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Explore the evolution from traditional send-time optimization to AI-powered decisioning in this 25-minute conference talk from Conf42 ML 2026. Learn why classic "best time to send" approaches fall short in today's noisy digital landscape where engagement rates are flatlining due to inbox overload. Discover how high probability predictions don't always translate to wise marketing actions and understand the fundamental shift from optimizing send timing to making intelligent decisions about whether to send, defer, or skip communications entirely. Examine the key signals that power modern decisioning systems including customer journey stage, fatigue levels, business rules, and human preferences. Watch a live demonstration showcasing five different scenarios across multiple channels, comparing traditional prediction-based sending with intelligent decisioning that sometimes chooses to hold back communications. Dive into the technical implementation with a detailed look at the three-layer architecture encompassing prediction, decision-making, and protection mechanisms. Address real-world production challenges including state management across competing campaigns and learn how this approach delivers measurable business impact through increased customer trust, reduced churn, and optimized long-term relationships rather than short-term engagement metrics.
