Garbage In, Garbage Out: Fixing the Data Problem Before AI Can Help You

Every CEO wants better answers from AI, but most never fix the data that feeds it.

In AI: Your Co-CEO, Wade Wyant reminds leaders that AI is only as good as the information it learns from. When data is messy, inconsistent, or incomplete, even the smartest model can’t make sense of it.

Join Wade Wyant (CEO, Redegades) and Jason Baker (CTO, Redegades) for this powerful session on building AI-ready data systems. They’ll show how to move from scattered information and siloed systems to clean, structured, and usable data that fuels accurate, intelligent insights.

You’ll see how leading organizations prepare their data—before a single AI prompt is written—to ensure that when AI starts working, it actually helps instead of confusing.

What You’ll Learn

✅ Why most AI initiatives fail because of poor data quality.
✅ How to design a data readiness process that ensures accuracy and context.
✅ The 10 key steps of AI data ingestion—from normalization to tagging and validation.
✅ How to turn meetings, reports, and knowledge into structured data AI can learn from.
✅ Real-world examples of how data discipline drives better decisions and scalable leadership intelligence.

Key Takeaway

All attendees will receive the AI Data Readiness Checklist—a practical guide from the AI: Your Co-CEO Workbook outlining exactly how to prepare and structure your company’s data before implementing AI.

Who Should Attend

• CEOs, CTOs, and Data Leaders
• Operations and Strategy Executives
• Teams preparing to integrate AI or improve data systems