From Chaos to Efficiency: Driving AI Scalability Through Data Normalization and Token Reduction

From Chaos to Efficiency: Driving AI Scalability Through Data Normalization and Token Reduction

Tuesday, May 19, 2026 12:00 PM to 12:20 PM · 20 min. (America/Chicago)
Floor 3, A1 & A2
Presentation
Mobile Networks Path to AI-Native

Information

  • New strategies for AI sensor-based network-level data acquisition
  • Reduced data volumes with ML pre-processing techniques (identification of patterns, anomalies, and correlated context)
  • Ensuring predictable performance, reliability, and security across highly distributed environments
  • Support for network slicing, edge computing, and deterministic QoS with scalable inference and ultra-low latency

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