Thomas H. Davenport Bücher

Aus Informationen Gewinne machen; Verborgenes Potential entdecken; Von internationalen Organisationen lernen

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.

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 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.

AI and data analytics are powering a wave of technological innovations--understand them, cut through the hype, and seize the opportunities. 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 reveal how these new technologies fit together, to explain what's coming next, and to help you prepare your company now. In this book you'll learn how: Data analytics and AI are yielding insights at an unprecedented rate Machine learning is reinventing management and reshaping the workforce Unmanned vehicles are evolving from toys into tools 3-D printing is moving beyond rapid prototyping to industrial production at scale Augmented reality is transforming both manufacturing and retail experiences AI assistants and smart speakers are grabbing territory between customers and brands A broadly coordinated rollout of blockchain could reshape economies The 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. The 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. Classic ideas, enduring advice, the best thinkers: HBR's 10 Must Reads.

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

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.

"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.

"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

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.