No data is completely safe. Cyberattacks on companies and individuals are on the rise and growing not only in number but also in ferocity. And while you may think your company has taken all the precautionary steps to prevent an attack, no individual, company, or country is safe. Cybersecurity can no longer be left exclusively to IT specialists. Improving and increasing data security practices and identifying suspicious activity is everyone's responsibility, from the boardroom to the break room.

How can software engineers manage a living codebase that evolves and responds to changing requirements and demands over the length of its life? Based on their experience at Google, software engineers Titus Winters and Hyrum Wright, along with technical writer Tom Manshreck, present a candid and insightful look at how some of the world’s leading practitioners construct and maintain software. This book covers Google’s unique engineering culture, processes, and tools and how these aspects contribute to the effectiveness of an engineering organization.

Most historians study the smallest slivers of time, emphasizing specific dates, individuals, and documents. But what would it look like to study the whole of history, from the big bang through the present day - and even into the remote future? How would looking at the full span of time change the way we perceive the universe, the earth, and our very existence? These were the questions David Christian set out to answer when he created the field of "Big History", the most exciting new approach to understanding where we have been, where we are, and where we are going.

How do some people bounce back with vigor from daily setbacks, professional crises, or even intense personal trauma? This collection of articles from HBR includes "How Resilience Works", by Diane Coutu; "Resilience for the Rest of Us", by Daniel Goleman; "How to Evaluate, Manage, and Strengthen Your Resilience", by David Kopans; "Find the Coaching in Criticism", by Sheila Heen and Douglas Stone; and much more.

Artificial intelligence touches nearly every part of your day. While you may initially assume that technology such as smart speakers and digital assistants are the extent of it, AI has in fact rapidly become a general-purpose technology, reverberating across industries including transportation, healthcare, financial services, and many more. In our modern era, an understanding of AI and its possibilities for your organization is essential for growth and success. Artificial Intelligence Basics has arrived to equip you with a fundamental, timely grasp of AI and its impact.

This is the first book to present innovation and entrepreneurship as a purposeful and systematic discipline. It clearly explains and analyzes the challenges and opportunities of America's new entrepreneurial economy. Peter Drucker, the most influential and widely-read thinker and writer on modern organizations, gives us a superbly practical book that explains what established businesses, public service institutions, and new ventures have to know, have to learn, and have to do in today's economy and marketplace.

A business's overall strategy may be set at board level, but many people throughout the organisation will be involved in deciding that strategy and implementing it - making decisions that are strategic in nature. On these decisions hangs the future of the business: how successful it is, even whether it is successful. Yet business history is full of strategic decisions, both big and small, that were weak, poorly conceived and consequently disastrous.

Data Science for Dummies is the perfect starting point for IT professionals and students who want a quick primer on all areas of the expansive data science space. With a focus on business cases, the book explores topics in big data, data science, and data engineering, and how these three areas are combined to produce tremendous value. If you want to pick-up the skills you need to begin a new career or initiate a new project, listening to this book will help you understand what technologies, programming languages, and mathematical methods on which to focus.

In this volume in the MIT Press Essential Knowledge series, computer scientist John Kelleher offers an accessible and concise but comprehensive introduction to the fundamental technology at the heart of the artificial intelligence revolution. Kelleher explains some of the basic concepts in deep learning, presents a history of advances in the field, and discusses the current state of the art.

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