Machine Intelligence

World Economic Forum Founder and Executive Chairman Klaus Schwab offers a practical companion and field guide to his previous book, The Fourth Industrial Revolution. Today, technology is changing everything--how we relate to one another, the way we work, how our economies and goverments function...

Eliezer Yudkowsky’s Inadequate Equilibria is a sharp and lively guidebook for anyone questioning when and how they can know better, and do better, than the status quo. Freely mixing debates on the foundations of rational decision-making with tips for everyday life, Yudkowsky explores the central question of when we can (and can’t) expect to spot systemic inefficiencies, and exploit them.

Stellen Sie sich ein Tool vor, das nie müde wird, analytisch denkt, Kreativität anregt und sich an Ihre spezifischen Bedürfnisse anpasst. ChatGPT ist ein revolutionärer Partner, der bereit ist, Ihre Arbeit in den Bereichen Wirtschaft, Technologie, Inhalte, Bildung, Gesundheitswesen und darüber hinaus auf ungeahnte Höhen zu heben.

Ready to turn ChatGPT into your personal income engine? This book is your ultimate shortcut to launching profitable AI-powered side hustles—fast. Whether you're looking to escape the 9-to-5, boost your existing business, or create a new stream of income from scratch, this book gives you the tools to earn, automate, and scale—all powered by ChatGPT.

Tap into the future of wealth creation with the power of ChatGPT and AI-driven automation, and unlock new ways to elevate your financial success beyond imagination…

Take a data-first and use-case-driven approach with Low-Code AI to understand machine learning and deep learning concepts. This hands-on guide presents three problem-focused ways to learn no-code ML using AutoML, low-code using BigQuery ML, and custom code using scikit-learn and Keras. In each case, you'll learn key ML concepts by using real-world datasets with realistic problems.

Written by bestselling author Tom Davenport and Deloitte's Nitin Mittal, All-In on AI looks at artificial intelligence at its cutting edge from the viewpoint of established companies like Anthem, Ping An, Airbus, and Capital One. Filled with insights, strategies, and best practices, All-In on AI also provides leaders and their teams with the information they need to help their own companies take AI to the next level.

A comprehensive guide to successful event management, this audiobook serves as a valuable resource for both beginners and seasoned professionals, equipping them with the tools needed to plan, execute, and evaluate memorable events. The guide takes listeners through a deep exploration of understanding their audience, conceptualizing resonant events, managing budgets, procuring vendors, effectively marketing, and embracing technology. It also emphasizes the power of networking and the importance of post-event evaluation for continuous improvement.

Large language models (LLMs) are not just shaping the trajectory of AI, they're also unveiling a new era of security challenges. This practical book takes you straight to the heart of these threats. Author Steve Wilson, chief product officer at Exabeam, focuses exclusively on LLMs, eschewing generalized AI security to delve into the unique characteristics and vulnerabilities inherent in these models.

Karl Albrecht defines social intelligence (SI) as the ability to get along well with others while winning their cooperation. SI is a combination of sensitivity to the needs and interests of others, sometimes called your "social radar", an attitude of generosity and consideration, and a set of practical skills for interacting successfully with people in any setting. Social Intelligence provides a highly accessible and comprehensive model for describing, assessing, and developing social intelligence at a personal level.

In Large Language Model-Based Solutions: How to Deliver Value with Cost-Effective Generative AI Applications, Principal Data Scientist at Amazon Web Services, Shreyas Subramanian, delivers a practical guide for developers and data scientists who wish to build and deploy cost-effective large language model (LLM)-based solutions. In the book, you'll find coverage of a wide range of key topics, including how to select a model, pre- and post-processing of data, prompt engineering, and instruction fine-tuning.

This comprehensive guide covers the ten most significant AI model families that are shaping our technological future: OpenAI's ChatGPT series, Google's Gemini models, Meta's Llama family, xAI's Grok systems, China's DeepSeek breakthrough models, Anthropic's Claude series, Microsoft's Copilot ecosystem, MiniMax's innovative video and text models, Moonshot's Kimi long-context pioneers, and Alibaba's multilingual Qwen family.

ChatGPT Mastery: 12 Books in 1 is a comprehensive guide that encapsulates the breadth and depth of using ChatGPT across a range of professional contexts. This book empowers you with the knowledge to unlock the capabilities of ChatGPT, providing an unmatched competitive edge in your field.

Curious about AI, but unsure how it works? Want to tap into the lucrative potential of this rapidly advancing technology? Unlock the immense potential of AI with this transformative book! Welcome to Fundamentals of Artificial Intelligence & Large Language Models, the second in a series of books crafted to help you join a movement toward a more financially fruitful future.

In the year 1600, a monk is burned at the stake for claiming to have built a device that will allow him to know all things. 350 years later, having witnessed 'Trinity' — the first test of the atomic bomb — America's leading scientist outlines a memory machine that will help end war on earth. 25 years in the making, an ex-soldier finally unveils this 'machine for augmenting human intellect', dazzling as he stands 'Zeus-like, dealing lightning with both hands'.

Harry Potter meets The Terminator in this action-packed adventure about a young man who discovers that everything he believed about his world is a lie. The year is 2120. The humans are dead. The mages have retreated from the world after a madman blew up civilization with weaponized magical...

AI and people do not compete on a level playing field. Self-driving vehicles may be safer than human drivers, but laws often penalize such technology. People may provide superior customer service, but businesses are automating to reduce their taxes. AI may innovate more effectively, but an antiquated legal framework constrains inventive AI. In The Reasonable Robot, Ryan Abbott argues that the law should not discriminate between AI and human behavior and proposes a new legal principle that will ultimately improve human well-being.

Celebrated data-driven growth leader Lillian Pierson delivers a masterclass in developing custom strategies to harness the full potential of data and AI within your organization. This book offers a clear, actionable roadmap for leveraging your company's data and technology assets to drive significant, reliable growth.

Our beliefs constitute a large part of our knowledge of the world. We have beliefs about objects, about culture, about the past, and about the future. We have beliefs about other people, and we believe that they have beliefs as well. We use beliefs to predict, to explain, to create, to console, to entertain. Some of our beliefs we call theories, and we are extraordinarily creative at constructing them. Theories of quantum mechanics, evolution, and relativity are examples.

AI-Powered Customer Experience, The Future of Call Center Excellence. Future belongs to organizations that understand how to measure what matters: customer lifetime value, emotional satisfaction, effort reduction, and the seamless orchestration of human and artificial intelligence working together. Thirty years ago, when I first stepped into a call center, success was measured by how many calls an agent could handle per hour. The faster you moved customers along, the better your numbers looked.