Precision Technology using IoT Data Analytics and Machine Learning

Authors

  • Prof. Jason LAM Author

Keywords:

Precision Technology, IoT Data Analytics, Machine Learning, Predictive Modeling, Real-time Data Processing

Abstract

In the rapidly evolving landscape of technology, Precision Technology emerges as a transformative approach, leveraging the integration of Internet of Things (IoT) data analytics and machine learning to drive innovation across various sectors. This abstract outlines the synergistic relationship between IoT and machine learning, highlighting its potential to enhance precision in numerous applications.IoT devices generate vast amounts of real-time data from diverse sources, encompassing sensors, smart devices, and interconnected systems. This influx of data, while valuable, presents significant challenges in terms of volume, velocity, and variety. Machine learning, with its ability to process and analyze large datasets, plays a crucial role in extracting meaningful insights from IoT data. By employing advanced algorithms, machine learning models can identify patterns, predict outcomes, and optimize processes with remarkable accuracy

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Published

2024-01-09

How to Cite

Precision Technology using IoT Data Analytics and Machine Learning. (2024). International IT Journal of Research, ISSN: 3007-6706, 2(1), 23-33. https://itjournal.org/index.php/itjournal/article/view/5

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