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. With authors from Francesca Gino to Adam Grant and company examples from Pfizer to Microsoft, this volume brings the most current and important management conversations right to your fingertips.

Your inbox is overflowing. You're paralyzed because you have too much to do but don't know where to start. Your to-do list never seems to get any shorter. You leave work exhausted but have little to show for it. It's time to learn how to get the right work done. In the HBR Guide to Getting the Right Work Done, you'll discover how to focus your time and energy where they will yield the greatest reward. Not only will you end each day knowing you made progress—your improved productivity will also set you apart from the pack.

If you read (or listen to) nothing else on artificial intelligence and machine learning, listen to these ten articles. We've combed through hundreds of Harvard Business Review articles and selected the most important ones to help you understand the future direction of AI, bring your AI initiatives to scale, and use AI to transform your organization.

If you listen to nothing else on performing at your highest level, listen to these ten articles. We've combed through hundreds of Harvard Business Review articles and selected the most important ones to help you focus on what matters, manage your energy and attention, and achieve remarkable results. This book will inspire you to improve on your weaknesses, not just your strengths; rise above the pack; take care of your physical health for sustained mental performance; understand what motivates you; use short-term goals to achieve long-term aspirations; and inspire others.

Harvard Business Review is the foremost destination for smart management thinking. Now, at its 100th anniversary, this commemorative volume brings together the most influential ideas since its inception. With thought leaders including Michael E. Porter, W. Chan Kim and Renée Mauborgne, Rosabeth Moss Kanter, Peter Drucker, and Clayton M. Christensen, this book puts HBR's greatest concepts at your fingertips. You'll learn how these groundbreaking ideas continue to be relevant in today's business context—and what to keep in mind as you prepare for the future.

How to be human at work. This four-volume set includes Happiness, Resilience, Mindfulness, and Empathy.

Whether you're imagining your new business to be the next big thing in Silicon Valley, a pivotal B2B provider, or an anchor in your local community, the Harvard Business Review Entrepreneur's Handbook is your essential resource for getting your company off the ground. Starting an independent new business is rife with both opportunity and risk. And as an entrepreneur, you're the one in charge: Your actions can make or break your business. You need to know the tried-and-true fundamentals - from writing a business plan to getting your first loan.

We are approaching a critical threshold in the history of our species. Everything is about to change. Soon you will live surrounded by AIs. They will organize your life, operate your business, and run core government services. You will live in a world of DNA printers and quantum computers, engineered pathogens and autonomous weapons, robot assistants and abundant energy. None of us are prepared.

In their bestselling first book, Prediction Machines, eminent economists Ajay Agrawal, Joshua Gans, and Avi Goldfarb explained the simple yet game-changing economics of AI. Now, in Power and Prediction, they go deeper, examining the most basic unit of analysis: the decision. The authors explain that the two key decision-making ingredients are prediction and judgment, and we perform both together in our minds, often without realizing it.

The term metaverse is suddenly everywhere, from debates over Fortnite to the pages of the New York Times to the speeches of Mark Zuckerberg, who proclaimed in June 2021 that “the overarching goal” of Facebook is to “bring the metaverse to life”. But what, exactly, is the metaverse? As pioneering theorist and venture capitalist Matthew Ball explains, it is the successor to the mobile internet that has defined the last two decades.

In industry after industry, data, analytics, and AI-driven processes are transforming the nature of work. While we often still treat AI as the domain of a specific skill, business function, or sector, we have entered a new era in which AI is challenging the very concept of the firm. AI-centric organizations exhibit a new operating architecture, redefining how they create, capture, share, and deliver value.

In Artificial Intelligence, Mitchell turns to the most urgent questions concerning AI today: How intelligent - really - are the best AI programs? How do they work? What can they actually do, and when do they fail? How humanlike do we expect them to become, and how soon do we need to worry about them surpassing us? Along the way, she introduces the dominant methods of modern AI and machine learning, describing cutting-edge AI programs, their human inventors, and the historical lines of thought that led to recent achievements.

You've definitely heard of the metaverse by now, but I'll explain why everyone will soon log in and out of this new three-dimensional virtual reality as they do with Instagram, TikTok, and other social media platforms today. What will assure you and your family a wealthy future is understanding how the metaverse will work and what the technologies are at its core. What actually is it? How did it come to be? What technologies are at work? Why do we need cryptocurrency for it? All of these questions are answered using real-life examples and comparisons. Plus a lot more!

Facebook, PayPal, Alibaba, Uber - these seemingly disparate companies have upended entire industries by harnessing a single phenomenon: the platform business model. Platform Revolution delivers the first comprehensive analysis of how platforms use technology to match producers and consumers in a multisided marketplace, unlocking hidden resources and creating new forms of value. When a company like Uber connects drivers with passengers, everybody wins - except traditional cab companies, which are scrambling to survive.

What entrepreneur or founder doesn't aspire to build the next Amazon, Facebook, or Airbnb? Yet those who actually manage to do so are exceedingly rare. So what separates the start-ups that get disrupted and disappear from the ones who grow to become global giants? The secret is blitzscaling: a set of techniques for scaling up at a dizzying pace that blows competitors out of the water.

A trio of experts on high-tech business strategy and innovation reveal the principles that have made platform businesses the most valuable firms in the world and the first trillion-dollar companies.

The best-selling author of Big Data is back, this time with a unique and in-depth insight into how specific companies use big data. Big data is on the tip of everyone's tongue. Everyone understands its power and importance, but many fail to grasp the actionable steps and resources required to utilise it effectively. This book fills the knowledge gap by showing how major companies are using big data every day, from an up-close, on-the-ground perspective.

The Amazon Way on IoT is for the leader who wants to understand how the Internet of things is transforming business and society. Listeners will discover business cases, key concepts, technologies and tools to help develop, explain and execute their own IoT approach through understanding Amazon's and other leading companies sophisticated IoT technologies and strategies.

In The Second Machine Age, Andrew McAfee and Erik Brynjolfsson predicted some of the far-reaching effects of digital technologies on our lives and businesses. Now they’ve written a guide to help listeners make the most of our collective future. Machine | Platform | Crowd outlines the opportunities and challenges inherent in the science fiction technologies that have come to life in recent years, like self-driving cars and 3D printers, online platforms for renting outfits and scheduling workouts, or crowd-sourced medical research and financial instruments.

The confluence of four technologies - elastic cloud computing, big data, artificial intelligence, and the internet of things - writes Siebel, is fundamentally changing how business and government will operate in the 21st century. Siebel masterfully guides listeners through a fascinating discussion of the game-changing technologies driving digital transformation and provides a roadmap to seize them as a strategic opportunity.

What do Google, Snapchat, Tinder, Amazon, and Uber have in common, besides soaring market share? They're platforms - a new business model that has quietly become the only game in town. A platform, by definition, creates value by facilitating an exchange between two or more interdependent groups. So, rather than making things, they simply connect people. The advent of mobile computing and its ubiquitous connectivity have forever altered how we interact with each other. Yet, few people truly grasp the radical structural shifts of the last 10 years.

What to Do When Machines Do Everything is a guidebook to succeeding in the next generation of the digital economy. When systems running on artificial intelligence can drive our cars, diagnose medical patients, and manage our finances more effectively than humans, it raises profound questions on the future of work and how companies compete.

World-renowned economist Klaus Schwab, founder and executive chairman of the World Economic Forum, explains that we have an opportunity to shape the fourth industrial revolution, which will fundamentally alter how we live and work.

Look around you. Artificial intelligence is no longer just a futuristic notion. It's here right now - in software that senses what we need, supply chains that "think" in real time, and robots that respond to changes in their environment. Twenty-first-century pioneer companies are already using AI to innovate and grow fast. The bottom line is this: Businesses that understand how to harness AI can surge ahead. Those that neglect it will fall behind. Which side are you on?

Artificial intelligence is changing our world faster than we can imagine, and it will impact every area of our lives. And this is happening whether we like it or not. You might have heard that many jobs will be replaced by automation and robots, but did you also know that at the same time a huge number of new jobs will be created by AI? This book covers many fascinating and timely topics related to artificial intelligence, including: self-driving cars, robots, chatbots, and how AI will impact the job market, business processes, and entire industries, just to name a few.

In The Attacker's Advantage, Charan reveals the upside of uncertainty for those leaders who are nimbly positioned to anticipate the catalysts of disruption and embrace change. He updates and adapts the principles of his previous best sellers to address the current turbulent business environment, cutting through the veil of complexity to concentrate on the new customer needs and expectations and providing the tools for corporate leaders to take their companies to a higher level.

In their bestselling first book, Prediction Machines, eminent economists Ajay Agrawal, Joshua Gans, and Avi Goldfarb explained the simple yet game-changing economics of AI. Now, in Power and Prediction, they go deeper, examining the most basic unit of analysis: the decision. The authors explain that the two key decision-making ingredients are prediction and judgment, and we perform both together in our minds, often without realizing it.

The team behind the data management platform that helps fuel Salesforce - the number one customer relationship management (CRM) company in the world - presents this indispensable guide to data-powered marketing. You’ll discover the three principles for building a successful data strategy and the five sources of data-driven power. You’ll hear how top companies put these data-driven strategies into action. And if you’re wondering what the future holds, you’ll receive seven forecasts to better prepare you for what may come next.

How can great companies do everything right - identify real customer needs, deliver excellent innovations, beat their competitors to market - and still fail? The sad truth is that many companies fail because they focus too intensely on their own innovations, and then neglect the innovation ecosystems on which their success depends. In our increasingly interdependent world, winning requires more than just delivering on your own promises. It means ensuring that a host of partners - some visible, some hidden - deliver on their promises, too.

In AI Superpowers, Kai-fu Lee argues powerfully that because of these unprecedented developments in AI, dramatic changes will be happening much sooner than many of us expected. Indeed, as the US-Sino AI competition begins to heat up, Lee urges the US and China to both accept and to embrace the great responsibilities that come with significant technological power.