Governance is the foundation of any successful data strategy. This track explores how to build scalable frameworks that balance compliance, security, and accessibility without slowing down innovation. Sessions will cover topics like metadata management, data lineage, regulatory compliance, privacy, AI governance, and strategies for maintaining high-quality data at scale.

Building a reliable and scalable data ecosystem requires the right architecture. This track focuses on best practices for managing data pipelines, real-time processing, observability, and infrastructure that supports cost-effective, governance-ready systems.

AI, analytics, and BI are only as powerful as the data behind them. This track focuses on data workflows that strengthen AI/ML, enable self-service BI, and foster data democratization for confident decision-making.

Successful data teams need more than just technical skills - they need strong leadership and strategy. This track covers hiring, scaling, managing change, career growth and balancing governance with agility. Sessions will feature discussions with data leaders on building high-performing teams and fostering a data-driven culture.

Every dataset has a story to tell. This track is an open stage for sharing passion projects, and unique perspectives on data. Whether it’s visualizing historical events, analyzing music trends, or mapping the rise of viral memes, this is the space to get creative. We want talks on any topics that fascinate you - if there’s data behind it, it belongs on this stage.