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M-GA-A: Stream A
M-GA-B: Stream B
Maturity Level 1
Maturity Level 2
Maturity Level 3
M-GA-A-1
M-GA-A-1: Is there initial awareness or informal processes in place for data governance?
No Formal Policies:
Absence of defined policies or standards for data governance.
Undefined Roles:
Roles and responsibilities for data stewardship and governance are unclear.
Unstructured Governance:
Lack of governance processes specifically for AI datasets.
0
1
2
3
Description
No Formal Policies:
Absence of defined policies or standards for data governance.
Undefined Roles:
Roles and responsibilities for data stewardship and governance are unclear.
Unstructured Governance:
Lack of governance processes specifically for AI datasets.
M-GA-A-2
M-GA-A-2: Are basic accountability measures occasionally discussed informally?
Basic Governance Charter:
Initial governance framework defined, outlining basic roles and responsibilities.
Initial Stewardship:
Basic data stewardship roles identified, with preliminary metadata management.
Policy Development:
Early stages of formal data usage policies.
0
1
2
3
Description
Basic Governance Charter:
Initial governance framework defined, outlining basic roles and responsibilities.
Initial Stewardship:
Basic data stewardship roles identified, with preliminary metadata management.
Policy Development:
Early stages of formal data usage policies.
M-GA-A-3
M-GA-A-3: Are formal governance structures and responsibilities clearly defined and communicated?
Comprehensive Framework:
Mature governance framework implemented enterprise-wide, regularly reviewed and updated.
AI-Specific Policies:
Detailed governance explicitly addressing AI training datasets, LLMs, agentic systems, and external data integration.
Dynamic Adaptability:
Governance practices dynamically scale with evolving AI technology needs.
0
1
2
3
Description
Comprehensive Framework:
Mature governance framework implemented enterprise-wide, regularly reviewed and updated.
AI-Specific Policies:
Detailed governance explicitly addressing AI training datasets, LLMs, agentic systems, and external data integration.
Dynamic Adaptability:
Governance practices dynamically scale with evolving AI technology needs.