4 critical data capabilities IT leaders need to scale AI
Your leadership team expects game-changing AI outcomes. While 87% of organizations claim AI-ready infrastructure, skills, and data, 41–43% cite those same areas as their biggest AI barriers. There’s a clear gap between ambition and reality.
To close this gap, you need to identify limitations across integration, quality, governance, and master data management (MDM). When any one of these areas needs improvement, IT ends up spending valuable time on emergency patches and compliance fire drills.
This workbook helps you spot the data issues that impact enterprise AI success and gives you tools to:
- Benchmark your data maturity across four pillars
- Improve AI across CX, supply chain, and compliance
- Prevent hidden AI costs from landing on IT
