Thomas H. Davenport Book order (chronological)

The next wave of AI applications is upon us--use them 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 what's happening, look ahead to what's possible, and bring your AI efforts to scale. Develop your next AI strategy Seize the potential of natural language processing Prepare for jobs and industries to be transformed Help people and machines work together Prepare for the regulation of AI Develop algorithms for sales and marketing Stop tinkering with AI and go all in 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."-- Front cover flap jacket

Strategie zarządzania, wdrażania technologii i zasady zmian organizacyjnych są kluczowe dla budowy firmy wykorzystującej AI. Wiele organizacji zareagowało na sztuczną inteligencję z rezerwą, jednak nieliczne światowej klasy firmy postanowiły wykorzystać jej potencjał, rewolucjonizując swoje procesy, strategie, kulturę, obsługę klienta i produkty. Te firmy, stanowiące zaledwie ułamek wszystkich dużych przedsiębiorstw, są obecnie liderami wydajności w swoich branżach, stosując lepsze modele biznesowe i podejmując trafniejsze decyzje. Thomas Davenport i Nitin Mittal analizują awangardę AI w kontekście ugruntowanych firm, takich jak Anthem, Ping An, Airbus i Capital One. Książka dostarcza liderom i ich zespołom informacji niezbędnych do zwiększenia wykorzystania AI w ich organizacjach. Dla tych, którzy pragną w pełni wykorzystać tę technologię, publikacja pokazuje, jak robią to najlepsi, oferując narzędzia do uczynienia AI sercem przedsiębiorstwa. To fascynujące spojrzenie na firmy zdobywające przewagę na rynku dzięki AI. Wartością dodaną są opinie ekspertów, którzy podkreślają transformacyjny potencjał sztucznej inteligencji w biznesie.

"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

Exploring the concept of unreligiousness in America, this book challenges the prevailing sociological view that religious belief is essential for individual well-being. It argues against the assumption that those without religious beliefs inherently lack meaning in life. Utilizing statistical methods, the author examines the implications of being unreligious, offering a fresh perspective on the relationship between belief systems and personal fulfillment.

AI and data analytics are driving a wave of technological innovations—understand them, cut through the hype, and seize the opportunities. This collection features 10 essential articles that reveal how intelligent machines are transforming business. We've selected key insights from hundreds of Harvard Business Review articles to explain how these technologies interconnect, what the future holds, and how to prepare your company effectively. You'll discover how data analytics and AI provide unprecedented insights, how machine learning is reshaping management and the workforce, and how unmanned vehicles are evolving into practical tools. Additionally, 3-D printing is advancing from rapid prototyping to large-scale production, while augmented reality is enhancing manufacturing and retail experiences. AI assistants and smart speakers are redefining customer-brand interactions, and a coordinated rollout of blockchain has the potential to reshape economies. The HBR's 10 Must Reads series is a definitive resource for both new and experienced leaders, offering inspiration and essential knowledge on leadership, strategy, change, and personal management. Each title distills timeless advice relevant in an ever-changing business landscape, featuring classic ideas and insights from the best thinkers in the field.

This book is the introduction to Elixir for experienced programmers, completely updated for Elixir 1.6 and beyond. Explore functional programming without the academic overtones (tell me about monads just one more time). Create concurrent applications, but get them right without all the locking and consistency headaches.

To really address the data concerns of today's enterprise, they wanted to find a way to help enterprises achieve the success they seek. Not as a prescriptive process-but a methodology to become agile and leverage data and analytics to drive a competitive advantage. You know, it's amazing what can happen when two people with very different perspectives get together to solve a big problem. This evolutionary guide resulted from the a-ha moment between these two influencers at the top of their fields - one, an academic researcher and consultant, and the other, a longtime analytics practitioner and chief product officer at Teradata. Together, they created a powerful framework every type of business can use to connect analytic power, business practices, and human dynamics in ways that can transform what is currently possible. -- Provided by publisher

Elixir's pragmatic syntax and built-in support for metaprogramming will make you productive and keep you interested for the long haul. Maybe the time is right for the Next Big Thing. Maybe it's Elixir. This book is the introduction to Elixir for experienced programmers, completely updated for Elixir 1.3.

This invigorating and thought-provoking exploration examines the rise of automation and its implications for sustainable careers across various industries. With nearly half of working Americans at risk of job loss due to technology, the threat extends beyond blue-collar roles to educated knowledge workers, including writers, paralegals, and medical technicians. The industrial revolution previously shifted workers from farms to factories, while the first era of automation relieved humans of manual labor. Now, we are entering Era Three, marked by the rise of artificial intelligence, where smart computers can outperform humans in decision-making, learning, and comprehension. This evolution raises questions about the future of professions such as law, nursing, teaching, and editing. The authors reframe the conversation around automation, suggesting that the future lies not in a competition between humans and machines, but in their collaboration. By embracing augmentation—using technology to enhance human capabilities—workers can achieve greater productivity and success. Rather than viewing machines as threats, we can see them as partners in creative problem-solving as we transition into this new era. The choice to adapt and thrive is ours.

"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."--Jacket

In this rich, entertaining primer, former Columbia University professor and Predictive Analytics World founder Eric Siegel reveals the power and perils of prediction: What type of mortgage risk Chase Bank predicted before the recession. Predicting which people will drop out of school, cancel a subscription, or get divorced before they are even aware of it themselves. Why early retirement decreases life expectancy and vegetarians miss fewer flights. Five reasons why organizations predict death, including one health insurance company. A truly omnipresent science, predictive analytics affects everyone, every day. Although largely unseen, it drives millions of decisions, determining whom to call, mail, investigate, incarcerate, set up on a date, or medicate. Predictive analytics transcends human perception. This book's final chapter answers the riddle: What often happens to you that cannot be witnessed, and that you can't even be sure has happened afterward -- but that can be predicted in advance? Whether you are a consumer of it -- or consumed by it -- get a handle on the power of Predictive Analytics. This book is easily understood by all readers. Rather than a "how to" for hands-on techies, the book entices lay-readers and experts alike by covering new case studies and the latest state-of-the-art techniques.

As a follow-up to the successful Competing on Analytics, authors Tom Davenport, Jeanne Harris, and Robert Morison provide practical frameworks and tools for all companies that want to use analytics as a basis for more effective and more profitable decision making. Regardless of your company's strategy, and whether or not analytics are your company's primary source of competitive differentiation, this book is designed to help you assess your organization's analytical capabilities, provide the tools to build these capabilities, and put analytics to work. The book helps you answer these pressing questions: What assets do I need in place in my organization in order to use analytics to run my business? Once I have these assets, how do I deploy them to get the most from an analytic approach? How do I get an analytic initiative off the ground in the first place, and then how do I sustain analytics in my organization over time? Packed with tools, frameworks, and all new examples, Analytics at Work makes analytics understandable and accessible and teaches you how to make your company more analytical.

"In Competing on Analytics: The New Science of Winning, Thomas H. Davenport and Jeanne G. Harris argue that the frontier for using data has shifted dramatically. Leading companies are doing more than just collecting and storing information in large quantities. They're now building their competitive strategies around data-driven insights that are, in turn, generating impressive business results. Their secret weapon? Analytics: sophisticated quantitative and statistical analysis and predictive modeling supported by data-savvy senior leaders and powerful information technology."--Jacket.

In Thinking for a Living, Thomas Davenport contends that knowledge workers are vastly different from other types of workers in their motivations, attitudes, and need for autonomy - and thus require unconventional management techniques if they are to be more productive. Based on extensive research involving more than one hundred companies and six hundred knowledge workers, Thinking for a Living provides insights into how knowledge workers think, how they accomplish tasks, and what motivates them to excel. Davenport identifies four major categories of knowledge workers - transaction, integration, expert, and collaborative - and presents a framework for matching each category with management strategies that yield the greatest performance.

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

This book offers a unique perspective on knowledge management at Siemens, showcasing the corporation's practical applications and experiences as a benchmark in the field. Tom Davenport and Gilbert Probst compile instructive case studies that reflect years of knowledge management practice, with most cases updated and new ones added in the second edition. It provides a comprehensive account of effectively managing organizational knowledge assets, emphasizing generic lessons from Siemens' experience. The text outlines a roadmap for building a "mature knowledge enterprise," enhancing understanding of the necessary steps to sustain competitive advantage in the knowledge economy. The practice-oriented approach distinguishes this work within KM literature. Notably, the cases reveal not just the analysis of knowledge management tools and processes, but also their development, commitment building, and implementation leadership. Esteemed figures in the field commend the book for its insights into how valuable resources drive these tools and for being a rare account of a single company's knowledge management journey. Siemens' impressive strides toward becoming a knowledge-driven firm are detailed, making this volume a valuable resource for practitioners seeking practical applications of knowledge management.

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

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