Devil is in the Data

Many organizations assume that deploying AI will instantly enhance intelligence and streamline work. But the quality of the responses AI generates depends on the quality data it ingests. That's why proactively auditing and optimizing content in the early stages of AI transformation provides immediate and long-term benefits beyond better AI responses, including improved search, enhanced governance, and an overall better digital employee experience within the digital workplace.  

Even the smallest improvements – done intentionally – can dramatically increase the quality of AI responses.

This interactive session features real-world insights, lessons learned, and practical recommendations and frameworks to enable you to:

• Make data optimization a core part of AI/Copilot training and frame it as      skill-building
• Initiate incremental organization-wide action 
  • Archive irrelevant data → reduces noise and hallucination  
  • Tag what's published vs. working draft → boosts AI confidence and grounding clarity  
  • Add summary fields in metadata → enables better Copilot answers  
• Initiate just-in-time data optimization based on AI adoption and work redesign activities
  • Develop "how we do it" guide 
  • Refresh information architecture
  • Begin the process of filling in priority data gaps

These sessions aren't lectures. Instead, expect hands-on experimentation, deep discussion, and frameworks that can adapt and evolve with your organization — led by catalysts, who share real-world, action-driven strategies that adapt as the tech does. 

Think of our sessions as direct access to change experts and AI thought leaders with over 20 years of experience in transformation and adoption at a fraction of the cost.