AI-Ready Data in Practice Preparing, Optimizing, and Running Inference in the Cloud

Many AI initiatives stall before production because inference requires separate pipelines, duplicated datasets, and costly data movement. Join Silk for a live demo to see how teams can run real-time AI inference directly on live cloud data—eliminating ETL bottlenecks while keeping data in place.

In this session, we’ll show how Silk helps organizations prepare and optimize cloud data for AI workloads, then run inference against live datasets with the performance production use cases demand.

You’ll see how to:

• Reduce duplicate data copies and unnecessary data movement
• Accelerate real-time inference on cloud data
• Support use cases like fraud detection, personalization, and operational analytics