Artificial Intelligence and Big Data: A Qualitative Analysis

Running head: ARTIFICIAL INTELLIGENCE
Artificial Intelligence
Name of the Student
Name of the University
Author’s note

1ARTIFICIAL INTELLIGENCE
Article Review
O'Leary, D.E., 2013. Artificial intelligence and big data. IEEE Intelligent Systems, 28(2),
pp.96-99.
Introduction
This article is retrieved from the International Journal based on Artificial Intelligence and
Big Data. This article is a peer reviewed scholarly based journal that would help in focusing on
the various forms of advancements within the Information Systems based on Artificial
Intelligence (AI). The article focuses on the qualitative analysis of surveying and conduction of
research (Lajoie & Derry, 2013).
The study represents the qualitative study of research. In this particular study, the author
has discussed about the various kinds of important implications within the educational sector
based on the Internet connected technologies (Steels & Brooks, 2018). Based on the conduction
of research on the article, the author have helped in focusing on the various forms of challenges
based on the improvement of the educational sector. Different kinds of developments in the field
of AI have helped in opening vast forms of opportunities for the building of Big Data and AI
based platforms. The study on the following article helps in surveying the basics of AI platforms.
The article also puts major focus on the varied importance of the development of different
educational applications based on internet technologies (Mellar et al., 2013).
Analysis Criteria for Qualitative Studies
The critique based on the research could be divided into four sub-sections. These would
be organized for performing a qualitative study: (a) introduction to the problem, (b) research
methods, (c) specific discussion and (d) methods for qualitative studies.

2ARTIFICIAL INTELLIGENCE
(a) Introduction to the Problem
The primary purpose of the study is to discuss about the different kinds of problems that
might have risen with the conduction of the research. In the recent times there have been some
portions of problem based on based on “reduce” and “map” based functions that have been found
within Lisp, MapReduce that would be able to break into application. The research on the article
have also raised new kinds of issues, which should be highly considered in order to progress in
the field of study. The research paper have also helped in the survey and thus helps in discussing
the importance of the web based applications within the educational sector. The study helps in
discussing the following questions: (1) Are the educational ontologies would be supposed to live
and revise through the versions in a large repository or within the web platform? (2) The time
taken before people would develop the ontologies based on education as a domain?
The author have discussed that the world of the internet is very huge. It is not smart
enough for the purpose of integration of the various pieces of information that would be needed
by any user. Such kind of integration that would be based on a user-oriented level. The authors
have helped in the discussion of the various kinds of understandings about the importance and
the ways in which different things would be related to the particular domain.
(b) Research Procedures
In the current study, the author has chosen the manner of proposing the different methods
of survey based on the previous works of other articles based on different authors. The author
has discussed that the different developers of the authoring tools should be responsible for
providing the means for the creation of educational web pages. The users of such kind of tools
should not be expected to be exclusive experts within the field of ontological engineering.