Machine Learning in IoT
|出版日期||內容資訊||英文 25 Pages, 7 Tables
本報告提供IoT系統和應用所使用的機器學習 (ML) 調查分析，主要的產業領域和應用概要，IoT分析的年度收益預測，主要供應商簡介等系統性資訊。
With the number of IoT-connected devices estimated to grow to tens of billions by the end of the decade, the volume of the data generated by these devices is poised to reach unprecedented proportions. According to ABI Research's research analysis Edge Analytics in IoT (AN-1914), the total volume of data produced annually by IoT-connected devices is estimated to reach almost 130 million yottabytes (YB) in 2020, where 1 YB equals 1024 bytes or 1018 megabytes (MB). With such huge numbers in play, managing the large volume, variety, and velocity of big data becomes one of the major challenges the IoT industry has to face today.