Every big project—whether it’s creating new technology, developing a fresh line of sneakers, or opening a neighborhood café—requires a major investment to get off the ground. Unfortunately, most big projects flop with customers. Too many teams waste time, money, and opportunity because they follow the wrong strategy and lose sight of what really matters: Do people want what you’re making? Does your solution click with customers?

Large language models (LLMs) and diffusion models such as ChatGPT and Stable Diffusion have unprecedented potential. Because they have been trained on all the public text and images on the internet, they can make useful contributions to a wide variety of tasks. And with the barrier to entry greatly reduced today, practically any developer can harness LLMs and diffusion models to tackle problems previously unsuitable for automation. With this book, you'll gain a solid foundation in generative AI, including how to apply these models in practice.

This is a practical, non-technical guide for business leaders, entrepreneurs, and curious minds. This comprehensive guide on agentic AI cuts through the hype and offers a clear, jargon-free strategic roadmap to understanding and applying this technology. The authors bring a rare perspective, having implemented agentic AI across diverse organizations—from global enterprises to agile startups—witnessing both remarkable successes and sobering failures.

The difference between growing your business and going out of business is your ability to think strategically. The problem is, most leaders are stuck in the operational weeds, struggling to find the time to make better strategic decisions. This challenge is only heightened by the rise of AI. While you know AI is the future, current demands leave you with no time to explore its benefits. Meanwhile, your competition is gaining an edge by integrating AI. The time to act is now.

As the cofounder of Waze—the world's leading commuting and navigation app with more than 700 million users to date, and which Google acquired in 2013 for $1.15 billion—Levine is committed to spreading entrepreneurial thinking so that other founders, managers, and employees in the tech space can build their own highly valued companies. Levine offers an inside look at the creation and sale of Waze and his second unicorn, Moovit, revealing the formula that drove those companies to compete with industry veterans and giants alike.

Every iconic tech company was once a startup. And while these companies like to paint an origin story full of surefooted confidence, the truth is usually something different: the early life of most startups is pure chaos. This chaos comes from the vastly different motivations and incentives between those with the vision and those with the money. From fundraising paranoia to boardroom coups, Zalman and Neumann train their inimitable voices on the gulf between what founders and investors promise to do and what they end up actually doing.

The breakthrough concepts of Pattern Breakers come from the observations of Mike Maples Jr., a seasoned venture capitalist, who noticed something strange. Start-ups like Twitter, Twitch, and Lyft had achieved extraordinary success despite their disregard for “best practices.” In contrast, other startups deemed highly promising often failed, even when they seemed to do everything right. Seeking answers, Maples and coauthor Peter Ziebelman set out to discover the hidden forces that drive extraordinary start-up success.

Recent breakthroughs in AI have not only increased demand for AI products, they've also lowered the barriers to entry for those who want to build AI products. The model-as-a-service approach has transformed AI from an esoteric discipline into a powerful development tool that anyone can use. Everyone, including those with minimal or no prior AI experience, can now leverage AI models to build applications. In this book, author Chip Huyen discusses AI engineering: the process of building applications with readily available foundation models.

Nvidia is the darling of the age of artificial intelligence: the company’s chips are powering the generative-AI revolution, and demand is insatiable. For all the current interest and attention, however, Nvidia is not of our time. Founded more than three decades ago in a Denny’s in East San Jose, for years it was known primarily in the then-niche world of computer gaming. In fact, the company’s leather-jacketed leader, Jensen Huang, is the longest-serving CEO in an industry marked by near constant turmoil and failure.

Ilya Strebulaev has spent the last two decades at Stanford studying VCs’ counterintuitive approaches to decision-making, and the reasons behind the success and failure of corporate innovation efforts. Alex Dang, a senior leader at McKinsey and Amazon, has seen up close the impact VCs’ thinking and mechanisms can have on a business’ success. Together in The Venture Mindset, they present nine distinct principles that can help anyone looking to transform their business and achieve extraordinary results, no matter the industry.

Now nearing its 60th printing in English and translated into 19 languages, Michael E. Porter's Competitive Strategy has transformed the theory, practice, and teaching of business strategy throughout the world.

What passes for strategy in too many businesses, government agencies, and military operations is a toxic mix of wishful thinking and a jumble of incoherent policies. Richard P. Rumelt’s breakthrough concept is that leaders become effective strategists when they focus on challenges rather than goals, pinpointing the crux of their pivotal challenge—the aspect that is both surmountable and promises the greatest progress—and taking decisive, coherent action to overcome it.

How Countries Go Broke also shows how these debt problems are related to the other forces—political within countries, geopolitical between countries, natural (droughts, floods, and pandemics), and technological (most importantly, AI)—that together are causing what Dalio calls the “Overall Big Cycle” changes in the world order. By listening this audiobook, you will improve your understanding of what’s happening now and what to do about it.

In The Optimist, the Wall Street Journal reporter Keach Hagey presents the most detailed account yet of Altman’s rise, from his precocious childhood in St. Louis to his first, failed startup experience; his time as legendary entrepreneur Paul Graham’s protégé and successor as head of Y Combinator, the start-up accelerator where Altman became the premier power broker in Silicon Valley; the founding of OpenAI and his recruitment of a small yet superior team; and his struggle to keep his company at the cutting edge while fending off determined rivals, including Elon Musk.

This book provides the first comprehensive overview of software architecture’s many aspects. Aspiring and existing architects alike will examine architectural characteristics, architectural patterns, component determination, diagramming and presenting architecture, evolutionary architecture, and many other topics. Mark Richards and Neal Ford—hands-on practitioners who have taught software architecture classes professionally for years—focus on architecture principles that apply across all technology stacks.

With artificial intelligence reshaping every business and industry today, who better to reimagine the rules of entrepreneurship than the very team who create groundbreaking companies, teach applied entrepreneurship at top universities, and empower founders with their Entrepreneur Residency program and Audos, the revolutionary AI cofounder for future entrepreneurs? Me, My Customer, and AI is both a roadmap and a rallying cry for the 60 percent of people in the US who have an idea for a new business.

Many professionals aspire to work for a start-up. Yes, start-ups look magical, but they can also be chaotic and inaccessible. Many books are written for those who aspire to be founders, but a company only has one or two of those. What's needed are hundreds of employees to do the day-to-day work. This practical, step-by-step guide provides an insider's analysis of various start-up roles and responsibilities, including product development, marketing, growth strategy, and sales, to help you figure out if you want to join a start-up and what to expect if you do.

Artificial Intelligence has been “just around the corner” for decades, continually disappointing those who long believed in its potential. But now, with the emergence and growing use of ChatGPT, Gemini, and a rapidly multiplying number of other AI tools, many are wondering: Has AI’s moment finally arrived? In AI Valley, Pulitzer Prize-winning journalist Gary Rivlin brings us deep into the world of AI development in Silicon Valley. Over the course of more than a year, Rivlin closely follows founders and venture capitalists trying to capitalize on this AI moment.

Finding the right venture capitalist to back your start-up is a challenge. Even if you manage to get backing, you want your VC to be a partner, not some dictator who will undermine your vision and take control of your life's work. Jeffrey Bussgang is one of a very few people who have played on both sides of this high-stakes game. Now he draws on his unique perspective to offer high-level insights, colorful stories, and practical advice. He reveals how to get noticed, perfect a pitch, and negotiate a partnership that works for everyone.

Are there innovation truisms that hold from one initiative to the next? Are there strategies that appear again and again in the success stories of businesses as varied as gaming and cloud infrastructure? Are there behaviors common to creative leadership in every role, from research to sales? And if these patterns exist, could they be distilled into teachable practices? These are the questions Dean Carignan and JoAnn Garbin, two senior innovation leaders at Microsoft, set out to answer.

Humans have always been good at inventing tools that change the way we live and work—though not always good at adapting to those changes. Consider how the internet has given us instant access to gigabytes of data and yet has made us more distracted. Or how social media has enabled us to be more connected than ever, and yet it can also alienate or isolate us. Will the power of AI create a new era of robotic, impersonal efficiency, or will it catalyze a renaissance, redefining leadership and the world of work?

In The Second Machine Age MIT's Erik Brynjolfsson and Andrew McAfee—two thinkers at the forefront of their field—reveal the forces driving the reinvention of our lives and our economy. As the full impact of digital technologies is felt, we will realize immense bounty in the form of dazzling personal technology, advanced infrastructure, and near-boundless access to the cultural items that enrich our lives. Amid this bounty will also be wrenching change. Recent economic indicators reflect this shift: fewer people are working, and wages are falling even as productivity and profits soar.

Superagency offers a roadmap for using AI inclusively and adaptively to improve our lives and create positive change. While acknowledging challenges like disinformation and potential job changes, the book focuses on AI’s immense potential to increase individual agency and create better outcomes for society as a whole. Imagine AI tutors personalizing education for each child, researchers rapidly discovering cures for diseases like Alzheimer's and cancer, and AI advisors empowering people to navigate complex systems and achieve their goals.

Why do startups fail? That question caught Harvard Business School professor Tom Eisenmann by surprise when he realized he couldn’t answer it. So he launched a multiyear research project to find out. In Why Startups Fail, Eisenmann reveals his findings: six distinct patterns that account for the vast majority of startup failures.

Hi, I’m Wes Bush, founder of the Product-Led Institute. And in Product-Led Growth, I show you how you can cut your acquisition costs and scale further than you ever thought possible...by making your product the tool that helps you acquire, convert, and retain customers. But what does it mean to be "product-led"? How do you know if a product-led growth strategy makes sense for your business? And most importantly, how do you execute it? You’ll find answers to all of these questions inside this audiobook.

Columbia Business School professor Sandra Matz reveals in fascinating detail how big data offers insights into the most intimate aspects of our psyches and how these insights empower an external influence over the choices we make. This can be creepy, manipulative, and downright harmful, with scandals like that of British consulting firm Cambridge Analytica being merely the tip of the iceberg.

Unbundling the Enterprise provides a blueprint for organizations to remain relevant and maximize growth in the digital economy by embracing the flexibility and optionality enabled by APIs. Drawing on real-world examples of both innovative “digital pirates” and legacy “digital settlers,” authors Stephen Fishman and Matt McLarty articulate strategies to unbundle business capabilities into reusable digital assets.

Drawing from her experience at Google and Meta, Dr. Marily Nika delivers the definitive guide for product managers building AI and GenAI powered products. Packed with smart strategies, actionable tools, and real-world examples, this book breaks down the complex world of AI agents and generative AI products into a playbook for driving innovation to help product leaders bridge the gap between niche AI and GenAI technologies and user pain points.

In November 2022, a webpage was posted online with a simple text box. It was ChatGPT, and was unlike any app people had used before. It was more human than a customer service agent, more convenient than a Google search. Behind the scenes, battles for control and prestige between the world’s two leading AI firms, OpenAI and DeepMind, who now steers Google's AI efforts, has remained elusive—until now.

In How To Think About AI, Richard Susskind draws on his experience of working on AI since the early 1980s. For Susskind, balancing the benefits and threats of artificial intelligence is the defining challenge of our age. He explores the history of AI and possible scenarios for its future. His views on AI are not always conventional. He positions ChatGPT and generative AI as no more than the latest chapter in the ongoing story of AI and claims we are still at the foothills of developments.