Content as a Service (CaaS) changes publishing from a “push” model to an on-demand model. If you’re looking to pull content from multiple sources and incorporate more flexibility into your content operations, it may be time to consider CaaS. Here are some resources to help you get started:
In episode 117 of The Content Strategy Experts podcast, Sarah O’Keefe and Patrick Bosek of Heretto continue their discussion about Content as a Service.
“Content as a Service is becoming a necessity to really deliver a strong customer experience from an answers and knowledge perspective.”
– Patrick Bosek
In episode 116 of The Content Strategy Experts podcast, Sarah O’Keefe and Patrick Bosek of Heretto talk about Content as a Service.
“Do we still have places where building a static site or a static set of help materials makes a lot of sense? Totally. But there’s a natural aspect of dynamic changing content. If that content is going to be a little bit different based on who or where or when you access it, then you can’t build it statically. That’s one of the things you’ll never get from a PDF.”
– Patrick Bosek
Content as a Service (CaaS) means that you make information available on request. The traditional publishing model is to package and format information into print, PDF, or websites, and make those collections available to the consumer. But with CaaS, consumers decide what information they want and in what format they want it.
In this presentation, Divraj Singh of Adobe and Sarah O’Keefe explore the concept of Content as a Service and provide CaaS examples.
“In a Content as a Service model, content creators write the content and make it available. Then the consumer gets to format that content and read or consume it in whatever way they want. ”
– Sarah O’Keefe
Content as a Service (CaaS) moves content out of the traditional publishing world. Instead of creating content and pushing it to consumers at the end of the content lifecycle, you make content available on demand. Content consumers connect to a content repository and extract what they need.
In a CaaS system, the content consumer might be a human or a machine. Instead of publishing the content, you let the requestor decide what they need.
In this webcast, Sarah O’Keefe (Scriptorium) and Divraj Singh (Adobe) explore the concept of Content as a Service and provide CaaS examples. If you have complex content requirements, especially in personalization or system integration, CaaS could help you by providing a way to disconnect content authoring, rendering, and delivery.
In episode 165 of The Content Strategy Experts Podcast, Sarah O’Keefe and guest Patrick Bosek of Heretto discuss how the role of customer self service is evolving in the age of AI.
I think that this comes back to the same thing that it came back to at every technological shift, which is more about being ready with your content than it is about having your content in the perfect format, system, set of technologies, or whatever it may be. The first thing that I think either of us will say, and a lot of people in the industry will tell you, is that you need to structure your content.
— Patrick Bosek
What’s CaaS, and how does it add value to your content? To find out, join Sarah O’Keefe for the free upcoming webinar, “Understanding the Business Value of Content-as-a-Service,” hosted by The Content Wrangler and Heretto.
You’ll learn about this new approach to content delivery, and how to use CaaS to mitigate problems with organizational silos. Join us for 60 minutes of outstanding content, including a live Q&A.
Register now to secure your spot!
Conversational AI is everywhere, but reliable AI responses depend on reliable content. So, how do you ensure your content is reliable? In this webinar, guest Rahel Bailie, Content Solutions Strategist at Content Seriously, and host Sarah O’Keefe, Founder & CEO of Scriptorium, examined how the intersection of structured content and conversational AI has evolved. They also share practical next steps that organizations can take to create a successful AI content strategy.
Rahel Bailie: How do you know your content is ready for AI? The level 1 test is, “Is the AI agent working well?” If it’s working well, then you go to, “Why isn’t it getting the right answer?” Then, you go to the content. The content can be good or bad and can be measured in a couple of ways. Is the source content marked up well? Does it have the right semantics on it? Does it have the right metadata? Do you have a knowledge graph in the background that’s making these relationships, so that the AI can pull out the right content?
What does it actually mean to govern your content in the age of AI, and who’s really in control? In this episode, Sarah O’Keefe sits down with Patrick Bosek, CEO of Heretto, to unpack why the quality, accuracy, and structure of your content may be the most critical factors in what your users experience on the other side of an AI model.
Patrick Bosek: In today’s world, you don’t have 100% control. There are a couple of different places where this needs to be broken up. One is the end user: what they physically get and what control they have versus what control you have. Then, there’s what control you have of how the AI model is going to behave based on your information and your inputs. Whether or that model is public, like a user accessing your documentation through Claude Desktop, or private, like a user accessing your documentation through your app or website, the governance piece comes down to what control you have immediately before the model. And that breaks down into a couple of things: completeness, accuracy, and structure of the content.
