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!
Will cheap content cost your organization more in the long run? In this webinar, host Sarah O’Keefe and guest Dawn Stevens share how poor workflows, inaccurate source data, and the commoditization race can undermine both product quality and brand trust. Sarah and Dawn also discuss why strategic staffing and mature content ops create the foundation your AI initiatives need to deliver reliable content at scale.
Sarah O’Keefe: I write content that’s great for today. Tomorrow, a new development occurs, and my content is now wrong. We’re down the road of “entropy always wins.” We’re heading towards chaos, and if we don’t care for the content, it’ll fall apart. So what does it look like to have a well-functioning organization with an appropriate balance of automation, AI, and staffing?
Dawn Stevens: I think that goes back to the age-old question of, “What are the skills that we really think are valuable?” We have to see technical documentation as part of the product, not just supporting the product. That means that we, as writers, are involved in all of the design. As we design the documentation, we’re helping design the UX.
What happens when AI accelerates faster than your content can keep up? In this podcast, host Sarah O’Keefe and guest Michael Iantosca break down the current state of AI in content operations and what it means for documentation teams and executives. Together, they offer a forward-thinking look at how professionals can respond, adapt, and lead in a rapidly shifting landscape.
Sarah O’Keefe: How do you talk to executives about this? How do you find that balance between the promise of what these new tool sets can do for us, what automation looks like, and the risk that is introduced by the limitations of the technology? What’s the roadmap for somebody that’s trying to navigate this with people that are all-in on just getting the AI to do it?
Michael Iantosca: We need to remind them that the current state of AI still carries with it a probabilistic nature. And no matter what we do, unless we add more deterministic structural methods to guardrail it, things are going to be wrong even when all the input is right.
