検索キーワード： コンピュータ・テクノロジー

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3章　会社の仕組み

In her new audiobook, Invisible Women, award-winning campaigner and writer Caroline Criado Perez shows us how, in a world largely built for and by men, we are systematically ignoring half the population. She exposes the gender data gap - a gap in our knowledge that is at the root of perpetual, systemic discrimination against women and that has created a pervasive but invisible bias with a profound effect on women’s lives.

Currently used by more than 1.1 million organizations worldwide, the international standard ISO 9001:2015 is the world’s most established quality framework. ISO 9001:2015 - A Pocket Guide is a handy reference audiobook that provides an overview of the ISO 9001 quality management standard.

How do you detangle a monolithic system and migrate it to a microservice architecture? How do you do it while maintaining business-as-usual? As a companion to Sam Newman’s extremely popular Building Microservices, this new book details a proven method for transitioning an existing monolithic system to a microservice architecture.

The first time I used a computer, it intrigued me to know how these interfaces work. In this audiobook, you’ll learn the same way I did.

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.

Throughout history, technological change — whether it takes the form of agricultural improvements in the Middle Ages, the Industrial Revolution, or today’s artificial intelligence — has been viewed as a main driver of prosperity, working in the public interest. The reality, though, is that technology is shaped by what powerful people want and believe, generating riches, social respect, cultural prominence, and further political voice for those already powerful. For most of the rest of us, there is the illusion of progress.

Innovation is the main event of the modern age, the reason we experience both dramatic improvements in our living standards and unsettling changes in our society. It is innovation that will shape the 21st century. Yet innovation remains a mysterious process, poorly understood by policy makers and businessmen alike. Matt Ridley argues that we need to see innovation as an incremental, bottom-up, fortuitous process that happens as a direct result of the human habit of exchange, rather than an orderly, top-down process developing according to a plan.

If you're looking to make a career move from programmer to AI specialist, this is the ideal place to start. Based on Laurence Moroney's extremely successful AI courses, this introductory book provides a hands-on, code-first approach to help you build confidence while you learn key topics.

After discussing what an algorithm does and how its effectiveness can be measured, Louridas covers three of the most fundamental applications areas: graphs, which describe networks, from eighteenth-century problems to today's social networks; searching, and how to find the fastest way to search; and sorting, and the importance of choosing the best algorithm for particular tasks. He then presents larger-scale applications: PageRank, Google's founding algorithm; and neural networks and deep learning.

Terrence Sejnowski offers a nuanced exploration of large language models (LLMs) like ChatGPT and what their future holds. How should we go about understanding LLMs? Do these language models truly understand what they are saying? Or is it possible that what appears to be intelligence in LLMs may be a mirror that merely reflects the intelligence of the interviewer? In this book, Sejnowski, a pioneer in computational approaches to understanding brain function, answers all our urgent questions about this astonishing new technology.

Charles Eisenstein explores the history and potential future of civilization, tracing the converging crises of our age to the illusion of the separate self. He argues that our disconnection from one another and the natural world has mislaid the foundations of science, religion, money, technology, economics, medicine, and education as we know them. It has fired our near-pathological pursuit of technological Utopias even as we push ourselves and our planet to the brink of collapse.

User story mapping is a valuable tool for software development, once you understand why and how to use it. This insightful book examines how this often misunderstood technique can help your team stay focused on users and their needs without getting lost in the enthusiasm for individual product features. Author Jeff Patton shows you how changeable story maps enable your team to hold better conversations about the project throughout the development process. Your team will learn to come away with a shared understanding of what you’re attempting to build and why.

先日、とある雑誌の企画で、いわゆる「お掃除ロボット」を使わせていただく機会がありました。正直、これまであまり必要性を感じたことはなかったのですが、使ってみると非常に面白かった。 ただ、僕の自宅で使い続けるにはひとつだけ、大問題がありました。それはお掃除ロボットが部屋を動き回るたびに、インコの「おもち」が、引きつけを起こしそうなぐらいに怖がってしまうということです。お掃除ロボットも捨て難いけれど、「おもち」はまぁ義理のある以前からの同居人（鳥）ですからね。残念ながら我が家で使い続けるのは不可能！　ということになり、大阪出張のついでに、母親に譲ることにしました。 私の母親も80歳を超えていて、僕としては「お掃除ロボットなんて、使い方わかるのかなぁ？」と半信半疑だったんですが、ふたを開ければすごく喜んでくれました。よく考えてみればうちの母親は掃除や洗濯といった家事が大の苦手。彼女にとっては、「勝手に掃除をしてくれるロボット」というのは、文字通り夢のような家電！　ということなのでしょう。(本文より） 名越康文の生きるための対話（dialogue）はこちらから→http://yakan-hiko.com/nakoshi.html

UNIX等のマルチプラットフォームOSの技術者を支援するNPO法人MOSAは、Macintoshの技術者が拠り所とする団体でもあります。この講演録は、そのMOSAが毎年秋に開催する開発者のためのセミナーイベントである、MOSAソフトウェアミーティング2009の基調講演を収録したものです。講演者は、おなじみテクノロジーライターの大谷和利氏。この講演の中で大谷氏は、20年前に提唱された人と人とをつなぐコンピューティング(インターパーソナル・コンピューティング)テクノロジーが、ブロードバンドネットワークやiPhone等のスマートフォン普及により、ようやく現実のものになろうとしていると語り、そのような時代におけるソフトウェア開発のポイントやプロダクトのヒントを紹介しています。またこの先のアップル社の製品展開についての予想も述べています。モバイル・テクノロジーやICTに興味をお持ちの方には、ぜひお読みいただきたい一冊です。(C) NPO法人MOSA/Pamlink Corp.

Becoming a Data Head is a complete guide for data science in the workplace: covering everything from the personalities you’ll work with to the math behind the algorithms. The authors have spent years in data trenches and sought to create a fun, approachable, and eminently bingeable book. Anyone can become a Data Head—an active participant in data science, statistics, and machine learning. Whether you're a business professional, engineer, executive, or aspiring data scientist, this book is for you.

This portable Dummies Essentials book focuses on the key topics you need to know about the popular Python language. Great for supplementing a course, reviewing for a certification, or staying knowledgeable on the job.

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.

Computer science is a field that deals with the study of computers and computational systems. It encompasses both the theoretical and practical aspects of computing, including algorithms, data structures, programming languages, software engineering, and more. It's about understanding how computers work, how they can solve problems, and how they interact with humans and other systems.

As organizations shift from monolithic applications to smaller, self-contained microservices, distributed systems have become more fine-grained. But developing these new systems brings its own host of problems. This expanded second edition takes a holistic view of topics that you need to consider when building, managing, and scaling microservices architectures. Through clear examples and practical advice, author Sam Newman gives everyone from architects and developers to testers and IT operators a firm grounding in the concepts.