Big Data Analytics and Cognitive Computing: A Review Study

With the development of the Internet of Things and Artificial Intelligence algorithms, various human-centered smart systems are proposed to provide higher quality services such as smart healthcare, emotional interaction, and automated driving. Cognitive computing is an important technology for the development of these systems according to big data analysis. Analyzing big data by humans is a long process and cognitive computing can be used to process these large volumes of data. Cognitive computing is the concept of observation, interpretation, evaluation, and decision that are mapped to five features of big data that is volume, variety, veracity, velocity, and value. However, the perspectives expressed on these features are yet to be widely explored in the existing literature. The aim of this manuscript is to review the links between big data and cognitive computing in past, present, and future studies. Surveys show that the major emphasis is the creation of value by the process of data to information to knowledge to wisdom. Moreover, we present a conceptual model for linking cognitive computing features using the benefits of big data that can help to better understand the complexity of data deluge.

Keywords:

Big Data Analysis , Cognitive Computing , Artificial Intelligence , Human-Centered Smart Systems , Knowledge Extraction