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Want to Implement AI Agents in Your Organization? Heard of Agentic AI & Wonder What It Is About? Need a No-BS Guide to Implementing AI Agents Today? If you answered yes to any of these questions, then keep reading ... Amazon-bestselling author and AI consultant David M. Patel is going to show in this comprehensive hands-on executive guide to AI Agents everything you need to know to implement and harness the full potential of AI Agents & Agentic AI in your organization.

When molecular biologist Becky McClain raised urgent alarms about biosafety lapses at her biotech lab at Pfizer, she expected concern—not retaliation. Instead, her warnings about dangerous, genetically engineered viruses that were handled without following standard safety protocols were met with hostility, intimidation, and ultimately, devastating illness after a workplace exposure changed her life forever.

In Understanding Artificial Intelligence: Of Minds and Machines, philosopher Patrick Grim traces the story of AI from ancient legends to the neural networks behind today’s breakthroughs. You see how modern systems became so powerful so quickly. You also explore the very meaning of “intelligence,” discovering how modern AI succeeds by drawing on three resources: vast datasets that let systems learn from examples; deep-learning architectures loosely modeled on the brain’s layers; and feedback loops that help models refine their behavior.

NEW YORK TIMES BESTSELLER USA TODAY BESTSELLER Amazon, Apple, Facebook, and Google are the four most influential companies on the planet. Just about everyone thinks they know how they got there. Just about everyone is wrong. For all that’s been written about the Four over the last two decades...

Confused about AI and worried about what it means for your future and the future of the world? You're not alone. AI is everywhere—and few things are surrounded by so much hype, misinformation, and misunderstanding. In AI Snake Oil, computer scientists Arvind Narayanan and Sayash Kapoor cut through the confusion to give you an essential understanding of how AI works, why it often doesn't, where it might be useful or harmful, and when you should suspect that companies are using AI hype to sell AI snake oil—products that don't work, and probably never will.

When it comes to choosing, using, and maintaining a database, understanding its internals is essential. But with so many distributed databases and tools available today, it's often difficult to understand what each one offers. With this practical guide, Alex Petrov guides developers through the concepts behind modern database and storage engine internals.

In April 1956, a refitted oil tanker carried 58 shipping containers from Newark to Houston. From that modest beginning, container shipping developed into a huge industry that made the boom in global trade possible. The Box tells the dramatic story of the container's creation, the decade of struggle before it was widely adopted, and the sweeping economic consequences of the sharp fall in transportation costs that containerization brought about.

Artificial intelligence (AI) and performance expert Josh Cavalier shares his in-depth knowledge and skills to help L&D professionals master learning experience design by using generative AI in their employee learning and development efforts. More than just a technical manual on generative AI or a collection of best prompt practices, this book explores how AI is reshaping jobs, skill development, and human performance. Cavalier provides his Learning and Development AI Ecosystem framework as a practical road map for integrating AI into your day-to-day work and your organization.

T2Vの開発元の株式会社プログマインド代表取締役の 濁川武郷氏にインタビューしています。

From gunpowder to generative AI, the forces of disruption are repeatedly rewriting the rules of business, society, and human possibility. But what drives these revolutionary changes? In Epic Disruptions, innovation expert Scott Anthony weaves together the stories behind history's most transformative disruptions.

The bestselling book on Python deep learning, now covering generative AI, Keras 3, PyTorch, and JAX! Deep Learning with Python (Third Edition) puts the power of deep learning in your hands. This new edition includes the latest Keras and TensorFlow features, generative AI models, and added coverage of PyTorch and JAX. Learn directly from the creator of Keras and step confidently into the world of deep learning with Python.

Managing people is difficult wherever you work. But in the tech industry, where management is also a technical discipline, the learning curve can be brutal - especially when there are few tools, texts, and frameworks to help you. In this practical guide, author Camille Fournier (tech lead turned CTO) takes you through each stage in the journey from engineer to technical manager. 

What do you need to know to be a successful software engineer? Undergraduate curricula and bootcamps may teach the fundamentals of algorithms and writing code, but they rarely cover topics vital to your career advancement. With this practical book, you'll learn the skills you need to succeed and...

In their bestselling first book, Prediction Machines, eminent economists Ajay Agrawal, Joshua Gans, and Avi Goldfarb explained the simple yet game-changing economics of AI. Now, in Power and Prediction, they go deeper, examining the most basic unit of analysis: the decision. The authors explain that the two key decision-making ingredients are prediction and judgment, and we perform both together in our minds, often without realizing it.

This book lavishly illustrates the first 50 years of Apple’s history through stunning, full-color photographs. Instant New York Times Bestseller In time for Apple’s 50th anniversary, CBS Sunday Morning correspondent David Pogue tells the iconic company’s entire life story: how it was born...

現在の日本経済を覆っているデフレは、たんなる景気循環による不景気ではない。かつての驚異的な高度成長のベースにあった産業資本主義が形を変え、ポスト産業資本主義に変質しつつある大転換に、日本の「会社」がうまく対応できないために起こっているのだ。日本が二十一世紀を生き抜くためには、産業資本主義時代のまま生き残っている個々の「会社」の仕組みを根本から洗い直し、新しい資本主義にふさわしい形にしていかなければならない。本書は、会社の仕組みを基礎の基礎からやさしく説き起こし、経営者、サラリーマン、そして、これから就職する学生諸氏が、新しい資本主義にふさわしい会社のあり方、新しい働き方を考えるヒントを提供する。第1章　なぜいま、日本の会社はリストラをするのか

NEW YORK TIMES BESTSELLER Celebrated futurist Ray Kurzweil presents an “elaborate, smart, and persuasive” (The Boston Globe) view of the future course of human development. “Artfully envisions a breathtakingly better world.”—Los Angeles Times “Startling in scope and bravado...

スマホを“悪者”にするのは親の無知「プログラミング教室」だけが正解ではないITアレルギーの保護者必読!家庭でできる、デジタル社会で群を抜いて活躍する子の育て方

■因果を求めない人工知能の世界 先日、人工知能に関する事業をしている人と合う機会がありました。 僕の会社が展開している採用系のサービスでも、人工知能などを用いることで、 マッチング部分でもっと手間を省いた方が絶対にいいと思っている。会社側がどういった人を求めているのか、応募者がどういった会社を望んでいるのかっていうことは、履歴書にたくさん文章を書けば伝わる問題でもないから。 もちろん最後は人間が面談することが必要なんだけど、その手前で機械ができる ことの精度を高められれば、可能性が広がるんじゃないかな。 例えばビッグデータやディープラーニング。これらは、今のトレンドといっちゃ あトレンドです。大量のデータを処理することで、あらゆることの確率が表で表 せるようになる。」(本文より) 家入一真　「家入学級」はこちらから→ http://yakan-hiko.com/ieiri.html

In The AI Advantage, Thomas Davenport offers a guide to using artificial intelligence in business. He describes what technologies are available and how companies can use them for business benefits and competitive advantage. He cuts through the hype of the AI craze - remember when it seemed plausible that IBM's Watson could cure cancer? - to explain how businesses can put artificial intelligence to work now, in the real world.