Kishore Aradhya

From knowledge to measurable skills and impact, this session explores how Snowflake Academia and Northeastern University are redefining AI education for the agentic era. We start with imparting AI knowledge and then move on to project-driven mastery, where students solve realistic problems by building knowledge graphs and agentic AI and data engineering workflows on Snowflake’s free-to-academic AI platform. Enhanced by industry guest lecture, mentorship and iterative innovation, this model bridges the gap between classroom and career. Learn how to empower students to architect real-world solutions using contextual engineering and the latest AI skills. The future is skills based; let’s build it.

Frontdoor, a leading provider of home service plans, is transforming how homeowners maintain and repair their homes through AI-driven solutions. Learn how they transitioned data science and analytics developers from decentralized environments to Snowflake Notebooks at scale. Join this session to explore key development patterns supporting gen AI, classic ML, GraphRAG and Graph Analytics, enabling efficient model development and deployment. Throughout this transition, Frontdoor prioritized data gravity, consolidating computational workloads within the Snowflake ecosystem to maximize performance and efficiency.