If your AI feels slow, expensive or risky, the problem isn’t the models — it’s the data, and cognitive data architecture is ...

In today’s data-driven world, efficient data retrieval has become critical for organizations striving to maintain a competitive edge. Slow retrieval processes and high operational costs are common ...

AI initiatives don’t stall because models aren’t good enough, but because data architecture lags the requirements of agentic systems.

“With Elasticsearch vector database at the heart of the Dell AI Data Platform's unstructured data engine, Elastic will bring vector search and hybrid retrieval to a turnkey architecture, enabling ...

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 ...

In an era of HIPPA, Sarbanes-Oxley and other stringent regulations on data retention and security, a robust BAR solution is essential to any enterprise-level data architecture, particularly in fields ...

The headless data architecture is the formalization of a data access layer at the center of your organization. Encompassing both streams and tables, it provides consistent data access for both ...

Over the past decade, the data boom has created exciting strategic opportunities for adaptive companies and enabled the development of entirely new enterprises. This wave was the result of the ...

Data Architects design systems for enterprise database systems and set standards for operations, programming, and security. They integrate new systems with existing warehouse structure and refine ...