S1 E3 - Why AI Fails Without Data Integrity

This podcast highlights the critical importance of data integrity as a foundation for implementing artificial intelligence within the social housing sector. Arguing that for AI to successfully improve tenant services and operational efficiency, organisations must first ensure their information is accurate, reliable, and consistent. Without high-quality data, providers risk facing compliance failures, poor resource allocation, and flawed decision-making. To mitigate these risks, the text recommends establishing a clear data strategy and a robust governance framework to guide digital transformation. Ultimately, the source serves as a roadmap for leadership teams to transition from data chaos to measurable strategic outcomesTaken from article: https://lizhendersondata.wordpress.com/2025/04/15/achieving-data-integrity-in-social-housing-a-roadmap-for-ai-success/