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International Journal of Applied Research
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ISSN Print: 2394-7500, ISSN Online: 2394-5869, CODEN: IJARPF

Impact Factor: RJIF 5.2

International Journal of Applied Research

Vol. 3, Issue 10, Part C (2017)

Automated artificial intelligence powered decision-making in big data

Author(s)
Indrasen Poola
Abstract
This paper covering the automation of business intelligence and decision making technologies. The dynamic BI and decision making technologies are crucial for business for the actionable insights and decisions to run the business more effectively and dynamically on-time with the real time data monitoring. With the help of full automation of optimized machine learning predictive models, narrative science technology, cloud, and big data usage making the Big data decision the most efficient way, self-service, user and business friendly for the organizations and all the top and preferred choice Big Data vendors are able to adopt these add-in technologies and approaching towards building the innovative technologies for the automation of business decision making products and services.
Pages: 181-183  |  351 Views  16 Downloads
How to cite this article:
Indrasen Poola. Automated artificial intelligence powered decision-making in big data. International Journal of Applied Research. 2017; 3(10): 181-183.
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