As generative AI increasingly transforms marketing practices, organizations need robust governance frameworks to harness its potential responsibly. The Generative AI Governance Framework for Marketing provides organizations with a comprehensive roadmap for harnessing the power of generative AI while safeguarding consumer interests and ensuring legal compliance.
The Marketing AI Implementation Checklist is a comprehensive guide for responsibly integrating AI into marketing strategies. It covers 13 key areas, from leadership vision to continuous improvement, providing actionable steps for each stage of AI adoption.
The checklist emphasizes ethical considerations, legal compliance, and risk mitigation. It guides organizations in aligning AI initiatives with business goals, ensuring responsible data use, and fostering a culture of continuous learning.
The Marketing AI Risk Evaluation Framework guides businesses in assessing and managing risks associated with AI in marketing. It addresses key risk categories, including privacy, accuracy, ethical, and compliance risks, providing marketers with tools to navigate the complex landscape of AI implementation.
The framework employs MMA’s LIME risk rating criteria, quantifying risks and mitigation effort based on three factors:
$9 out of every $10 spent on sponsorships goes unmeasured.
With bigger sports, arts and entertainment activations on the rise, sponsorship investment has become a hot-button issue for decision-makers and the C-suite. But many brands are relying on incomplete, siloed metrics to justify the spend and make investment decisions.
Our latest ROI Genome Flash highlights how brands can effectively measure and optimize sponsorship performance to deliver big rewards. Access it now to learn about:
The current sponsorship landscape
Key considerations for assessing sponsorship value
ROI Genome best practices for executing, activating and optimizing sponsorships
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