Institutions are drowning in complex, fragmented data ecosystems, slowing down AI adoption, increasing compliance risks, and making data governance a burden.

Without clear data lineage automation, organizations struggle with data trust, explainability, and operational inefficiencies. In this session, Adam Segal, Senior Solutions Engineer of Cloudera Octopai Data Lineage, will reveal how automated lineage and metadata intelligence can:

•  Unravel the data mess by mapping end-to-end lineage across hybrid environments
•  Ensure AI readiness with traceable, high-quality metadata flows
•  Simplify compliance with real-time visibility into data movement and ownership
•  Empower teams by making data accessible without IT bottlenecks 

Discover how leading organizations turn automated data lineage into a competitive advantage, ensuring data clarity, compliance, and increased adoption of AI-driven innovation.

Institutions face fragmented data ecosystems that slow AI adoption, increase compliance risks, and complicate governance. Without clear metadata lineage, trust, explainability, and operational efficiency suffer.
In this session, we demonstrate how automated lineage and metadata intelligence:
- Map end-to-end lineage across hybrid environments
- Ensure AI readiness with traceable, high-quality metadata.
- Simplify compliance with real-time data visibility.
- Empower teams with accessible data, avoiding IT bottlenecks.
Discover how institutions turn metadata into a competitive advantage.