Real-Time Fraud Detection with Agentic ML in Snowflake #machinelearning #automation

Añadido: 2026-05-16

[00:00:00]Is moving data across platforms for real-time ML costing you time and money?

[00:00:04]There's a better way.

[00:00:06]Now you can run batch and online use cases on the same platform as your secured and governed data in Snowflake.

[00:00:13]Build, deploy, and manage it all in one place.

[00:00:16]Let me show you how easy it is to build and deploy a real-time fraud detection model with just five simple natural language prompts.

[00:00:23]First, I'm going to [music] ask Cortex Code to generate synthetic data.

[00:00:28]Perform exploratory data analysis.

[00:00:34]And train a model and evaluate the performance.

[00:00:42]And finally, log the model into model registry. [music] Now let's run some inference and [music] check the latencies.

[00:00:52]And this all completed in less than 100 milliseconds.

[00:00:55]That's how easy [music] it is to generate low latency predictions in real time on the same platform as your data in Snowflake.

[00:01:04]>> [music]