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From technology, media, and retail to sport teams, government agencies, and financial institutions, learn the actual strategies and processes being used to learn about customers, improve manufacturing, spur innovation, improve safety, and so much more. Organized for easy dip-in navigation, each chapter follows the same structure to give you the information you need quickly. For each company profiled, learn what data was used, what problem it solved, and the processes put in place to make it practical, as well as the technical details, challenges, and lessons learned from each unique scenario.

In Generative AI: Navigating the Course to the Artificial General Intelligence Future, Martin Musiol delivers an incisive and one-of-a-kind discussion of the current capabilities, future potential, and inner workings of generative artificial intelligence. In the book, you'll explore the short but eventful history of generative artificial intelligence, what it's achieved so far, and how it's likely to evolve in the future. You'll also get a peek at how emerging technologies are converging to create exciting new possibilities in the GenAI space.

This book bridges the gap between strictly technical books about the blockchain and the research-based books primarily concerned with practical applications, discussions of its expected economic effect, and future visions. It will be your guide through the unknown and complicated world of cryptocurrency and blockchain technology.

A team of dedicated tech executives delivers a business-focused approach based on a deep and engaging exploration of the models and data used in causal AI. The book’s discussions include both accessible and understandable technical detail and business context and concepts that frame causal AI in familiar business settings.

The greatest tool is the hardest to use. Machine learning is the world's most important general-purpose technology—but it's notoriously difficult to launch. Outside Big Tech and a handful of other leading companies, machine learning initiatives routinely fail to deploy, never realizing value. What's missing? A specialized business practice suitable for wide adoption. In The AI Playbook, bestselling author Eric Siegel presents the gold-standard, six-step practice for ushering machine learning projects from conception to deployment.

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.

Artificial intelligence is transforming lives and revolutionizing industries. This accessible guide to generative AI and machine learning is for tech enthusiasts and forward-thinkers alike—whether you're in IT or a professional from another field looking to stay ahead and curious about AI’s impact on the future, this book provides the essential insights you need to stay competitive and informed in the Age of AI.

Graph-Powered Machine Learning teaches to use graph-based algorithms and data organization strategies to develop superior machine learning applications. You’ll dive into the role of graphs in machine learning and big data platforms, and take an in-depth look at data source modeling, algorithm design, recommendations, and fraud detection. Explore end-to-end projects that illustrate architectures and help you optimize with best design practices.

Work with data like a pro using this guide that breaks down how to organize, apply, and most importantly, understand what you are analyzing in order to become a true data ninja.

Drawing on years of work interpreting and explaining data about almost anything, renowned data journalist Kiko Llaneras offers practical tools and shortcuts to help you understand the numbers and make better decisions using a quantitative lens. Through a series of compelling examples, he reveals some of the surprising insights that a data-driven perspective can offer.

Transform your career in just a few hours with Python data science mastery—even if you've never written a line of code before! Have you ever felt overwhelmed at the thought of learning data analysis in Python? Do you worry that without a computer science degree, you'll never be able to visualize and analyze data effectively? Are you eager to bring data-driven insights into your career but don’t know where to start?

Structured query language, or SQL (pronounced "sequel" by many), is the most widely used programming language in database management and is the standard language for relational database management systems (RDBMS). SQL programming allows users to return, analyze, create, manage, and delete data within a database - all within a few commands.

"SQL: Learn SQL Programming and Database Management" is your comprehensive guide to mastering the essential skills needed to manage, query, and secure databases in today’s data-driven world. Whether you're a beginner starting your journey into the world of databases or an experienced developer looking to deepen your understanding, this book offers a clear, step-by-step approach to learning SQL and database management.

Written in an accessible style for all audiences, “How AI Will Shape Our Future” anchors listeners in the history and evolution of Artificial Intelligence, laying the groundwork for a deeper understanding of its trajectory. This equips listeners to engage more thoughtfully with the book’s central theme: What should societies expect from AI in the decades ahead? How does AI actually function? What will its impact be on employment and education, both short-term and long-term? How will AI reshape society, the economy, government, culture, and geopolitics?

"Algorithms: From Basic Concepts to Complex Solutions" is your essential guide to mastering the art of algorithmic problem-solving. Are you a beginner stepping into the world of computer science or an experienced developer looking to deepen your understanding, this book offers a comprehensive exploration of algorithms, from foundational principles to advanced techniques.

This book identifies the seven key emerging Internet-related technologies: Internet of things, smart everything, big data, cloud computing, cybersecurity, software-defined networking, and online education. This book provides an introduction, applications, benefits, and challenges for each technology.

If you need to learn Spring, look no further than this widely beloved and comprehensive guide! Fully revised for Spring 5.3, and packed with interesting real-world examples to get your hands dirty with Spring. Over the years, Spring in Action has helped tens of thousands of developers get a major productivity boost from Spring. This new edition of the classic best seller covers all of the new features of Spring 5.3 and Spring Boot 2.4 along with examples of reactive programming, Spring Security for REST Services, and bringing reactivity to your databases.

We are living in the age of information and there’s no denying it—those who are best at organizing, understanding, and then using data to their advantage will be the ones on top. The skills themselves are simple and easy to learn and will give you a tremendous advantage in the highly competitive marketplace of today’s workforce. The only thing left is for you to give a little commitment and launch yourself into a whole new reality of success.

Smacking some numbers onto a pie chart is old news and simply doesn't work anymore. Keeping your audience inspired and on the edge of their seats through an engaging data story is what we as business professionals should be striving to do. How to Win with Your Data Visualizations uncovers the fundamentals of what makes a winning data presentation and has laid them out in five easy-to-understand parts you can immediately apply to your next chart and presentation to see a winning data story unfold.

"#Datastories - Seguire le impronte umane sul digitale” è un saggio che indaga sul significato nascosto degli small data che quotidianamente seminiamo in Rete attraverso i nostri tablet e smartphone. Si tratta delle impronte che lasciamo ogni giorno sui nostri dispositivi, quando digitiamo chiavi di ricerca sul web, mandiamo cuoricini sui social e facciamo swipe sulle app. Dati minuscoli, che possono rivelare i nostri comportamenti, le scelte di consumo, i codici linguistici, le nostre tensioni culturali.