About this paper

Appears in:
Pages: 100-102
Publication year: 2020
ISBN: 978-84-09-17979-4
ISSN: 2340-1117
doi: 10.21125/edulearn.2020.0059

Conference name: 12th International Conference on Education and New Learning Technologies
Dates: 6-7 July, 2020
Location: Online Conference


S. Chowdhury

Roosevelt University (UNITED STATES)
Today’s science, medicine, business and other professionals must navigate vast realms of data to solve problems and advance in their professions. Gaining insight from the vast amount of data is an important topic in today’s world. Over the years database applications, data warehouses, and data analysis tools have evolved into a unique and popular business solutions to attain Business Intelligence (BI) from data. The process of attaining BI from data can be summarized in the following scheme:
Data -- > Information ---- > Understanding ---- > Knowledge ---> Business Intelligence
The work intends to study and present big data both from business value and technological perspectives in order to recommend what technology should be used and how different technologies could be combined together to harness the power of big data particularly in business and medicine. In this work we intend to present our finding from an ongoing research project on big data management. The focus of the project is to study data analytic tools and techniques, which uses cognitive computing based on Artificial Intelligence (AI) technologies (for examples IBM’s Watson Analytics, ANN (Artificial Neural Network) to explore and validate their appropriateness in big data analysis. Ultimate purpose of the project is to propose and validate an integrated framework for big data analysis using cognitive computing tools. Cognitive computing is the simulation of human thought processes in a computerized model. Cognitive computing involves self-learning systems that use data mining, pattern recognition and natural language processing to mimic the way the human brain works. Despite the fact that artificial intelligence is an oxymoron there are strong evidences that an AI program, like Watson Analytics, ANN and others; can outperform humans when it comes to number crunching. The project will help us with a variety of skills, tools and techniques to understand data, examine problems and bring forth insights from large and complex data sets, like big data. These acquired in depth knowledge of big data, known as business intelligence; could be applied to real life problem solving in related disciplines. Our belief is that the intended project will make a substantial contribution in the field of big data management and also benefit education and learning process.
author = {Chowdhury, S.},
series = {12th International Conference on Education and New Learning Technologies},
booktitle = {EDULEARN20 Proceedings},
isbn = {978-84-09-17979-4},
issn = {2340-1117},
doi = {10.21125/edulearn.2020.0059},
url = {http://dx.doi.org/10.21125/edulearn.2020.0059},
publisher = {IATED},
location = {Online Conference},
month = {6-7 July, 2020},
year = {2020},
pages = {100-102}}
AU - S. Chowdhury
SN - 978-84-09-17979-4/2340-1117
DO - 10.21125/edulearn.2020.0059
PY - 2020
Y1 - 6-7 July, 2020
CI - Online Conference
JO - 12th International Conference on Education and New Learning Technologies
JA - EDULEARN20 Proceedings
SP - 100
EP - 102
ER -
S. Chowdhury (2020) COGNITIVE COMPUTING IN BIG DATA MANAGEMENT, EDULEARN20 Proceedings, pp. 100-102.