Computer Science Technology

Education is on the brink of a paradigm shift; will you be the catalyst that propels it into a new era of impact and understanding? AI is the driving force behind transformative waves rippling through every sector, from healthcare to finance, and education is poised to reap its boundless benefits. This surge of intelligence is not merely a trend; it's a revolutionary stride reshaping our world.

This book predicts the decline of today's professions and describes the people and systems that will replace them. In an Internet society, according to Richard Susskind and Daniel Susskind, we will neither need nor want doctors, teachers, accountants, architects, the clergy, consultants, lawyers, and many others to work as they did in the 20th century.

Businesses own more data than ever before, but it's of no value if you don't know how to use it. Data governance manages the people, processes, and strategy needed for deploying data projects to production. But doing it well is far from easy: Less than one fourth of business leaders say their organizations are data driven. In Designing Data Governance from the Ground Up, you'll build a cross-functional strategy to create roadmaps and stewardship for data-focused projects, embed data governance into your engineering practice, and put processes in place to monitor data after deployment.

Artificial intelligence is everywhere—powering news feeds, curating search results, and invisibly steering our lives. We talk to it and, increasingly, it talks back. And sometimes, its answers seem eerily smart, until they don't.

Unlock the transformative potential of generative AI for your enterprise with "Understanding Generative AI for Business Leaders." This indispensable guide simplifies the complex world of AI, offering a beginner-friendly introduction and practical strategies for effective and ethical integration.

Even before the COVID-19 pandemic, digital technologies had become deeply embedded in children’s lives, despite a growing body of research detailing the harms of excessive immersion in the unregulated, powerfully seductive, profit-driven world of the “kid-tech” industry. In Who’s Raising the Kids? Linn—one of the world’s leading experts on the impact of Big Tech and big business on children—explores the roots and consequences of this monumental shift toward a digitized, commercialized childhood, focusing on kids’ values, relationships, and learning.

In Artificial Unintelligence, Meredith Broussard argues that our collective enthusiasm for applying computer technology to every aspect of life has resulted in a tremendous amount of poorly designed systems. We are so eager to do everything digitally - hiring, driving, paying bills, even choosing romantic partners - that we have stopped demanding that our technology actually work. Broussard, a software developer and journalist, reminds us that there are fundamental limits to what we can (and should) do with technology.

Take advantage of today's sky-high demand for data engineers. With this in-depth book, current and aspiring engineers will learn powerful real-world best practices for managing data big and small. Contributors from notable companies including Twitter, Google, Stitch Fix, Microsoft, Capital One, and LinkedIn share their experiences and lessons learned for overcoming a variety of specific and often nagging challenges. Edited by Tobias Macey, this book presents ninety-seven concise and useful tips for cleaning, prepping, wrangling, storing, processing, and ingesting data.

Recent years have seen a revival of the heated culture wars of the 1990s, but this time its battleground is the Internet. On one side the alt-right ranges from the once obscure neo-reactionary and white separatist movements, to geeky subcultures like 4chan, to more mainstream manifestations such as the Trump-supporting gay libertarian Milo Yiannopolous. On the other side, struggle sessions and virtue signaling lurk behind a therapeutic language of trigger warnings and safe spaces. The feminist side of the online culture wars has its equally geeky subcultures.

This book will put AI, big data, the cloud, robotics, and smart devices in context. It will reveal how these technologies can dramatically multiply any businesses—including yours—by strategically using your data's latent, transformative potential.

In 2021, when news outlets feasted on “the Facebook Files,” Frances Haugen went public as the former employee who blew the whistle on the company by copying tens of thousands of pages of documents. She testified to Congress and spoke to the media. She was hailed at President Biden’s first State of the Union Address. She made sure everyone understood exactly what the documents revealed.

This book is your treasure chest, revealing confidential insights and providing comprehensive knowledge on the secret application of Chat GPT in a startup environment. It's your classified toolkit that helps you leverage the concealed potential of AI in your everyday business tasks, from drafting cryptic emails to managing hidden crises, from customer retention secrets to developing a veiled company culture, and much more.

There are two remarkable phenomena that are unfolding almost simultaneously. The first is the emergence of a data-first world, where data has become a central driving force, shaping industries and fueling innovation. The second is the dawn of the AI age, propelled by the advent of Generative AI, that has created the possibility to leverage the data of the world for the first time. The convergence of these two, with data as the common denominator, holds immense promise and the opportunities are boundless.

In "How to Get Rich with A.I," Wendy Robbins is here to show you how to turn those robots into your personal money-making minions. This book is perfect for people wanting to make money with A.I or you just want to make money, or make money with Chatgpt.

Accessing and using the information that's freely available online is about more than just relying on the first page of Google results. Open source intelligence (OSINT) is intelligence gathered from publically available sources and is the key to unlocking this domain for the purposes of investigation. The Tao of Open Source Intelligence provides a comprehensive guide to OSINT techniques for the investigator.

An entertaining, scientifically rigorous exploration of the social and biological effects of our wireless world. The way we use technology is affecting our health and happiness. Engaging and entertaining yet scientifically rigorous, this fully revised and updated second edition of i-Minds comprehensively explores an era of screen-based technology's assimilation into our lives, pondering it as both godsend and plague. i-Minds is for anyone interested in fostering health and happiness or who is struggling with the role of screened technology in our lives.

In Not with a Bug, But with a Sticker: Attacks on Machine Learning Systems and What to Do About Them, a team of distinguished adversarial machine learning researchers deliver a riveting account of the most significant risk to currently deployed artificial intelligence systems: cybersecurity threats. The authors take you on a sweeping tour—from inside secretive government organizations to academic workshops at ski chalets to Google's cafeteria—recounting how major AI systems remain vulnerable to the exploits of bad actors of all stripes.

Through narratives and case studies spanning the brilliant history of engineering, Madhavan shows how the concepts of prototyping, efficiency, reliability, standards, optimization, and feedback are put to use in fields as diverse as transportation, retail, health care, and entertainment. Equal parts personal, practical, and profound, Applied Minds charts a path to a future where we apply strategies borrowed from engineering to create useful and inspired solutions to our most pressing challenges.

Most organizations view data monetization—converting data into money—too narrowly: as merely selling data sets. But data monetization is a core business activity for both commercial and noncommercial organizations, and, within organizations, it’s critical to have wide-ranging support for this pursuit. In Data Is Everybody’s Business, the authors offer a clear and engaging way for people across the entire organization to understand data monetization and make it happen.

Half a dozen years ago, anthropologist Gabriella Coleman set out to study the rise of this global phenomenon just as some of its members were turning to political protest and dangerous disruption. She ended up becoming so closely connected to Anonymous that the tricky story of her inside-outside status as Anon confidante, interpreter, and erstwhile mouthpiece forms one of the themes of this witty and entirely engrossing book.