Natural-Language Access to Your Snowflake Data in Six Weeks
The end goal of any Snowflake migration is the same: governed data the business can actually use. But even after migration, the data team remains the bottleneck for every ad-hoc query and market signal.
How we did it in 6-Weeks
N-iX and Snowflake use Snowflake Cortex Analyst and a semantic layer to let non-technical executives query data using natural language while maintaining compliance with the bank's own data definitions and governance controls.
What we will cover:
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The FS&I Data Bottleneck: Why Snowflake migration alone doesn't give business users direct access. What the ticket queue actually costs in delayed credit decisions and slow regulatory reporting.
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Live Demo - Cortex Analyst: Watch CRO, COO, and Head of Retail Banking personas asking real questions on a live banking dataset. See the semantic layer generate high-precision SQL in real-time.
- Snowflake FSI Portfolio Case Studies: A walkthrough of 3 specific production deployments using Cortex Analyst, Cortex Search, and Document AI across mixed structured/unstructured data.
Who This Is For: This session is designed for CTOs, CDOs, and VPs of Data Engineering looking to reduce ad-hoc workloads, and for CROs or CFOs who need to produce regulatory reports on demand.
The Speakers:
- Rostyslav Fedynyshyn: Director of Data & Analytics at N-iX, specializing in data architecture for banks and insurers.
- Ivan Kobza: N-iX Data Architect building Snowflake implementations for financial institutions r.
- Filip Dzięcioł: Partner Solution Engineer at Snowflake, hepling partners build AI-powered data solutions on the Snowflake platform.
If you can’t attend live, register to receive the recording.
