Big data analytics can enable timely and accurate insights using machine learning and predictive analytics to make better decisions.
Professionals are stumbling over themselves to line up and proclaim that big data analytics will enable people to finally see themselves clearly through their own fog.
In this paper, we have introduced the articulation of the privacy-by-design in big data analytics and social mining for enabling the design of analytical processes that minimize the privacy harm, or even prevent the privacy harm.
Accordingly, many heterogeneous components and devices across dispersed infrastructures and disparate networks need to interconnect as part of vast architectures enabling big data analytics, context-aware computing, intelligence functions, and service provisioning on a hard-to-imagine scale [19].
Advancements in big data, analytics, and machine learning have enabled companies to gain greater insight into their customers than ever before, not to mention provide personalized recommendations and even make predictions.
Big data analytics with its intricate insights is enabling service providers to better gauge customer needs.
The key applications enabled by big data analytics and context-aware computing include transport, mobility, traffic lights and signals, energy systems, power grid, environment, buildings, public safety and civil security, planning and design, healthcare, education and learning, the quality of life, and urban infrastructures and facilities monitoring and management.
In "The core enabling technologies of big data analytics and context-aware computing for smart sustainable cities of the future" section, we identify, distill, describe, and discuss the core enabling technologies of big data analytics and context-aware computing necessary for the functioning of smart sustainable cities of the future, as well as touch upon some key related issues.
There are many permutations of the core enabling technologies underlying big data analytics and context-aware computing.
However, the literature on the core enabling technologies of big data analytics is scant in relation to smart sustainable cities and related sustainability applications.
