In today’s post, we’ll discuss data literacy and its relevance in the context of GDPR. We start by defining data literacy and giving a brief overview of GDPR. Then we proceed to explain some of the challenges organizations might face when trying to find risk spots in their data. Finally, we give advice on how […]
Enterprises depend on realistic data for development, testing, training, and analytics. The challenge is that production data often contains names, account numbers, financial information, and other sensitive details that should not move freely into non-production environments. IBM Optim Data Privacy addresses that problem by masking sensitive values while preserving enough of the original data’s structure […]
Release managers have to track a lot at once: changes, teams, systems, environment readiness, dependencies, and whether a release is ready for go-live. In large enterprises, that information can be spread across dozens of projects, tools, tickets, and dashboards. Artificial intelligence (AI) can help teams make sense of it faster by summarizing release information, surfacing […]
Data is the word of the 21st century. The demand for data analysis skills has skyrocketed in the past decade. There exists an abundance of data, mostly unstructured, paired with a lack of skilled professionals and effective tools to manage and analyze it. The path to gaining data analysis skills begins with understanding the type […]
GDPR requires organizations to protect personal data wherever they use it, including in development and testing environments. But teams still need realistic data to build, test, and train effectively. That’s where data masking comes in. It protects sensitive information while keeping data useful. GDPR doesn’t specifically require data masking, but masking can help organizations meet […]
Every test cycle starts with a simple assumption: the environment works. When it doesn’t, testers lose the morning chasing failed logins, unreachable databases and half-deployed services before anyone realizes the problem isn’t the code under test. Environment health checks exist to catch that early. The question is how to run them at scale without burning […]