Real-Time Data from IoT Devices and Their Influence on Decision Making

随着物联网（IoT）的广泛扩展和普及，收集我们个人数据并监控我们一举一动的设备现在正在产生大量信息。目前的预测表明，到2020年，物联网连接设备将达到260亿至750亿台，到2022年，物联网智能家居市场估计将达到1217.3亿美元，多达69%的北美人预计到2019年将购买至少一台家用或可穿戴物联网设备。然而，这些技术生成的所有数据仍然孤立在制造商的云服务中，需要专有算法进行处理，为用户提供有意义和可操作的知识的努力有限。由于数据和信息过载的有用性有限，用户正在停止使用物联网和可穿戴技术。

With the wide expansion and uptake of Internet of Things (IoT), devices collecting our personal data and monitoring our every single move are now generating huge amounts of information. Current forecasts indicate between 26 and 75 billion IoT connected devices by 2020, with the IoT smart home market estimated to be at US$ 121.73 billion by 2022, and as much as 69% of North Americans expected to buy at least one in-home or wearable IoT device by 2019. However, all the data generated by these technologies are still siloed within manufacturers’ cloud services and require proprietary algorithms to be processed, with limited effort towards providing users with meaningful and actionable knowledge. Users are discontinuing the use of IoT and wearable technology due to limited usefulness of the data and information overload.