Build Smarter is a full-day, in-person hands-on lab event where every attendee leaves with something working — not just a slide deck. Designed for teams at different points in their Snowflake journey, the day runs as two independent sessions that share a common theme: stop managing infrastructure, start building with AI.
Attendees can join one session or both. Each lab is self-contained and purpose-built for its audience — no prior Snowflake experience required for Session 1, and a technical deep-dive awaits in Session 2.
Agenda
12:45 – 2:15 pm | Session 1 – From Raw Data to a Conversational AI Agent
- Audience: Business analysts, data practitioners, AI/ML explorers, anyone curious about Snowflake
Turn raw data into a conversational AI agent in 90 minutes — no prior Snowflake, SQL, or AI experience required. - Session details: Attendees will build a semantic layer, a search engine over unstructured documents, and wire them into a single AI agent deployed as a branded Streamlit chat app. You’ll leave with a working agent in a trial account you keep for 30 days, plus a clear blueprint for replicating this on your own enterprise data.
2:15 – 2:30 pm | Break
2:30 – 5:30 pm | Session 2 – Snowflake Postgres: Deep Dive & Hands-On Lab
- Audience: Developers, data engineers, architects, and technical leaders
- Session details: An in-depth session for technical teams evaluating or adopting Snowflake Postgres. We’ll open with a deep dive into the platform — covering key capabilities, architecture, and real-world use cases — followed by an interactive Q&A so you can explore how Snowflake Postgres fits your specific workloads. From there, we move into a hands-on lab where you’ll get practical experience with key workflows and best practices, with additional time for open discussion.
5:30 – 6:30 pm | Happy Hour
Build Smarter is a full-day, in-person hands-on lab event where every attendee leaves with something working — not just a slide deck. Designed for teams at different points in their Snowflake journey, the day runs as two independent sessions that share a common theme: stop managing infrastructure, start building with AI.
Attendees can join one session or both. Each lab is self-contained and purpose-built for its audience — no prior Snowflake experience required for Session 1, and a technical deep-dive awaits in Session 2.
Agenda
12:45 – 2:15 pm | Session 1 – From Raw Data to a Conversational AI Agent
- Audience: Business analysts, data practitioners, AI/ML explorers, anyone curious about Snowflake
Turn raw data into a conversational AI agent in 90 minutes — no prior Snowflake, SQL, or AI experience required. - Session details: Attendees will build a semantic layer, a search engine over unstructured documents, and wire them into a single AI agent deployed as a branded Streamlit chat app. You’ll leave with a working agent in a trial account you keep for 30 days, plus a clear blueprint for replicating this on your own enterprise data.
2:15 – 2:30 pm | Break
2:30 – 5:30 pm | Session 2 – Snowflake Postgres: Deep Dive & Hands-On Lab
- Audience: Developers, data engineers, architects, and technical leaders
- Session details: An in-depth session for technical teams evaluating or adopting Snowflake Postgres. We’ll open with a deep dive into the platform — covering key capabilities, architecture, and real-world use cases — followed by an interactive Q&A so you can explore how Snowflake Postgres fits your specific workloads. From there, we move into a hands-on lab where you’ll get practical experience with key workflows and best practices, with additional time for open discussion.
5:30 – 6:30 pm | Happy Hour
OUR EXPERTS
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Dalton Ryan
Solution Engineer
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Brian Pace
Senior Data Platform Architect, Applied Field Engineer