Data," by Michael Segalla and Dominique Rouzies; "Where Data-Driven Decision-Making Can Go Wrong," by Michael Luca and Amy C. Edmondson; "Sizing Up Your Cyberrisks," by Thomas J. Parenty and Jack J. Domet; "A Better Way to Put Your Data to Work," Veeral Desai, Tim Fountaine, and Kayvaun Rowshankish; and "Heavy Machinery Meets AI," by Vijay Govindarajan and Venkat Venkatraman. HBR's 10 Must Reads are definitive collections of classic ideas, practical advice, and essential thinking from the pages of Harvard Business Review. Exploring topics like disruptive innovation, emotional intelligence, and new technology in our ever-evolving world, these books empower any leader to make bold decisions and inspire others. ve AI. With the latest advancements in technology, data is taking center stage in organizations. But without a clear plan for how you're storing, integrating, and gaining value from that information, your company will be at risk—and fall behind. If you read nothing else on setting a data strategy in your organization, read these 10 articles. We've combed through hundreds of Harvard Business Review articles and selected the most important ones to help you improve your analytic and algorithmic capabilities, navigate digital transformation, and achieve competitive advantage in our hyperconnected world. This book will inspire you to: Quantify the benefits of a digital transformation Discover opportunities for innovative, data-backed products and services Better understand and improve your customer experience Break down silos and share higher-quality information across your organization Identify areas susceptible to cyberattacks and data breaches Ensure metrics aren’t overshadowing strategic objectives 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.

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 practices Perfect 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.

Get your mind unstuck. It can be challenging to be mindful when you're trapped in your own head. Overthinking comes in many forms—overanalysis, perfectionism, worry, rumination—and each of these can be harmful to your productivity and well-being at work. This book will teach you how to understand what type of overthinking you are experiencing, realize when you're cycling in a mental loop, and break free so that you can trust your gut, make a decision, and move forward with confidence. This volume includes the work of: Alice Boyes Melody Wilding Thomas H. Davenport Sian Beilock HOW TO BE HUMAN AT WORK. The HBR Emotional Intelligence Series features smart, essential reading on the human side of professional life from the pages of Harvard Business Review. Each book in the series offers proven research showing how our emotions impact our work lives, practical advice for managing difficult people and situations, and inspiring essays on what it means to tend to our emotional well-being at work. Uplifting and practical, these books describe the social skills that are critical for ambitious professionals to master.

Data is your business. Have you unlocked its full potential? If you read nothing else on data strategy, read this book. We've combed through hundreds of Harvard Business Review articles and selected the most important ones to help you maximize your analytics capabilities; harness the power of data, algorithms, and AI; and gain competitive advantage in our hyperconnected world. This book will inspire you to: Reap the rewards of digital transformation Make better data-driven decisions Design breakout products that generate profitable insights Address vulnerabilities to cyberattacks and data breaches Reskill your workforce and build a culture of continuous learning Win with personalized customer experiences at scale This collection of articles includes "What's Your Data Strategy?," by Leandro DalleMule and Thomas H. Davenport; "Democratizing Transformation," by Marco Iansiti and Satya Nadella; "Why Companies Should Consolidate Tech Roles in the C-Suite," by Thomas H. Davenport, John Spens, and Saurabh Gupta; "Developing a Digital Mindset," by Tsedal Neeley and Paul Leonardi; "What Does It Actually Take to Build a Data-Driven Culture?," by Mai B. AlOwaish and Thomas C. Redman; "When Data Creates Competitive Advantage," by Andrei Hagiu and Julian Wright; "Building an Insights Engine," by Frank van den Driest, Stan Sthanunathan, and Keith Weed; "Personalization Done Right," by Mark Abraham and David C. Edelman; "Ensure High-Quality Data Powers Your AI," by Thomas C. Redman; "The Ethics of Managing People's Data," by Michael Segalla and Dominique Rouzies; "Where Data-Driven Decision-Making Can Go Wrong," by Michael Luca and Amy C. Edmondson; "Sizing Up Your Cyberrisks," by Thomas J. Parenty and Jack J. Domet; "A Better Way to Put Your Data to Work," Veeral Desai, Tim Fountaine, and Kayvaun Rowshankish; and "Heavy Machinery Meets AI," by Vijay Govindarajan and Venkat Venkatraman. HBR's 10 Must Reads are definitive collections of classic ideas, practical advice, and essential thinking from the pages of Harvard Business Review. Exploring topics like disruptive innovation, emotional intelligence, and new technology in our ever-evolving world, these books empower any leader to make bold decisions and inspire others.

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 models For 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.

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.

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 strategyLearn to work with intelligent robotsGet more from your marketing AIBe ready for ethical and regulatory challengesUnderstand how generative AI is game changingStop tinkering with AI and go all inThis 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.

A Wall Street Journal bestsellerA Publisher's Weekly bestsellerA 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.

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.

Become a digital-first organization&#8212and 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 modelMinimize risk using discovery-driven transformationLeverage torrents of data more strategicallyPrepare your employees for the future of workPrioritize the right initiativesCompete in the age of AIThis 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.

Explore why — now more than ever — the world is in a race to become data-driven, and how you can learn from examples of data-driven leadership in an Age of Disruption, Big Data, and AI In Fail Fast, Learn Faster: Lessons in Data-Driven Leadership in an Age of Disruption, Big Data, and AI, Fortune 1000 strategic advisor, noted author, and distinguished thought leader Randy Bean tells the story of the rise of Big Data and its business impact – its disruptive power, the cultural challenges to becoming data-driven, the importance of data ethics, and the future of data-driven AI. The book looks at the impact of Big Data during a period of explosive information growth, technology advancement, emergence of the Internet and social media, and challenges to accepted notions of data, science, and facts, and asks what it means to become "data-driven." Fail Fast, Learn Faster includes discussions of: The emergence of Big Data and why organizations must become data-driven to surviveWhy becoming data-driven forces companies to "think different" about their businessThe state of data in the corporate world today, and the principal challengesWhy companies must develop a true "data culture" if they expect to changeExamples of companies that are demonstrating data-driven leadership and what we can learn from themWhy companies must learn to "fail fast and learn faster" to compete in the years aheadHow the Chief Data Officer has been established as a new corporate profession Written for CEOs and Corporate Board Directors, data professional and practitioners at all organizational levels, university executive programs and students entering the data profession, and general readers seeking to understand the Information Age and why data, science, and facts matter in the world in which we live, Fail Fast, Learn Faster p;is essential reading that delivers an urgent message for the business leaders of today and of the future.

Become a digital-first organization&#8212and 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 modelMinimize risk using discovery-driven transformationLeverage torrents of data more strategicallyPrepare your employees for the future of workPrioritize the right initiativesCompete in the age of AIThis 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.

Are analytics and technology a strategic part of your business?Artificial intelligence, platforms, algorithms, machine learning. Most business leaders know the value in advanced technologies. But how do you embed them into your business&#8212and make them a key part of your strategy? HBR's 10 Must Reads Technology and Strategy Collection features innovative ideas to help you understand what new technologies offer, decide what business models are best for your business, and move forward with new innovations. Included in this seven-book set are:HBR's 10 Must Reads on AI, Analytics, and the New Machine AgeHBR's 10 Must Reads on Business Model InnovationHBR's 10 Must Reads on Platforms and EcosystemsHBR's 10 Must Reads on InnovationHBR's 10 Must Reads on Design ThinkingHBR's 10 Must Reads on StrategyHBR's 10 Must Reads on Strategy, Vol. 2The collection includes seventy articles selected by HBR's editors from renowned thought leaders including Clayton M. Christensen, W. Chan Kim, Renee Mauborgne, and Thomas H. Davenport, plus the indispensable article "Why Every Company Needs an Augmented Reality Strategy" by Michael E. Porter and James E. Heppelmann. With HBR's 10 Must Reads Technology and Strategy Collection, you can bridge the divide between your digital and strategic efforts, and ensure your business is on the cutting edge.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.

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.

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.

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.