Jennifer Belissent

Change – social and environmental, rural and urban – disproportionately impacts women and children. The UN reports that 80% of people displaced by climate change are women and girls. Research shows that domestic violence and crime, particularly against women, increases with male job loss. Understanding prevailing patterns by combining location data with social and environmental data can help identify vulnerable populations and mitigate these risks. Join this session with Snowflake and Ordnance Survey to: • Explore how integrating different types of geospatial data, such as maps, with open source data can expose the impact of these changes • Discover how overlaying this information enriches visualization and analysis of vulnerabilities to identify better solutions • Learn how data from the UK’s Ordnance Survey available through the Snowflake Marketplace addresses global challenges and helps mitigate risks • Hear about Snowflake’s initiative to End Data Disparity

As organizations continue to expand their AI initiatives, one critical challenge remains: proving the business value of AI investments. While theoretical discussions on "what data is worth" have persisted for years, today’s executives must answer a more pressing question: How do we track, quantify, and communicate the impact of AI on revenue, efficiency, and business outcomes? In this session, we bring together leading executives from data-driven enterprises to share their real-world experiences, discussing the frameworks, KPIs, and hard-won lessons that enable organizations to justify AI investments and secure long-term executive buy-in.

Establishing a data and AI-driven culture doesn’t happen overnight. And it won’t happen with just a vocal leader, no matter how big the megaphone. Real buy-in requires a show rather than tell approach. When people see and hear real results, real change typically follows. Better yet, participation gives them a stake in the game. Join this session to hear how Snowflake’s customers communicate the value of data and AI to develop a data culture and drive truly transformative change.