Data Optimization

When it comes to preparing your organization for AI, you don’t need to boil the ocean.

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

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

THE CATALYST FOR WHAT’S NEXT

Advisory:

Data Optimization Consulting
Data Optimization Framework

Ignition Point:

Foundations for leadership deep dive session
Expert led session for individuals and teams: Data Optimization for AI: Rethinking how we create, manage, use and organize data

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GIGO: The 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. Unfortunately, many businesses have deferred this essential effort, effectively "kicking the can down the road" and without proper preparation and optimization, AI's effectiveness and security is severely diminished. 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.

Data Optimization

THE CATALYST FOR WHAT’S NEXT

GIGO: The Devil is in the Data

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