Towards using universal big data in artificial intelligence research and development to gain meaningful insights and automation systems

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

The increasing number of human activities using information and communication technology (ICT) generates a tremendous amount of data. It brings the opportunity to use universal big data for further computation that may deliver new insights and automation system. The technology that enables this work is artificial intelligence (AI). As known, the utilization of AI technology is becoming more and more pervasive in our daily life. Furthermore, discussion related to AI has played an essential role in an organization's decision-making process. Thus, this paper discusses the utilization of AI technology that penetrates end-To-end various aspects of human activities, such as in education, health, business, social life and so forth. The end-To-end process begins with data collection covering various types of data (text, picture, audio, video, animation) and various methods (survey, observation, interview, experiment). Then, it continues with the pre-process data cleansing and process to determine data features, and seeks the relationship within them, using machine learning process with appropriate algorithms. The results may then be used for applications portfolio in order to improve organization strategies and programs. The organization's performance can be visualized from time to time for continuous quality improvement. The end-To-end cycles of processes continue, from data collection, data pre-processing and processing, performance computation monitoring (identification, classification, prediction, and prescription), improving strategy and program, and implementing in the real-life activities until generating more behavioral data, finding pattern and design the systems. As a whole, this end-To-end cycle leads us to an AI automation system, with the power to generate meaningful insights suited to solve current problems, predicting trending issues, and understanding phenomena.

Original languageEnglish
Title of host publication2020 International Workshop on Big Data and Information Security, IWBIS 2020
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages9-15
Number of pages7
ISBN (Electronic)9781728190983
DOIs
Publication statusPublished - 17 Oct 2020
Event5th International Workshop on Big Data and Information Security, IWBIS 2020 - Depok, Indonesia
Duration: 17 Oct 202018 Oct 2020

Publication series

Name2020 International Workshop on Big Data and Information Security, IWBIS 2020

Conference

Conference5th International Workshop on Big Data and Information Security, IWBIS 2020
Country/TerritoryIndonesia
CityDepok
Period17/10/2018/10/20

Keywords

  • AI
  • artificial intelligence
  • automation system
  • big data
  • deep learning
  • end-To-end cycle processes
  • finding pattern
  • ICT
  • machine learning

Fingerprint

Dive into the research topics of 'Towards using universal big data in artificial intelligence research and development to gain meaningful insights and automation systems'. Together they form a unique fingerprint.

Cite this