À l'ère de la production d'IA, les enjeux liés à la qualité et à la fiabilité des données sont plus critiques que jamais, surtout avec l'augmentation constante du volume des actifs de données. 

Face à ce constat, les équipes data sont confrontées à un défi de taille : comment fournir des données prêtes pour l’IA sans augmenter leurs effectifs ? C’est là qu’intervient l’observabilité des données agentique. 

Rejoignez cette session pour découvrir cette nouvelle ère :

- Comment les agents vont révolutionner et accélérer les workflows d’observabilité des données

- Pourquoi les agents fourniront une qualité de données contextualisée selon les équipes, et pourquoi cela est important

- Comment les interfaces en langage naturel vont encore démocratiser l’observabilité des données à l’échelle de l’organisation

Vous repartirez avec une vision claire de la façon dont le marché de l’observabilité des données intègre les capacités de l’IA pour accompagner les entreprises dans leur quête d’analytique de pointe et de données prêtes pour l’IA.

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.

Salma Bakouk (CEO of Sifflet) and I discuss the evolving data and AI landscape, the rise of data observability in the age of AI, balancing personal and professional life as a founder, and much more.

Industry leaders from Adaptavist and Givaudan will share insights into their data stack and maturity, the importance of data observability, and who should own it internally. They will discuss their journey to securing buy-in for data observability, offer advice for organizations beginning their journey, and explore the future role of automation and AI in this space.

In this talk, Pete from Penguin Random House will introduce his 3 E's theory, highlighting the critical steps of Establishing a data structure, Enabling teams, and Exploiting results for optimal impact. He'll delve into how trust in both data and process, underpinned by data observability, is essential for transforming data skepticism into meaningful collaboration.

Summary The problems that are easiest to fix are the ones that you prevent from happening in the first place. Sifflet is a platform that brings your entire data stack into focus to improve the reliability of your data assets and empower collaboration across your teams. In this episode CEO and founder Salma Bakouk shares her views on the causes and impacts of "data entropy" and how you can tame it before it leads to failures.

Announcements

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Interview

Introduction How did you get involved in the area of data management? Can you describe what Sifflet is and the st