Content Modernization with AI: What Digital Content Publishers Must Do Next
As digital content publishing accelerates toward 2026, content modernization is no longer a one-time initiative – it’s a continuous, AI-powered capability. Learners expect relevance, speed, and personalization, while publishers are managing aging catalogs, global scale, and rising operational complexity. Traditional modernization approaches simply can’t keep up.
In this webinar, we distilled key insights from the 2026 Playbook on AI-Powered Content Modernization into a practical, executive-focused conversation. Modernization is no longer about converting content – it’s about engineering an intelligent, multi-format, skills-aligned content engine. We explored how digital publishers are moving from manual, project-based updates to intelligent modernization pipelines – where content becomes modular, adaptive, reusable, and continuously optimized through AI.
We also addressed the critical balancing act: using AI for scale and speed without compromising quality, governance, IP integrity, or learner experience. And how one can make AI the “ops team member” that quietly accelerates everything. This session helped publishing leaders to make informed, future-ready decisions as AI becomes foundational to content strategy and business growth.
The session was hosted by Shrikant Pattathil, President & CTO at Harbinger Group and joined by industry experts as panelists Dale Walden, Vice President of Product Management at MadCap Software, Nicholas Igneri, Founder & CEO of Innovation Learning Ventures, LLC, and Poonam Jaypuriya, Vice President – eLearning at Harbinger Group.
Key Takeaways
- Understand how to move from one-off modernization projects to continuous pipelines.
- Discover what “intelligent, reusable content” looks like in practice.
- Explore where human expertise remains critical in AI-driven workflows.
- Know the governance considerations needed to deliver trustworthy AI-enabled learning.
