Titres dans Informatique

AI Blueprint for Beginners is a no-jargon, step-by-step guide for freelancers, solopreneurs, and creatives who want AI to work for them, not against them. No tech overwhelm. No endless trends to chase. Just practical tools to save time, reduce burnout, and get back to what matters most.

The convergence of Artificial Intelligence and Software-as-a-Service represents one of the most significant technological shifts of our time. As we stand at the intersection of these two revolutionary paradigms, we witness the emergence of a new category of business solutions that promise to reshape industries, redefine competitive advantages, and fundamentally alter how organizations operate.

If you’ve tried side hustles, freelancing, or creating digital products only to burn out or give up, this is the audiobook you’ve been waiting for. ChatGPT Money Machine is a step-by-step, burnout-proof guide to turning AI into real income—even if you’re not “techy,” don’t have a niche, and have failed with other online income ideas before.

Reduce your work hours and take the first step toward a more efficient, engaging, and fulfilling teaching career. In a world where accessing information has never been easier, the true art of teaching remains invaluable. As an educator, your role is essential, guiding students’ growth and igniting their curiosity. Yet, as the demands of education continue to increase, you may find yourself drowning under an avalanche of tasks and administrative duties. What you need is an intelligent assistant who can take over time-consuming tasks, allowing you to focus on what you do best: teaching.

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Whether you're a complete beginner or a curious entrepreneur, this action-packed guide reveals how to harness ChatGPT, DeepSeek AI, and other cutting-edge tools to build automated income streams, launch profitable side hustles, and grow a small business in today’s digital economy.

The AI Mastery 3-in-1 Collection is your roadmap to go from experimenting with AI to building a cash-generating machine powered by automation, precision, and creativity. Whether you’re brand new or already using ChatGPT, this collection bridges the gap between potential and profit.

You’re creative, smart, and fast—so why does AI still give you "meh" results? This audiobook gives you a clear, repeatable system to prompt with confidence and get better output every time—without wasting hours rewriting and re-prompting.

AI Business Revolution is your field guide to using ChatGPT and today’s most powerful AI tools to streamline your business, multiply productivity, and outpace your competition — even if you have no tech background. Think AI is just for tech giants or software geeks? Think again. The only real risk is ignoring it. This book is for entrepreneurs, solopreneurs, and business leaders who don’t have time to waste but do want to lead the wave instead of getting swept under it.

Dr. Topol’s unprecedented, evidenced-based guide is about how you and your family and friends can benefit from new treatments coming available at a faster rate than ever. From his unique position as a leader overseeing millions in research funding, Dr. Topol also explains the fundamental reasons—from semaglutides to AI—that we can be confident these breakthroughs will continue. Ninety-five percent of Americans over sixty have at least one chronic disease and almost as many have two. That is the essential problem this revolution is solving.

The greatest tool is the hardest to use. Machine learning is the world's most important general-purpose technology—but it's notoriously difficult to launch. Outside Big Tech and a handful of other leading companies, machine learning initiatives routinely fail to deploy, never realizing value. What's missing? A specialized business practice suitable for wide adoption. In The AI Playbook, bestselling author Eric Siegel presents the gold-standard, six-step practice for ushering machine learning initiatives, aka predictive AI projects, from conception to deployment.

Is artificial intelligence going to take over the world? Have big tech scientists created an artificial lifeform that can think on its own? Is it going to put authors, artists, and others out of business? Are we about to enter an age where computers are better than humans at everything? The answer to these questions, linguist Emily M. Bender and sociologist Alex Hanna make clear, is “no,” “they wish,” “LOL,” and “definitely not.” This kind of thinking is a symptom of a phenomenon known as “AI hype.”

Will AI lead to the transformation of society as we know it, or bring about its destruction?

A decade ago, developers built information-sharing software by writing a lot of custom code in a single code base, then adding layers of caching. Now we build information systems: interdependent software and services, data platforms, and event streams. Many of our software-to-systems initiatives fail, though, and when they do, we double down on traditional linear approaches. But linear thinking cannot resolve systems challenges. We need to shift to systems thinking.

A lo largo del último siglo, la humanidad ha logrado lo imposible frenando la hambruna, la peste y la guerra. Por primera vez en la historia, más personas mueren por obesidad que por pasar hambre y hay más probabilidades de quitarse la vida que de morir en un conflicto bélico o un atentado terrorista.

In the popular imagination, superhuman artificial intelligence is an approaching tidal wave that threatens not just jobs and human relationships, but civilization itself. Conflict between humans and machines is seen as inevitable and its outcome all too predictable. In this groundbreaking audiobook, distinguished AI researcher Stuart Russell argues that this scenario can be avoided, but only if we rethink AI from the ground up. Russell begins by exploring the idea of intelligence in humans and in machines.

As it absorbs data, gains agency, and intermediates between humans and reality, AI will help us to address enormous crises, from climate change to geopolitical conflicts to income inequality. It might well solve some of the greatest mysteries of our universe, revolutionize fields as diverse as medicine and architecture, and elevate the human spirit to unimaginable heights. But it will also pose challenges on a scale and of an intensity that we have never seen.

Under the aegis of machine learning in our data-driven machine age, computers are programming themselves and learning about - and solving - an extraordinary range of problems, from the mundane to the most daunting. Today it is machine learning programs that enable Amazon and Netflix to predict what users will like, Apple to power Siri's ability to understand voices, and Google to pilot cars.

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.

An innovative trend combining technology with economics is unraveling behemoth industries - including corporations, banks, farms, media conglomerates, energy systems, governments, and schools - that have long dominated business and society. Size and scale have become a liability. A new generation of upstarts is using artificial intelligence to automate tasks that once required expensive investment, and "renting" technology platforms to build businesses for hyper-focused markets, enabling them to grow big without the bloat of giant organizations.