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LoRaWAN Live: Munich - Empowering Energy: AI and Data Science in the Utilities Sector

This presentation explores the synergy between IoT devices, anomaly detection, and artificial intelligence (AI) in ensuring the reliability and security of connected systems. Anomaly detection plays a crucial role in identifying abnormal patterns or behaviors within IoT data streams, enabling proactive intervention to prevent potential issues or security breaches. This presentation will discuss how organizations are leveraging IoT devices equipped with sensors to collect vast amounts of data from various sources, including equipment, infrastructure, and environmental conditions. By employing advanced AI algorithms such as machine learning and deep learning, these organizations can analyze IoT data in real-time to detect anomalies that may indicate potential failures, security threats, or abnormal behavior.