Snowflake Virtual Connect: Insights from the Experts

Name: Snowflake Virtual Connect: Insights from the Experts
Start: 2026-07-18T18:30:00+05:30
End: 2026-07-18T20:30:00+05:30

Jaipur

Join us for the Snowflake Virtual Connect event where you'll get exclusive insights into the latest updates and features...

Jul 18, 1:00 – 3:00 PM (UTC)

AICortexData EngineeringGen AI

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About this event

Join us for the Snowflake Virtual Connect event where you'll get exclusive insights into the latest updates and features from Snowflake experts. This is a unique opportunity to understand how these new updates can enhance your data strategies and optimize performance. Connect with fellow Snowflake users and data enthusiasts to share best practices and learn from their experiences. Don't miss out on this chance to engage with the experts and expand your Snowflake knowledge. Register now to secure your spot in this exciting virtual event!

When

Saturday, July 18, 2026
1:00 PM – 3:00 PM (UTC)

Agenda

Enabling Autonomous Workflows with Context Intelligence on Snowflake - By Karthik Raman	Discover how Snowflake's context-aware intelligence empowers autonomous workflows by combining data, AI, and business context to drive smarter decision-making. Learn how organizations can automate complex processes, improve operational efficiency, and deliver real-time insights with minimal human intervention.
The Three Levels of Snowflake Observability: From Pipeline Monitoring to AI Tracing in Regulated Industries - By Riya Khandelwal	Most data teams start with "did my job run?" but regulated industries demand much more — lineage proof, freshness guarantees, cost accountability, and now, full traceability of AI decisions. This session introduces a three-level observability maturity framework for Snowflake: Level 1 covers pipeline health (task DAGs, stream lag, SLA alerts); Level 2 adds data quality enforcement (DMFs, reconciliation checks) and cost attribution across business units; Level 3 extends into AI observability — tracing Cortex AI function invocations, logging prompt inputs and model outputs via event tables, monitoring token spend, and detecting model drift.
Snowflake's Commitment to Iceberg and Interoperability - By Bharath S	Snowflake supports full bidirectional interoperability through the Iceberg REST Catalog. Whether Snowflake is acting as a consumer of Iceberg tables managed elsewhere or as a source for downstream systems, we believe customers, not platforms, should decide how and where their data is used. Catch up more in the session
Building Smarter AI Workflows with MCP Servers and Snowflake Intelligence - By Divyansh Saxena	This session demonstrates how to leverage the Model Context Protocol (MCP) to extend Snowflake CoWork (formerly Intelligence) with custom tool capabilities. We'll walk through building and deploying an MCP server, connecting it to Snowflake's AI layer, and showing how agents can dynamically invoke external tools to answer complex questions that go beyond static SQL queries. Attendees will see a live demo of an MCP server providing real-time context to Snowflake Intelligence, enabling richer, more actionable AI-driven interactions with their data platform.

Speakers

Karthik Raman

LTM

Snowflake Data Superhero and Head of Snowflake Practice

Riya Khandelwal

Publicis Sapient

Snowflake Data Superhero and Assistant Data Engineer Manager

Bharath Suresh

Snowflake

Senior Solutions Engineer

Divyansh Saxena

Tredence

Manager and Snowflake Data SuperHero

Host

Divyansh Saxena

Tredence

Manager and Snowflake Data SuperHero

Organizer

Divyansh Saxena

Tredence

Assistant Manager

See bio

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