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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.

Artificial intelligence has been applied successfully in thousands of ways, but one of the less visible and less dramatic ones is improving data management. The authors describe five common areas of data management -- classifying, cataloging, quality, security, and data integration -- where they see AI playing important roles. They also discuss the vendor landscape and the ways that humans are essential to data management.

There is no impending threat of large-scale automation and displacement of human labor on the horizon. That's the conclusion reached by the authors after reviewing the research around smart machines in workplaces, and speaking with leaders in hundreds of organizations. In an adaption of their book Working With AI: Real Stories of Human-Machine Collaboration, they lay out where they see limitations of AI in the workplace and where practitioners can expect job continuity for the immediate future.

"An exploration of the future of work featuring real-world profiles of changing jobs and work arrangements in light of human/AI interaction"-- Provided by publisher

• Case studies
• Insights
• Conclusions

"An exploration of the future of work featuring real-world profiles of changing jobs and work arrangements in light of human/AI interaction"-- Provided by publisher

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.
(source: Nielsen Book Data)

Many people don't trust decisions, answers, or recommendations from artificial intelligence. To address that problem, makers of AI applications and systems should stop overpromising, be more transparent about how systems are used, and consider third-party certification.

• Part I. The nature of analytical competition: The nature of analytical competition
• What makes an analytical competitor?
• Analytics and business performance
• Competing on analytics with internal processes
• Competing on analytics with external processes
• Part II. Building an analytical capability: A roadmap to enhanced analytical capabilities
• Managing analytical people
• The architectures of analytics and big data
• The future of analytical competition.

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

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.

• Why Big Data is important to you and your organization
• How Big Data will change your job, your company and your industry
• Developing a big data strategy
• The human side of Big Data
• Technology for Big Data
• What it takes to succeed with Big Data
• What you can learn from start-ups and online firms
• What you can learn from large companies: Big Data and analytics 3.0.

• Why everyone needs analytical skills
• Framing the problem
• Solving the problem
• Communicating and acting on results
• Quantitative analysis and creativity
• Developing quantitative analysis capabilities
• Working with quants.

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.
(source: Nielsen Book Data)

• Table of Contents Preface and Acknowledgements
• Chapter 1 What It Means to Put Analytics to Work
• Part 1 The Analytical DELTA
• Chapter 2 Data
• Chapter 3 Enterprise
• Chapter 4 Leadership
• Chapter 5 Targets
• Chapter 6 Analysts
• Part 2 Staying Analytical
• Chapter 7 Embedding Analytics in Business Processes
• Chapter 8 Build an Analytical Culture
• Chapter 9 Review Comprehensively
• Chapter 10 The Analytical Journey: Meeting Challenges Along the Way
• Chapter 11 Toward More Analytical Decisions and Better Results Appendix The DELTA Journey.
• (source: Nielsen Book Data)

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.
(source: Nielsen Book Data)

• 1. The nature of analytical competition : using analytics to build a distinctive capability
• 2. What makes an analytical competitor? : defining the common key attributes of such companies
• 3. Analytics and business performance : transforming the ability to compete on analytics into a lasting competitive advantage
• 4. Competing on analytics with internal processes : financial, manufacturing, R&D, and human resource applications
• 5. Competing on analytics with external processes : customer and supplier applications
• 6. A road map to enhanced analytical capabilities : progressing through the five stages of development
• 7. Managing analytical people : cultivating the scarce ingredient that makes analytics work
• 8. The architecture of business intelligence : aligning a robust technical environment with business strategies
• 9. The future of analytical competition : approaches driven by technology, human factors, and business strategy.

You have more information at hand about your business environment than ever before. But are you using it to "out-think" your rivals? If not, you may be missing out on a potent competitive tool. In "Competing on Analytics: The New Science of Winning" , Thomas H. Davenport and Jeanne G. Harris argue that the frontier for using data to make decisions has shifted dramatically. Certain high-performing enterprises are now building their competitive strategies around data-driven insights that in turn generate impressive business results. Their secret weapon: Analytics: sophisticated quantitative and statistical analysis and predictive modeling. Exemplars of analytics are using new tools to identify their most profitable customers and offer them the right price, to accelerate product innovation, to optimize supply chains, and to identify the true drivers of financial performance. A wealth of examples - from organizations as diverse as Amazon, Barclay's, Capital One, Harrah's, Procter & Gamble, Wachovia, and the Boston Red Sox - illuminate how to leverage the power of analytics.
(source: Nielsen Book Data)

• What's a Knowledge Worker, Anyways? How Knowledge Workers Differ, and the Difference It Makes Interventions, Measures, and Experiments in Knowledge Work Knowledge Work Processes Organizational Technology for Knowledge Workers Developing Individual Knowledge Worker Capabilities Investing in Knowledge Workers' Networks and Learning The Physical Work Environment and Knowledge Worker Performance Managing Knowledge Workers.
• (source: Nielsen Book Data)

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

• Preface
• 1. A New Perspective on Business: Welcome to the Attention Economy
• 2. Attention, the Story So Far: What Attention Is and Isn't
• 3. Doing a Number on You: The Measurement of Attention
• 4. From Amoebas to Apes: The Psychobiology of Attention
• 5. Luddites Beware: Attention Technologies
• 6. The Hidden Persuaders: Lessons fron the Attention Industries
• 7. Eyeballs and Cyber Malls: E-Commerce and Attention
• 8. Command Performance: Leadership and Attention
• 9. Focused Choices and Global Resources: Strategy and Attention
• 10. Off the Org Chart: Organizational Structure and Attention
• 11. "You've Got (Lots and Lots of) Mail": Managing Information, Knowledge, and Attention
• 12. From Myopia to Utopia: The Future of the Attention Economy Notes Index About the Authors.
• (source: Nielsen Book Data)

This title identifies attention management as the new critical competency for 21st century business. This is a landmark book for every manager who wants to learn how to earn and spend the new currency of business argues that unless companies learn to effectively capture, manage, and keep attention - both internally and out in the marketplace - they'll fall hopelessly behind in our information-flooded world. It is based on an exclusive global research study, with examples from a range of companies. It provides a revolutionary four-part model for managing attention in all areas of business. It presents a multidisciplinary approach to the topic of 'attention, ' incorporating economics, psychology, and technology. It appeals to readers not only as representatives of an organization, but as individuals.
(source: Nielsen Book Data)

• Preface Acknowledgments
• 1. What Are Enterprise Systems and Why Do They Matter?
• 2. The Promise and Perils of Enterprise Systems
• 3. Should My Company Implement an Enterprise System?
• 4. Linking Enterprise Systems to Strategy and Organization
• 5. Linking Enterprise Systems to Business Processes and Information
• 6. Achieving Value during Enterprise System Implementation
• 7. Transforming the Practice of Management with Enterprise Systems
• 8. Using Enterprise Systems to Manage the Supply Chain
• 9. The Future of ES-Enabled Organizations Appendix A: A Technical Overview of Enterprise Systems Notes Index About the Author.
• (source: Nielsen Book Data)

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