You’re probably tired of reading my articles about the business case for content ops. Here’s a more personal perspective as you consider a content ops initiative.
“I just want to get off the hamster wheel.”
— Anonymous client
One of our clients (you know who you are, hi!) said this in a meeting a few years ago.
Is it really possible to configure enterprise content—technical, support, learning & training, marketing, and more—to create a seamless experience for your end users? In episode 177 of the Content Strategy Experts podcast, Sarah O’Keefe and Bill Swallow discuss the reality of enterprise content operations: do they truly exist in the current content landscape? What obstacles hold the industry back? How can organizations move forward?
Sarah: You’ve got to get your terminology and your taxonomy in alignment. Most of the industry I am confident in saying have gone with option D, which is give up. “We have silos. Our silos are great. We’re going to be in our silos, and I don’t like those people over in learning content anyway. I don’t like those people in techcomm anyway. They’re weird. They’re focused on the wrong things,” says everybody, and so they’re just not doing it. I think that does a great disservice to the end users, but that’s the reality of where most people are right now.
Bill: Right, because the end user is left holding the bag trying to find information using terminology from one set of content and not finding it in another and just having a completely different experience.
In this episode of our Let’s Talk ContentOps! webinar series, industry experts Sarah O’Keefe and Carrie Hane explore the intersection of structured content and artificial intelligence. Discover how structured content improves the reliability and performance of AI systems by increasing accuracy, reducing hallucinations, and supporting efficient content management.
In this webinar, attendees will learn:
Are you looking for real-world examples of enterprise content operations in action? Join Sarah O’Keefe and special guest Adam Newton, Senior Director of Globalization, Product Documentation, & Business Process Automation at NetApp for episode 175 of The Content Strategy Experts podcast. Hear insights from NetApp’s journey to enterprise-level publishing, lessons learned from leading-edge GenAI tool development, and more.
We have writers in our authoring environment who are not writers by nature or bias. They’re subject matter experts. And they’re in our system and generating content. That was about joining us in our environment, reap the benefits of multi-language output, reap the benefits of fast updates, reap the benefits of being able to deliver a web-like experience as opposed to a PDF. But what I think we’ve found now is that this is a data project. This generative AI assistant has changed my thinking about what my team does. Yes, on one level, we have a team of writers devoted to producing the docs. But in another way, you can look at it and say, well, we’re a data engine.
— Adam Newton
It’s hard to believe that the DITA standard needs additional tags. I tried counting them, but gave up at 150, when I had only reached the letter G. (Be my guest: https://www.oxygenxml.com/dita/1.3/specs/langRef/quick-reference/all-elements-a-to-z.html)
When organizations replatform from one content management system to another, unchecked technical debt can weigh down the new system. In contrast, strategic replatforming can be a tool for reducing technical debt. In episode 172 of The Content Strategy Experts podcast, Sarah O’Keefe and Bill Swallow share how to set your replatforming project up for success.
Here’s the real question I think you have to ask before replatforming—is the platform actually the problem? Is it legitimately broken? As Bill said, has it evolved away from the business requirements to a point where it no longer meet your needs? Or there are some other questions to ask, such as, what are your processes around that platform? Do you have weird, annoying, and inefficient processes?
— Sarah O’Keefe
Technical debt, hereafter called “content debt,” is “the implied cost of future reworking required when choosing an easy but limited solution instead of a better approach that could take more time,” Wikipedia, “Technical debt.”. Like financial debt, content debt isn’t always a bad thing. You can use a loan to buy a house right away (at least in the U.S.) and then pay off the debt over time while living in the house. Content debt allows you to create something quickly instead of doing it exactly right and taking much longer.
Too much content debt, though, will hamstring your work. The trick is to find the Goldilocks solution.
In this episode of our Let’s Talk ContentOps! webinar series, Scriptorium principals Sarah O’Keefe (CEO), Alan Pringle (COO), and Bill Swallow (Director of Operations) provide practical insights on the future of content operations. They’ll deliver sunny predictions, warn of upcoming storms, and equip you to weather unprecedented fronts in the content industry.
In episode 169 of The Content Strategy Experts podcast, Sarah O’Keefe and special guest Sebastian Göttel of Quanos engage in a captivating conversation on generative AI and its impact on technical documentation. To bring these concepts to life, this English version of the podcast was created with the support of AI transcription and translation tools!
Sarah O’Keefe: So what does AI have to do with poems?
Sebastian Göttel: You often have the impression that AI creates knowledge; that is, creates information out of nothing. And the question is, is that really the case? I think it is quite normal for German scholars to not only look at the text at hand, but also to read between the lines and allow the cultural subtext to flow. From the perspective of scholars of German literature, generative AI actually only interprets or reconstructs information that already exists. Maybe it’s hidden, only implicitly hinted at. But this then becomes visible through the AI.
Folge 169 ist auf Englisch und Deutsch verfügbar. Da unser Gast Sebastian Göttel sich im deutschsprachigen Raum mit KI beschäftigt, kam die Idee, diesen Podcast auf Deutsch zu erstellen. Die englische Version wurde dann mit KI-Unterstützung zusammengebastelt.
Sarah O’Keefe: Was hat die generative KI mit Gedichtinterpretationen zu tun?
Sebastian Göttel: Ja, nun, also oft hat man da ja den Eindruck, dass KI das Wissen schöpft, also Informationen aus dem Nichts erschafft. Und da ist die Frage, ist das denn wirklich so? Denn für die Germanisten ist es, glaube ich, schon eher normal, nicht nur den vorliegenden Text anzuschauen, sondern auch zwischen den Zeilen zu lesen, den kulturellen Subtext einfließen zu lassen. Und aus dem Blickwinkel der Germanisten, interpretiert oder rekonstruiert generative KI eigentlich nur Informationen, die schon vorhanden ist. Möglicherweise ist die verborgen, nur implizit angedeutet. Aber die wird durch die KI dann sichtbar.
