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Let us be your guide to data management in the digital age. On this journey we will discuss today's challenges in data management including: regulatory requirements, records management, data sovereignty, data migration, data security and data archiving. This information is provided free of charge by Archive360 (www.archive360.com)

Data engineering has grown rapidly in the past decade, leaving many software engineers, data scientists, and analysts looking for a comprehensive view of this practice. With this practical book, you'll learn how to plan and build systems to serve the needs of your organization and customers by evaluating the best technologies available through the framework of the data engineering lifecycle.

How organizations can deliver significant performance gains through strategic investment in marketing.

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...

Data science experts Foster Provost and Tom Fawcett, Data Science for Business introduces the fundamental principles of data science, and walks you through the "data-analytic thinking" necessary for extracting useful knowledge and business value from the data you collect. This guide also helps you understand the many data-mining techniques in use today.

Podcasts on Data and AI best practice

This podcast is for law firm leaders and teams who want to know more about implementing and improving data governance in law firms. Over the seasons, CJ Anderson from Iron Carrot will cover topics including refreshers on the basic concepts, starting a data governance initiative, evaluating progress, getting back on track if it's going wrong, and everything in-between.

Join us as we explore the world of financial data governance. On each episode, we dive into key challenges and innovations shaping finance today, from ensuring data integrity to automating controls and real-time fraud detection. Whether you’re a finance executive, data professional, or simply passionate about improving financial processes, this podcast delivers actionable insights on how to enhance completeness, accuracy, compliance, and trust in your numbers. Powered by NotebookLM

In our age of accelerating progress in so many fields, it’s easy to lose sight of the underlying innovation that makes the data analytics revolution possible. These 24 lectures introduce you to the key concepts, methods, and accomplishments of this versatile approach to problem solving. You need no expertise in mathematics to follow this exciting story. Tim Chartier, professor of mathematics and computer science, explains the basic computational techniques used in data analytics, but his focus is on how these ideas are applied and the amazing results they achieve.

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.

From facial recognition—capable of checking us onto flights or identifying undocumented residents—to automated decision systems that inform everything from who gets loans to who receives bail, each of us moves through a world determined by data-empowered algorithms. But these technologies didn't just appear: they are part of a history that goes back centuries, from the census enshrined in the US Constitution to the birth of eugenics in Victorian Britain to the development of Google search.