Sifflet is the leading data observability platform that delivers data trust at scale for analytics and AI initiatives by bridging the gap between technical and business users.  Global customers like the Penguin Random House, Carrefour, Auchan, CMA CGM and Adaptavist rely on Sifflet to reach and maintain high levels of data quality and reliability needed for business critical analytics and AI.  Sifflet is a best-in-class data observability solution for the entire organization, ranked Best estimated ROI and Fastest implementation by G2 users. 

Sifflet, the AI-augmented data observability platform built for data teams with business users in mind.

As data platforms grow, they often become black boxes. How do you ensure reliability and trust without slowing down innovation? Mahdi reveals how to build a scalable data observability practice fueled by active metadata. Discover real-world strategies for using metadata to power governance at scale, implement policy-based monitoring, and leverage AI to detect anomalies before they impact users. This session provides a blueprint for embedding trust and control directly into your data fabric, enabling teams to move faster, with confidence.
