Every company wants to leverage AI. Few have the data infrastructure to support it.
The AI Readiness Pyramid
Level 1: Data Collection - Are you capturing the right data?
Level 2: Data Storage & Processing - Can you store and access your data efficiently?
Level 3: Analytics & BI - Can you answer basic questions about your business?
Level 4: AI & ML - Can you build and deploy predictive models?
Most companies struggling with AI are trying to build Level 4 with shaky Level 1-2 foundations.
The Assessment Framework
Score yourself 1-5 on: Data Quality, Data Accessibility, Data Freshness, Feature Engineering Capability, and MLOps Readiness.
Interpreting Your Score
20-25: AI Ready - Focus on use case selection and team building.
15-19: Almost There - Address specific gaps before scaling AI investments.
10-14: Foundation Work Needed - Invest in data infrastructure before ML platforms.
Below 10: Start with Basics - Focus on data collection and quality fundamentals.