Joe Gollner, Managing Director at Gnostyx Research Inc., said that when you start a story, you need to follow it to its conclusion.
We don't have a firm definition of the word "content." From Latin: "that which is contained." It is "potential information." Can spawn multiple information transactions. We perform information transactions. The content is what's contains, and it may be delivered in many different ones. Technology is always involved; something happens to turn a content assent into an information transaction.
Content is therefore an "asset." Something of potential future value.
Content is also an organizational expression. It is collaboratively developed by teams. It is always hard work. It is basically what an organization knows.
Content is a complex composite artifact. It's grounded in data resources and connected to knowledge precedents.
Engineering is surprisingly dependent on content assets and processes, the documented understanding of what a system is intended to do.
Content engineering: The application of engineering discipline to the design, acquisition, delivery, managements, and use of content and to the technologies deployed to support the full content lifecycle.
AI consumes content, feeds off it. The worst case is that AI runs amok. It consumes information indiscriminately and without management guidance or guardrails. This form of AI is as popular as it is dangerous.
A rigorously engineered approach to content creates the conditions for effective AI utilization. The goal is an ecosystem where content and AI work together. AI offers an opportunity to see content recognbized as the strategic asset that it is.
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