Why do some products capture our attention, while others flop? What makes us engage with certain products out of habit? Is there a pattern underlying how technologies hook us? This audiobook introduces listeners to the "Hooked Model", a four-step process companies use to build customer habits. Through consecutive cycles through the hook, successful products reach their ultimate goal of bringing users back repeatedly - without depending on costly advertising or aggressive messaging.

Few companies in history have ever been as successful and as admired as Google, the company that has transformed the Internet and become an indispensable part of our lives. How has Google done it? Veteran technology reporter Steven Levy was granted unprecedented access to the company, and in this revelatory book he takes listeners inside Google headquarters - the Googleplex - to explain how Google works.

From one of our leading technology thinkers and writers, a guide through the 12 technological imperatives that will shape the next 30 years and transform our lives. Much of what will happen in the next 30 years is inevitable, driven by technological trends that are already in motion. In this fascinating, provocative new book, Kevin Kelly provides an optimistic road map for the future, showing how the coming changes in our lives - from virtual reality in the home to an on-demand economy to artificial intelligence embedded in everything we manufacture.

Bold is a radical, how-to guide for using exponential technologies, moonshot thinking, and crowd-powered tools to create extraordinary wealth while also positively impacting the lives of billions.

Whether you're a seasoned investor or just getting started, Metaverse Mastery is your essential guide to understanding, navigating, and profiting from the metaverse. With clear explanations and expert insights, this book will help you unlock the full potential of these transformative technologies.

Artificial intelligence does the seemingly impossible - driving cars, trading stocks, and teaching children. But facing the sea change that AI will bring can be paralyzing. How should companies set strategies, governments design policies, and people plan their lives for a world so different from what we know? In Prediction Machines, three eminent economists recast the rise of AI as a drop in the cost of prediction. With this single, masterful stroke, they lift the curtain on the AI-is-magic hype and show how basic tools from economics provide clarity about the AI revolution and a basis for action by CEOs, managers, policy makers, investors, and entrepreneurs.

When people talk about the future, they usually mean virtual reality. The reason is that when you say "the future", most people think of science fiction, and nearly all SF takes place in a virtual space. The word metaverse is actually an old term for cyberspace - the virtual environment that exists on computers. So, you could argue that the metaverse and cyberspace are virtually the same things. Metaverse has the slick ring of the future around it, but in reality, it refers to past or present realities, not just a future vision.

Machine learning is changing the world. You use machine learning every day and probably don’t know it. In this audiobook, you will learn how ML grew from a desire to make computers able to learn.

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.

Artificial Intelligence helps choose what books you buy, what movies you see, and even who you date. It puts the "smart" in your smartphone and soon it will drive your car. It makes most of the trades on Wall Street, and controls vital energy, water, and transportation infrastructure. But Artificial Intelligence can also threaten our existence. In as little as a decade, AI could match and then surpass human intelligence. Corporations and government agencies are pouring billions into achieving AI’s Holy Grail - human-level intelligence.

The Google Story is the definitive account of the populist media company powered by the world's most advanced technology that in a few short years has revolutionized access to information about everything for everybody everywhere.

Moatti - a technologist and industry insider - says these kinds of mobile apps adhere to three universal principles: They must have a simple design, enable the user to personalize them, and be continually improved by their makers through relentless attention to analytics. She uses examples from a host of great mobile app creators - Facebook, Yelp, Lyft, Tinder, Aerbnb, Trulia, WhatsApp, and more - to demonstrate how it's done.

We are living in a world in which cows send texts to farmers when they're in heat, where the most valuable real estate in New York City houses computers, not people, and some of humanity's greatest works are created by crowds, not individuals. We are in the midst of a networking revolution - set to transform the way we access the world's information and the way we connect with one another. Studying biological systems is perhaps the best way to understand such networks, and nature has a lesson for us if we care to listen: Bigger is rarely better in the long run.

When most of us think about artificial intelligence, our minds go straight to cyborgs, robots, and sci-fi thrillers where machines take over the world. But the truth is that artificial intelligence is already among us. It exists in our smartphones, fitness trackers, and refrigerators that tell us when the milk will expire. In some ways the future people dreamed of at the World's Fair in the 1960s is already here. We're teaching our machines how to think like humans, and they're learning at an incredible rate.

In December 2009, Google began customizing its search results for each user. Instead of giving you the most broadly popular result, Google now tries to predict what you are most likely to click on. According to MoveOn.org board president Eli Pariser, Google's change in policy is symptomatic of the most significant shift to take place on the Web in recent years: the rise of personalization.