7Conclusion
The digital world is driven by big data and powered by intelligent algorithms. For people‐centric applications, data is collected from everyone's own devices and ubiquitous public facilities, and then utilized for better satisfying a customer's personal preferences and requirements. For industrial applications, data is generated from a variety of IoT devices in different business sectors and service scenarios, and then processed for supporting more efficient, productive, and autonomous operations. In order to fully exploit massive IoT data, understand customers' real needs and create commercial values, domain‐specific knowledge, operation procedures and disruptive business models should be digitalized and integrated with a series of intelligent algorithms for different service scenarios and working situations. As a result, more and more data‐driven, cross‐domain innovation ecosystems will be established and quickly become the cornerstones for a smarter society. They are more collaborative and inclusive, and can simultaneously consider different requirements from multiple perspectives, creatively identify feasible approaches with various objectives, and effectively produce a lot of social and economic benefits.
More complex data and intelligent algorithms demand more network connections, communication bandwidth, computing power, and storage space. These trends in user requirements and technology advancements motivate us to propose the data‐driven multi‐tier computing ...
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