No EA framework will be a perfect match for your organization’s needs; choose one that gets as close as possible and consider augmenting that with additional tools to model business processes ...

With an open, plug-and-play architecture, MCP is the key to enabling AI agents to interact seamlessly with external tools and ...

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, ...

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

The cornerstone of digital twin architecture is data. Collecting accurate and real-time data from various sources ensures the digital model mirrors its physical counterpart.

Committed to addressing the challenges of outdated documentation and fragmented data processes, it aims to streamline data model design, change management, and integration, ensuring transparency ...

CDIE streamlines complex ingestion workflows across hybrid and multi-cloud data environments, supporting modern data architecture goals such as cloud data migration, legacy system modernization, and ...

Data architecture, guidelines + industry standards: Health systems’ recipe for generating value from information assets Healthcare organizations are awash in data.