Matt Glickman

Watch autonomous agents build a production data pipeline live. Watch as Genesis Computing shows how Snowflake CoCo and Genesis Data Agents run the entire data operations as one unified stack to ingest, map, code, test, deploy, monitor and self-heal data pipelines autonomously. Multiple concurrently working agents build and utilize context graphs while collaborating in real time end-to-end. This is the "better together" story — with proof. Walk away with: A replicable blueprint for agentic AI on Snowflake Real enterprise impact, with enterprise agentic AI building and use of context graphs to perform end-to-end data engineering

Experience the future of data engineering with enterprise AI data agents in this immersive demo. See firsthand how intelligent Genesis agents autonomously discover and extract data from Databricks' bronze layer, leverage dbt for efficient transformation, and deliver it seamlessly into Snowflake’s secure, performant gold layer. Driven by cutting-edge agentic automation, Genesis streamlines complex data pipelines, minimizes manual overhead and proactively monitors workflows — all running natively within Snowflake. This session is ideal for data engineers and AI specialists eager to optimize efficiency, accuracy and unlock unmatched productivity.

Discover how GXS, Singapore's first digital bank, transforms its data engineering SDLC through a partnership with Genesis, achieving significant gains in cost, quality, and time-to-market. By leveraging autonomous AI agents and task-specific microbots, GXS automates complex processes. The solution features Cortex-AI Agents, Cortex Search, and seamless git/JIRA integration within SPCS. This reduces the SDLC from months to hours, boosting productivity and reinforcing GXS's leadership in banking.