Despite the inherent complexities of healthcare data, there is potential and benefit in developing and implementing big data solutions within this realm.
This example brings us to a second area where the law faces inherent challenges from technology in the realm of big data - the use of personal data for further purposes - such as analytics - and the handing over of data from the original collector to a third party.
Topical studies tend to only pass reference to such technologies or to largely focus on one particular technology as part of big data and context-aware ecosystems in the realm of smart cities.
In contrast to its use in the hard sciences, the application of big data to the social, political and economic realms won't make these area much clearer or more certain.
Imaging appropriateness, scheduling efficiency, and image interpretation performance all represent realms in which we may be able to use big data to improve our practices, in terms of throughput, diagnostic accuracy, and patient satisfaction.
However, topical studies tend to deal largely with the IoT and related big data applications in connection with economic growth and the quality of life in the realm of smart cities, and largely ignore their role in improving environmental sustainability in the context of smart sustainable cities of the future.
Big data analytics and context-aware computing share basically the same core enabling technologies in the realm of smart sustainable cities, especially their effects overlap in many aspects with regard to advancing the process of sustainable development.
In the realm of Big Data analytics, a critical yet often overlooked issue is that of (big) data integrity and accuracy.
Among these technologies are big data analytics and context-aware computing, which are rapidly gaining momentum and generating worldwide attention in the realm of smart sustainable urban development (e.g. [1, 2, 5, 6, 9 11]).
While this might seem the realm of others like GE Predix or perhaps Cloudera, Hortonworks or other software designed specifically to process big data, Salesforce believes it has a role here, particularly because the data is not locked into Salesforce.
