AI Agents for Financial Services: A Guide by Dataiku & Snowflake


Operationalize Agentic AI Without Compromising Control

Leading financial institutions are moving beyond disconnected tools to deploy scalable, governed AI agents that deliver real business value. Make sure you are one of them!

From risk scoring to personalized offers, Dataiku and Snowflake help organizations build agentic workflows that prove that it’s possible to innovate fast without sacrificing oversight. See how it's done and discover real-life examples in this joint guide. 

Trusted by 1 in 4 of the World's Top Companies.*
*Top 500 companies of the 2024 Forbes Global 2000, excluding China

Download the Guide
{padding={top={value=30, units=px}, bottom={value=30, units=px}, left={value=30, units=px}, right={value=30, units=px}}, css=padding: 30px; }

Build Impactful AI Agents With Dataiku & Snowflake

Drive Measurable Outcomes in Financial Services With Business-Ready Agents 

Governed From Day One

Track lineage, enforce permissions, and maintain full auditability across every step of the agent lifecycle.

Scale With Confidence

Snowflake’s elastic compute and Dataiku’s orchestration ensure AI agents scale securely and reliably.

Built for Business + Tech Teams

See how Catella cut data transformation time from five days to five minutes by giving business users a low-code path to Snowflake data through Dataiku.

From Data to Action

From risk scoring to Next Best Offer, banks use Snowflake and Dataiku to automate decisions and deliver outcomes, all while staying within regulatory guardrails.

Scale AI Agents With Dataiku & Snowflake in Financial Services

With the Dataiku LLM Mesh and Snowflake’s native GenAI Services, financial institutions can connect GenAI applications to core banking systems and governed data, while maintaining full control over the LLMs hosted in their Snowflake environment.

Asset-2@4x