MRM

MRM stands for Marketing Resource Management, a software discipline that helps organizations plan, allocate, and optimize marketing budgets, campaigns, and personnel across departments and geographies. In AI governance contexts, MRM systems increasingly incorporate machine learning for budget forecasting and campaign performance prediction, creating audit and transparency requirements for algorithmic decision-making. Enterprise compliance teams must ensure that AI-driven recommendations within MRM platforms maintain fairness across customer segments and provide explainability for stakeholders reviewing marketing spend allocation decisions.

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ResearchGlobal2026-08-24

Experian Frames AI Governance as an Adaptive Extension of Model Risk Management

Experian has published practitioner guidance positioning AI governance as an evolution of model risk management rather than a separate discipline. The piece, aimed at financial institutions managing large model portfolios, argues that validation and monitoring must become continuous rather than point-in-time. Compliance teams can use it as a benchmark for modernizing model oversight without abandoning regulatory discipline.

Experian financial-services model-risk-management continuous-monitoring validation MRM AI-governance