Enterprise architecture "frameworks" are plans for organizing data about the enterprise and, more important, they facilitate getting meaningful answers for business people. For example, when the ...

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, ...

The goal of data architecture is to translate business needs into data and system requirements, and to manage data and its flow through the enterprise. Many organizations today are looking to ...

With the rapid success of OpenAI's ChatGPT and other emerging types of AI solutions in the last several years, organizations have been scrambling to adopt artificial intelligence by 'any means ...

In 2014, the words “enterprise architecture” (EA) have come to mean a lot of things. I've seen people use them to refer to a reference diagram, an infrastructure plan or an approach to governance.

With heightened pressure to compete on analytics, the purpose and role of data architecture is coming into clearer focus to meet business operating necessities. Recently, John O'Brien, CEO and ...

Facing an existential crisis, enterprise architecture must abandon outdated dogma for AI-driven adaptive governance to ensure survival and deliver value. In “Data trust and the evolution of ...

The good news: Organizations don’t need to stop all work to create an enterprise data architecture. “Health systems can and should work incrementally,” Mr. O’Neill said.