Overview
As the use of AI for anomaly detection, predictive maintenance, and autonomous control continues to expand, understanding the importance of communication quality has become increasingly essential for maximizing the performance of AIoT systems.
This white paper outlines key AIoT applications, explains the impact of communication quality on AI analysis and decision-making, highlights the challenges of communication quality evaluation, and introduces Anritsu solutions to address these challenges.
Key contents
- From IoT to AIoT: How data use is evolving
- Ensuring input data quality for AI inference
- Ensuring temporal consistency in multi-sensor data
- Solutions for Communication Quality Evaluations
