Last week, we discussed establishing a robust Information Governance (IG) program’s foundation. Now, let’s implement the ARMA IGIM framework, which focuses on three critical areas: Procedural Framework, Capabilities, and Information Lifecycle.
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Procedural Framework: Establishing standardized policies and accountability is essential for reliable AI outputs. Inconsistent data practices can lead to inaccurate analytics. To enhance AI functionality, enforce a policy for metadata tagging on all incoming data.
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Capabilities: Your IG program’s efficiency hinges on the tools and technologies in place. Role-based access controls safeguard sensitive data used in AI training, while better metadata management improves dataset searchability. For instance, a retail company used IGIM policies to enhance its AI product recommendations.
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Information Lifecycle: This aspect ensures AI models are trained on current, relevant data. Defining data retention schedules mitigates errors, boosting trust in AI outputs.
Ensure your data policies and tools are aligned for successful AI implementation. Next week, we’ll explore sustaining your IG program for ongoing AI innovation.
