Showing results by author "Thomas H. Davenport" in All Categories

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; and humans and machines are working together to reach new levels of productivity. 

Mohan and Oliver have been very fortunate to have intimate views into the data challenges that face the largest organizations and institutions across every possible industry - and what they have been hearing about for some time is how the business needs to use data and analytics to their advantage. 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.

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. 

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 audiobook promises to become your "quantitative literacy" guide.

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.

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. Leading companies are doing more than just collecting and storing data in large quantities - they're now driving their competitive strategies based on data-driven insights. In Competing on Analytics, Davenport and Harris explain how analytics are transforming the basis of competition in industry after industry.

In Only Humans Need Apply, Thomas Hayes Davenport and Julia Kirby reframe the conversation about automation, arguing that the future of increased productivity and business success isn't either human or machine. It's both. The key is augmentation, utilizing technology to help humans work better, smarter, and faster. Instead of viewing these machines as competitive interlopers, we can see them as partners and collaborators in creative problem solving as we move into the next era. 

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.

Since winning the U.S. presidency in November, Donald Trump has tweeted frequently about job loss. He’s railed against corporations that plan to move jobs to Mexico or China. He’s taken credit for persuading companies, including Ford and Carrier Corporation, for keeping jobs at home. He’s been unalterably opposed to both outsourcing and big trade deals like NAFTA and the Trans-Pacific Partnership (TPP) because of the U.S. job losses they might engender.

Knowledge workers are the innovators, designers and marketers of your company's products and services. They are the highly paid strategists, executives, and IT specialists whose ideas and expertise fuel your success. But are they delivering their best performance?

Go ahead, be skeptical about big data. The author was - at first. When the term "big data" first came on the scene, best-selling 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.

Despite the dizzying amount of data at our disposal today - and an increasing reliance on analytics to make the majority of our decisions - many of our most critical choices still come down to human judgment. This fact is fundamental to organizations whose leaders must often make crucial decisions: to do this they need the best available insights. This book introduces a model that taps the collective judgment of an organization so that the right decisions are made, and the entire organization profits.

Thomas H. Davenport, a professor at Babson College, Jeanne Harris, an executive research fellow and senior executive at Accenture's Institute for High Performance, and Jeremy Shapiro, an executive director in human resources at Morgan Stanley, writes about what the best companies know about their employees – and how they use that information to outperform their rivals.

Every piece of the company plays a part, every failure breeds success, and every success demands improvement. From the April 2008 issue of Harvard Business Review.