I was recently playing 20 Questions with my good friend John when it occurred to me that it has a lot in common with taxonomy—and, by extension, a solid content strategy.
Ahh, AI. The promised future coming to fruition within the little screens we interact with on a daily basis. Though we assumed artificial intelligence would come in the form of apron wearing robots like the ones in the Jetsons, AI comes to us in more practical forms with the same
You manage a team of content creators and you’ve decided to embrace structured authoring. Congratulations! Perhaps you’ve heard that a structured environment will help your team create content that is consistent, modular, and reusable.
A few years ago, the EU parliament passed EU Regulation 536/2014. Article 37 mandates that the results of pharmaceutical clinical trials need to be easily read and understood. Having easy-to-read information provides more transparency and accessibility for the general public.
I’ve had a hard time wrapping my head around knowledge graphs. As I explained in this earlier post, graphs themselves are not new, and the overall structure of a graph is somewhat intuitive and easy to understand. But how do we get from sticks and balls to providing valuable business
There is a great deal of talk these days about using knowledge graphs to help manage large amounts of data. In this blog post, I’d like to introduce you to knowledge graphs.
The word content is repeated so frequently it seems to lose its significance. Let’s take a step back and answer a simple question – What is content, anyway? Here’s what some of our in-house content experts had to say.