Time flies in the world of data analytics and artificial intelligence (AI). Seemingly every day, new technologies rise, new use cases emerge, and new frontiers unfurl themselves before a world that ...

The redesign of data pipelines, models, and governance frameworks is integral in facilitating the adoption of automation ...

Data modeling refers to the architecture that allows data analysis to use data in decision-making processes. A combined approach is needed to maximize data insights. While the terms data analysis and ...

Real-time insights and self-service analytics have become critical for survival in a rapidly evolving data landscape.

The NIST-800 security framework sets the tone of "never trust, always verify," emphasizing the concepts of least privilege and continuous monitoring. This becomes especially important and relevant in ...

For financial institutions, threat modeling must shift away from diagrams focused purely on code to a life cycle view ...

Data modeling tools play an important role in business, representing how data flows through an organization. It’s important for businesses to understand what the best data modeling tools are across ...

Healthcare organizations are awash in data. But not every health system is able to utilize its data in ways that yield actionable insights or opportunities for performance improvement. Without a clear ...