AI is only as strong as the data beneath it. Yet most enterprises still rely on fragmented tools and reactive processes that undermine trust. The result: innovation that looks impressive in demos but collapses under real-world pressure. In this keynote, Salma Bakouk, CEO of Sifflet, argues that metadata, not models, is the true foundation for the AI era. By building a metadata control plane enriched with agentic observability, enterprises can move from reactive patchwork to proactive intelligence. In this keynote, she offers a provocative vision of where the market is heading, what traditional approaches are getting wrong, and why the winners of the AI economy will be those who treat trust not as insurance, but as infrastructure.
talk-data.com
Speaker
Salma Bakouk
1
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CEO and Founder
Sifflet
Salma Bakouk is the CEO and co-founder of Sifflet, the leading holistic data observability platform. Since launching the company in 2021, she has been dedicated to building trust in data for her clients. With deep expertise in developing scalable data pipelines and implementing advanced analytics solutions, Salma has positioned Sifflet as a frontrunner in the data observability space. Before founding Sifflet, she served as an Executive Director at Goldman Sachs, where she honed her skills in managing complex data and analytics projects.
Bio from: Big Data & AI Paris 2025
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