… of Big Data can be done through Artificial Intelligence; … data and processing as machine
learning occurs; hence the primordial need for Big Data and the desirability of real time data. As …

Artificial intelligence (AI) has been in existence for over six decades and has experienced AI
winters and springs. The rise of super computing power and Big Data technologies appear …

… capturing and structur ing big data, and it has been used to analyze big data for key insights).
… and approaches that integrate AI and big data. What Is Big Data? Michael Cox and David …

… Recent advances in artificial intelligence and the development of sophisticated machine
learning algorithms offer a potential means to use these data more efficiently and effectively. …

… algorithmic challenges due to Big Data are to be identified and clustered. Considering both
sides, a basic toolbox of improved algorithms and data structures for Big Data is to be derived…

In this paper, we present a multiple knowledge representation (MKR) framework and discuss
its potential for developing big data artificial intelligence (AI) techniques with possible …

… AI also allows users of big data to automate and enhance complex … AI on big data can have
a significant impact on the role data … how Artificial Intelligence, in conjunction with Big Data …

… , artificial intelligence in making the system intelligent regarding … schemes are presented
concerning data analytics. This … of adopting big data analytics, ML, and artificial intelligence in …

… questions regarding their big data and artificial intelligence efforts, … data. In many cases, we
seem unsure of how to apply these conventions in the era of big data and artificial intelligence…

… in training of artificial intelligence algorithms. Unfortunately, in … research in artificial intelligence
and the context of big data. … of recent developments in big data and ML in radiology with a …