Data architecture translates business needs into data and system requirements, and seeks to manage data and its flow through the enterprise.

Who needs rewrites? This metadata-powered architecture fuses AI and ETL so smoothly, it turns pipelines into self-evolving ...

Data architects visualize and design an organization's enterprise data management framework, aligned with enterprise strategy and business architecture.

The heart of the genome structure is that it makes the case as a living model. A blueprint falls short because it’s a rigid, ...

Despite strong AI capabilities and a promising AI Studio, Asana is being disrupted by Monday, which boasts better financials ...

A novel approach from the Allen Institute for AI enables data to be removed from an artificial intelligence model even after ...

The six phases of the generative AI lifecycle (Source: AWS Architecture Blog) The paper also covers additional challenges to the data architecture posed by delivering generative AI solutions.

Model Context Protocol (MCP) is redefining AI by enabling real-time tool integration, solving knowledge staleness, and boosting interactivity.

TL;DR Key Takeaways : The Model Context Protocol (MCP) is a foundational framework that enables AI systems to integrate seamlessly with external tools, data sources, and resources, allowing them ...

Next Generation Command and Control (NGC2) is the Army’s new approach to develop a data-centric architecture for the commander to make more, faster, and better decisions, and ultimately reduce ...