Computer Business

Generative AI: The Insights You Need from Harvard Business Review will help you understand the potential of these new technologies, pick the right Gen AI projects, and reinvent your business for the new age of AI.

For years, consumers have been promised a simple, carefree digital future. We could live, work, learn, and play from the comforts of our homes, and have whatever we desire brought to our door with the flick of a finger. Instant communication would bring us together. Technological convenience would give us more time to focus on what really mattered. When the pandemic hit, that future transformed into the present, almost overnight. And the reviews aren't great.

Benefits of listening to this book: Discover how to use AI ChatGPT to create engaging content, market products, and increase productivity.

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.

Jeff Hawkins, the man who created the PalmPilot, Treo smart phone, and other handheld devices, has reshaped our relationship to computers. Now he stands ready to revolutionize both neuroscience and computing in one stroke, with a new understanding of intelligence itself.

High-tech innovations are created at a dazzling speed, and it all points to a world that is getting faster at a dizzying pace. Azeem Azhar knows this better than most. Over the last three decades, he has founded companies bought by Amazon and Microsoft, served as the Economist’s first ever internet correspondent, and created a leading international tech newsletter and podcast, the Exponential View. Now, Azhar offers a revelatory new model for understanding how technology is changing the world.

Artificial intelligence is no longer the stuff of science fiction—it's a tangible, transformative force reshaping industries and redefining business success. Yet for many business leaders, the journey from curiosity to AI implementation can be daunting. Where do you start? How do you navigate the technical jargon and hype? And, most importantly, how can you leverage AI to boost profits, streamline operations and gain a competitive edge?

Even before the COVID-19 pandemic, digital technologies had become deeply embedded in children’s lives, despite a growing body of research detailing the harms of excessive immersion in the unregulated, powerfully seductive, profit-driven world of the “kid-tech” industry. In Who’s Raising the Kids? Linn—one of the world’s leading experts on the impact of Big Tech and big business on children—explores the roots and consequences of this monumental shift toward a digitized, commercialized childhood, focusing on kids’ values, relationships, and learning.

In 2004 Kentaro Toyama, an award-winning computer scientist, moved to India to start a new research group for Microsoft. Its mission: to explore novel technological solutions to the world's persistent social problems. But after a decade of designing technologies for humanitarian causes, Toyama concluded that no technology, however dazzling, could cause social change on its own.

Generative AI is rewriting the rulebook with its seemingly endless capabilities, from crafting intricate industrial designs, writing computer code, and producing mesmerizing synthetic voices to composing enchanting music and innovating genetic breakthroughs. In Generative AI in Practice, renowned futurist Bernard Marr offers listeners a deep dive into the captivating universe of GenAI. This comprehensive guide introduces you to the basics of this groundbreaking technology and outlines the profound impact that GenAI will have on business and society.

New York Times tech reporter Kashmir Hill was skeptical when she got a tip about a mysterious app called Clearview AI that claimed it could, with 99 percent accuracy, identify anyone based on just one snapshot of their face. The app could supposedly scan a face and, in just seconds, surface every detail of a person’s online life: their name, social media profiles, friends and family members, home address, and photos that they might not have even known existed.

High performing organizations see better results than their contemporaries and have more satisfied employees. This book clarifies this unique point in history where key technologies like AI, collaboration platforms, and low code development have converged to transform project and work management and provides practical strategies for seizing this moment to become a higher performing organization with happier people. In the ever-evolving landscape of business and technology, project management stands as a critical pillar, orchestrating the rhythm of progress and innovation.

Ten years ago the idea of getting into a stranger's car or walking into a stranger's home would have seemed bizarre and dangerous, but today it's as common as ordering a book online. Uber and Airbnb have ushered in a new era: redefining neighborhoods, challenging the way governments regulate business, and changing the way we travel. In the spirit of iconic Silicon Valley renegades like Steve Jobs and Bill Gates, another generation of entrepreneurs is using technology to upend convention and disrupt entire industries.

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.

As Vikram Mansharamani shows in this eye-opening book, our complex, data-flooded world has made us ever more reliant on experts, protocols, and technology. We've stopped thinking for ourselves. Of course, experts, protocols, and computer-based systems are essential to helping us make informed decisions. What we need is a new approach for integrating these information sources more effectively. The author provides principles and techniques for doing just that, empowering listeners with a more critical and nuanced approach to making decisions.

Decision intelligence (DI) has been widely named as a top technology trend for several years, and Gartner reports that more than a third of large organizations are adopting it. Some even say that DI is the next step in the evolution of AI. Many software vendors offer DI solutions today, as they help organizations implement their evidence-based or data-driven decision strategies. But until now, there has been little practical guidance for organizations to formalize decision making and integrate their decisions with data. With this book, authors L. Y. Pratt and N. E. Malcolm fill this gap.

The high-energy tale of how two socially awkward Ivy Leaguers, trying to increase their chances with the opposite sex, ended up creating Facebook. Eduardo Saverin and Mark Zuckerberg were Harvard undergraduates and best friends - outsiders at a school filled with polished prep-school grads and long-time legacies. They shared both academic brilliance in math and a geeky awkwardness with women. The Accidental Billionaires is a compulsively listenable story of innocence lost - and of the unusual creation of a company that has revolutionized the way people relate to one another.

AI-First companies are the only trillion-dollar companies, and soon they will dominate even more industries, more definitively than ever before. These companies succeed by design--they collect valuable data from day one and use it to train predictive models that automate core functions. As a result, they learn faster and outpace the competition in the process. Thankfully, you don't need a PhD to learn how to win with AI. In The AI-First Company, internationally-renowned startup investor Ash Fontana offers an executable guide for applying AI to business problems.

Web3 Marketing: A Handbook for the Next Internet Revolution is the essential book for anyone looking to understand the next era of the internet and start building. Beyond the sensational hype and headlines around crypto and NFTs, a real revolution is taking place: new technologies for owning, moving, and organizing value spell the overdue end of an internet where a few huge companies hoard data and power, and open a new frontier for products, services, and applications in which ownership and control belongs to creators, builders, and users.

Digital transformation of the business landscape is well underway, and businesses are being reshaped faster than ever before. Agility and adaptability are now critical components of these businesses' survival. But building these traits requires a holistic approach with an unrelenting focus on automation. How does one go about developing that focus? Vijay Tella, Scott Brinker, and Massimo Pezzini deliver a guide to implementing automation in the real world, avoiding jargon and vague bromides in favor of concrete examples.