Federico Zoufaly Boldrini

Evolving a data platform is about more than migration — it’s about building a unified foundation for scale. As iSpot grew, rising costs, system instability and duplicated data in Amazon Redshift increased operational overhead and led to customer-facing data issues. In this session, iSpot shares why they are consolidating on Snowflake on AWS, how they approached the migration amid growing AI investment, and what they learned. The shift improves platform stability, enables more consistent data delivery, and streamlines data quality processes while reducing duplication and support burden, laying the groundwork for scalable analytics and future AI innovation.

Public sector organizations are under pressure to modernize legacy systems, control costs and deliver better services for their communities. Multnomah County — home to Portland, Oregon — faced these same challenges as it sought to move away from expensive, aging SQL Server infrastructure. Together with Snowflake, the county leveraged SnowConvert AI to accelerate code conversion and migration, transforming its data operations onto the Snowflake Data Cloud. Join us to hear how this partnership reduced costs, improved scalability and positioned the county to deliver smarter, data-driven services to citizens through Snowflake CoWork.

Over the past year, SnowConvert AI has transformed from a code translation tool into a fully intelligent modernization engine. In this session, the SnowConvert AI team reveals what’s new: deeper AI integration, support for partial and incremental migrations, smarter schema mapping, and a completely reimagined user experience designed for speed and transparency. Learn how these innovations make migrations to Snowflake faster, more flexible and more predictable than ever before — helping organizations modernize with confidence and unlock the full power of the Snowflake Data Cloud.

Migrating a legacy data warehouse to Snowflake should be a predictable task. However, after participating in numerous projects, common failure patterns have emerged. In this session, we’ll explore typical pitfalls when moving to the Snowflake AI Data Cloud and offer recommendations for avoiding them. We’ll cover mistakes at every stage of the process, from technical details to end-user involvement and everything in between — code conversion (using SnowConvert!), data migration, deployment, optimization, testing and project management.

Learn how to accelerate and automate migrations with SnowConvert AI, featuring data ecosystem migration agents powered by Snowflake Cortex AI. SnowConvert AI is your free, automated solution designed to dramatically reduce the complexities, costs, and timelines associated with data warehouse and BI migrations. It intelligently analyzes your existing code, automating code conversion, data validation, and streamlining the entire migration process. Join us for an overview of the solution, migration best practices, and live demos.