ARTIFICIAL INTELLIGENCE AND BIG DATA

  • Shivangi Shandilya Dronacharya College Of Engineering, Gurgaon
  • Surekha Sangwan Dronacharya College Of Engineering
  • Ritu Yadav Dronacharya College Of Engineering
DOI: https://doi.org/10.53555/cse.v1i4.517
Keywords: Big data, artificial intelligence, parallelization

Abstract

Artificial intelligence (AI) interests the study and development of intelligent machines and software. The related ICT research is highly technical and specialized, and its central problems include the development of software that can reason, gather knowledge, plan intelligently, learn, communicate, scent and Manipulate objects. It also allows users of big data to automate and enhance complex descriptive and predictive analytical tasks that, when performed by humans, would be extremely labor acute and time consuming. Thus, unleashing AI on big data can have a significant impact on the role data plays in deciding how we work, how we travel and how we can conduct business.

Downloads

Download data is not yet available.

Author Biographies

Shivangi Shandilya, Dronacharya College Of Engineering, Gurgaon

Dept. of Computer Science Engineering

Surekha Sangwan, Dronacharya College Of Engineering

Dept. of Computer Science Engineering

Ritu Yadav, Dronacharya College Of Engineering

Dept. of Computer Science Engineering

Published
2015-04-30
How to Cite
Shandilya, S., Sangwan, S., & Yadav, R. (2015). ARTIFICIAL INTELLIGENCE AND BIG DATA. IJRDO -Journal of Computer Science Engineering, 1(4), 14-17. https://doi.org/10.53555/cse.v1i4.517
Issue
Vol. 1 No. 4 (2015): IJRDO - Journal of Computer Science Engineering
Section
Articles

Author(s) and co-author(s) jointly and severally represent and warrant that the Article is original with the author(s) and does not infringe any copyright or violate any other right of any third parties, and that the Article has not been published elsewhere. Author(s) agree to the terms that the IJRDO Journal will have the full right to remove the published article on any misconduct found in the published article.