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.

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.

Exploring the little-known history behind the legal doctrine of prior appropriation-"first in time is first in right"-used to apportion water resources in the western United States, this book focuses on the important case of Wyoming v. Colorado (1922). U.S. Supreme Court Associate Justice Willis Van Devanter, a former Chief Justice of Wyoming, ruled in that state's favor, finding that prior appropriation applied across state lines-a controversial opinion influenced by cronyism. The dicta in the case, that the U.S. Government has no interest in state water allocation law, drove the balkanization of interstate water systems and resulted in the Colorado River Interstate Compact between Wyoming, Colorado, Utah, New Mexico, Arizona, Nevada and California. The exhaustive research that has gone into this book has uncovered the secret that Associate Justice Van Devanter had waited eleven years to publish his opinion in this important, but politically self-serving, case, at last finding a moment when his senior colleagues were sufficiently absent or incapacitated to either concur or dissent. Without the knowledge of his "brethren," save his "loyal friend" Taft, and without recusal, Van Devanter unilaterally delivered his sole opinion to the Clerk for publication on the last day of the Supreme Court's October 1921 Term.

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.

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.

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.

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

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 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.

This book constitutes the proceedings of the 6th International Conference on Mathematical Software, ICMS 2018, held in South Bend, IN, USA, in July 2018.The 59 papers included in this volume were carefully reviewed and selected from numerous submissions. The program of the 2018 meeting consisted of 20 topical sessions, each of which providing an overview of the challenges, achievements and progress in a subeld of mathematical software research, development and use.

This book constitutes the joint refereed proceedings of three international events, namely the 18th Symposium on the Integration of Symbolic Computation and Mechanized Reasoning, Calculemus 2011, the 10th International Conference on Mathematical Knowledge Management, MKM 2011, and a new track on Systems and Projects descriptions that span both the Calculemus and MKM topics, all held in Bertinoro, Italy, in July 2011. All 51 submissions passed through a rigorous review process. A total of 15 papers were submitted to Calculemus, of which 9 were accepted. Systems and Projects track 2011 there have been 12 papers selected out of 14 submissions while MKM 2011 received 22 submissions, of which 9 were accepted for presentation and publication. The events focused on the use of AI techniques within symbolic computation and the application of symbolic computation to AI problem solving; the combination of computer algebra systems and automated deduction systems; and mathematical knowledge management, respectively.

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.

This is the sixth in a series of conference proceedings of international conferences on computer algebra held in Europe. All the preceding ones have also been published as Lecture Notes in Computer Science. They contain original research material not published elsewhere, and a few invited lectures summarising the state of the art. Computer algebra is the science of using computers to do algebraic calculations, rather than the purely arithmetic calculations which we all know computers can do. These calculations may be polynomial-like calculations - one thread of the conference was devoted to polynomial algorithms - or may relate to other areas of mathematics such as integration, the solution of differential equations, or geometry - a second thread was devoted to those topics. The calculations can be applied in a wide range of scientific and engineering subjects, and in branches of mathematics. Physics has benefitted especially from these calculations, and the proceedings contain many papers on this, and also papers on applications in computer aided design and robotics, to name but a few other applications. The third thread of the proceedings was devoted to these applications and to the computer algebra systems which perform these calculations.

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.

This book constitutes the proceedings of the 7th International Conference on Mathematical Software, ICMS 2020, held in Braunschweig, Germany, in July 2020. The 48 papers included in this volume were carefully reviewed and selected from 58 submissions. The program of the 2020 meeting consisted of 20 topical sessions, each of which providing an overview of the challenges, achievements and progress in a environment of mathematical software research, development and use.

This book constitutes the joint refereed proceedings of Calculemus 2014, Digital Mathematics Libraries, DML 2014, Mathematical Knowledge Management, MKM 2014 and Systems and Projects, S&P 2014, held in Coimbra, Portugal, during July 7-11, 2014 as four tracks of CICM 2014, the Conferences on Intelligent Computer Mathematics. The 26 full papers and 9 Systems and Projects descriptions presented together with 5 invited talks were carefully reviewed and selected from a total of 55 submissions. The Calculemus track of CICM examines the integration of symbolic computation and mechanized reasoning. The Digital Mathematics Libraries track - evolved from the DML workshop series - features math-aware technologies, standards, algorithms and processes towards the fulfillment of the dream of a global DML. The Mathematical Knowledge Management track of CICM is concerned with all aspects of managing mathematical knowledge in the informal, semi-formal and formal settings. The Systems and Projects track presents short descriptions of existing systems or on-going projects in the areas of all the other tracks of the conference.

The theory of numbers is generally considered to be the 'purest' branch of pure mathematics and demands exactness of thought and exposition from its devotees. It is also one of the most highly active and engaging areas of mathematics. Now into its eighth edition The Higher Arithmetic introduces the concepts and theorems of number theory in a way that does not require the reader to have an in-depth knowledge of the theory of numbers but also touches upon matters of deep mathematical significance. Since earlier editions, additional material written by J. H. Davenport has been added, on topics such as Wiles' proof of Fermat's Last Theorem, computers and number theory, and primality testing. Written to be accessible to the general reader, with only high school mathematics as prerequisite, this classic book is also ideal for undergraduate courses on number theory, and covers all the necessary material clearly and succinctly.

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.