Data subject access requests (DSARs), records of processing activities (RoPAs), vendor risk management, a dozen other data privacy compliance requirementsall of them depend upon or are significantly facilitated by a map of the personal information your organization processes. But theres no hard and fast requirement for a data map in the GDPR, CPRA, or any other data privacy regulation. As a result, many privacy professionals dont think to investigate data mapping until they start diving into the day-to-day work of their privacy program.

One of the first areas to be affected by AI has been science. Researchers have already started to integrate these new technologies into their work., but what does it mean to let these systems into our labs

The topic of how to assemble an efficient data team is a highly debated and frequently discussed question among data experts. If youre planning to build a data-driven product or improve your existing business with the help of public web data, you will need data specialists. This article will cover key principles I have observed throughout my experience working in the public web data industry that may help you build an efficient data team

The Mars Curiosity rover continues to make discoveries that shed light on the early days of the Red Planet, this time having found evidence that the unforgiving dust world once experienced seasonal weather patterns and flooding. The evidence came from photographs snapped by the NASA bot of the dry, dusty Martian surface marked by a series of hexagonal shapes that indicate mud covered the surface before drying and cracking. The patterns Curiosity spotted showed junction angles of around 120 degrees, otherwise known as Y junctions, that only occur after repeat cycles of wet and dry

KDnuggets has released an insightful new cheat sheet highlighting the top Python libraries for building generative AI applications. As readers are no doubt aware, generative AI is one of the hottest areas in data science and machine learning right now