
In today’s systems, risk doesn’t show up once a day it unfolds in milliseconds. Detecting anomalies, fraud, or operational threats requires more than dashboards. It requires real-time intelligence.
In this session, Vinija Jain explores how AI models combined with real-time monitoring infrastructure can surface high-risk events as they happen. We’ll cover practical approaches to streaming ingestion, feature computation, and instant scoring, enabling teams to move from reactive alerts to proactive prevention.
If you work in finance, security, compliance, or high-scale platforms, this webinar will show you how to design systems that find risk faster and act on it immediately.
• Why traditional batch monitoring misses high-risk events
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• How to combine AI models with real-time streaming infrastructure
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• Practical patterns for ingestion, feature computation, and instant scoring
• Designing systems that detect fraud, anomalies, and operational threats in milliseconds
• Moving from reactive alerts to proactive risk prevention