Unlock Real-Time AI Inference Without Risking Your Production Systems

Real-time AI inference is transforming customer experiences and business decision-making — from fraud detection and pricing to personalization and agent copilots. But delivering accurate, trustworthy insights at interactive speeds requires direct access to live, governed data from your operational relational databases. Without the right strategy, these new AI workloads can overwhelm production systems, causing latency spikes, outages, and runaway costs.

In this whitepaper, you’ll learn why real-time AI inference depends on fresh, governed relational data — and how Silk enables enterprises to safely and efficiently meet the massive performance demands of AI. Discover two proven implementation patterns, explore reference architectures, and see how leading organizations are using Silk to deliver lightning-fast AI results without compromising performance, governance, or cost.