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

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

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 ...

Right now, AI technologies are not just enhancing existing technology portfolios-they are reshaping how organizations think ...

Generative artificial intelligence disrupted the enterprise in 2023 and is now a must-have consideration in 2024 plans. With this in mind, technical professionals must strive to enhance and modernize ...

The next era of fintech leadership will likely be defined not by user interface improvements but by data infrastructure.

If your AI feels slow, expensive or risky, the problem isn’t the models — it’s the data, and cognitive data architecture is the fix. Let’s be honest: our data systems are struggling to keep up with AI ...

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 ...

Learn how this new standard connects AI to your data, enhances Web3 decision-making, and enables modular AI systems.

A practical overview of security architectures, threat models, and controls for protecting proprietary enterprise data in retrieval-augmented generation (RAG) systems.