Futureproof your content ops for the coming knowledge collapse
About this episode
The episode discusses the implications of AI on content operations and how professionals can adapt to the evolving landscape.
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. Related links: Scriptorium: AI and content: Avoiding disaster Scriptorium: The cost of knowledge graphs Michael Iantosca: The coming collapse of corporate…
People in this episode
Host: Sarah O’Keefe
Guest: Michael Iantosca
Topics covered
- AI in content operations
- documentation teams
- executive communication
- automation risks
- knowledge management
Mentioned in this episode
Organizations: Scriptorium, MIT
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- Taming AI: Using AI for content conversion at scale
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- Who controls your content? AI and content governance
- Good content = good AI: The fundamentals that never change
- Check in on AI: The true measure of success for AI initiatives
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