Bridging Raw Mediums and Context-rich Systems
The prime concern about ensuring the requisite delivery of context-rich systems is management of the raw data pool. While, on one hand, the context-rich systems have to depend on ubiquitous computing environment for constant data supply, on the other hand, the computing environment collects raw data through large number of sensors. The crude data varies randomly in terms of diversity, speed and enormity. Intelligent inferencing of the collected data would naturally require consolidation and distribution of the information with the associated devices and programs. Ultimately, the sensors function as bridging factors between raw data collection medium and intelligent, contextually aware computing systems.
Why Context-rich Systems Will Lead
Why context-rich systems will lead the upcoming strategic technology trends? Because, contextually relevant data sharing is the ultimate goal that other trends are trying to achieve or be benefitted from it. Customer/user convenience is surely the ultimate outcome, inspiring modern enterprise. Alongside, they also have realized that almost real-time, context-rich results are of extreme importance when it comes to ensuring swift decision making and better operations control for overall improvement of the business.
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