What Makes Content Operations Successful In The Age of Artificial Intelligence
This one-of-a-kind research will help you or your organization understand the importance of content operations — and inspire you to take its maturity to the next level
This comprehensive report shares insights from Content Science‘s latest research in the world’s largest study of content operations, including:
The value of content operations today
The current state of content operations maturity + success
The factors that set the most mature + successful apart
Top challenges in maturing content operations now
The impact + potential of artificial intelligence
Perspectives from leaders with FedEx, ServiceNow, The Home Depot, Content Science, + more
This one-of-a-kind research will help you or your organization understand the importance of content operations—and inspire you to take its maturity to the next level.
Fascinating research on content ops maturity - the ServiceNow perspective is particularly relevant given how their platform handles massive amounts of technical documentation and knowledge base content. What struck me is the AI impact section you mentioned. In my experiance working with large-scale content operations, the gap between 'having AI tools' and 'having mature AI-integrated workflows' is huge. Most organizations are still in the experimentation phase with AI for content, treating it as an add-on rather than foundational to their content ops strategy. I'd be curious to know from the research: did the most mature content ops teams show any common patterns in how they govern AI-generated content quality?