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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.

International expert and consultant David Maister offers a brilliant and accessible guide to every management issue at play in professional firms. Professional firms differ from other business enterprises in two distinct ways: first, they provide highly customized services and thus cannot apply many of the management principles developed for product-based industries. Second, professional services are highly personalized, involving the skills of individuals.

When it comes to improving customer experiences, trying out new business models, or developing new products, even the most experienced managers often get it wrong. They discover that intuition, experience, and big data alone don't work. What does? Running disciplined business experiments. And what if companies roll out new products or introduce new customer experiences without running these experiments? They fly blind. That's what Harvard Business School professor Stefan Thomke shows in this rigorously researched and eye-opening book.

In this eye-opening, essential guidebook for the new world of work, John Winsor and Jin Paik, leaders at the Laboratory for Innovation Science at Harvard, show how the massive reset of the pandemic allowed talented workers everywhere to exit their jobs without leaving the workforce. Now some are freelancing for multiple companies or starting small businesses, leaving hiring managers scratching their heads over a workforce gone AWOL. What's more, talent has more power than ever using platforms such as Freelancer.com, Fiverr, and Upwork, setting their own terms for work.

Most organizations view data monetization—converting data into money—too narrowly: as merely selling data sets. But data monetization is a core business activity for both commercial and noncommercial organizations, and, within organizations, it’s critical to have wide-ranging support for this pursuit. In Data Is Everybody’s Business, the authors offer a clear and engaging way for people across the entire organization to understand data monetization and make it happen.

Are you winning the battle but losing the war? Every leader has to deliver the goods - make budget, meet deadlines, and deftly manage people - to provide the inspirational fuel that keeps their business running day-in and day-out. But therein lies the danger of winning today's battle and losing the war - that is the long game of creating sustainable value in a volatile, uncertain world that is becoming ever-more complex and ambiguous.

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.

Learn the 25 keys to a great business plan, including writing the company's mission, identifying marketing opportunities, calculating appropriate financial ratios, and projecting growth rates, that will help guide your company's expansion and attract necessary funding. Business Planning is part of The New York Times Pocket MBA Series.