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AI and Machine Learning in IoT
By gathering data, analyzing trends, detecting anomalies, and learning what actions or conditions are most suitable, machine learning in IoT systems can help users automate and make the best choices while saving resources from manual work. First, users identify a goal for the system to reach and develop algorithms to predict data patterns. The system’s predictions are then qualified by the user, approving it as a basis for decisions within the business’ operations.
Applications for AI/ML in IoT are many and broad. For example, the technology is deployed within agriculture, weather prediction models, and driverless transport systems, to name a few areas. In addition, users lay the foundation for the future of true AI in IoT through the systems working with machine learning today.
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