AI Readiness assessment checklist
Data Readiness
- Identify key data sources
- Assess data accuracy, completeness, and consistency
- Document findings and areas for improvement
- Review existing data governance policies
- Ensure alignment with AI project goals
- Implement any necessary updates or new policies
- Review current data privacy and security measures
- Identify potential vulnerabilities
- Implement necessary security protocols
- Assess current data storage capacity
- Evaluate scalability options for future data growth
- Implement necessary upgrades or changes
- Define data labeling and annotation requirements
- Establish guidelines and standards for labeling
- Implement tools or platforms for annotation
Use in Manifestly