Artificial Intelligence and Cognitive Analytics approaches towards Efficient Predictions for Business Intelligence

Business Intelligence techniques no longer just evolve around traditional databases and warehouses, but have leaped into the era of big data. The aim is now to extract as much hidden knowledge from this rich data. The data is highly varying and evolves from various sources. Business improvement stra...

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Bibliographic Details
Published in:International journal of computer applications 2014-01, Vol.103 (14), p.35-39
Main Authors: Kanetkar, Salil, Chanchlani, Neha
Format: Article
Language:English
Subjects:
Artificial intelligence
Boards
Business
Expert systems
Information management
Natural language (computers)
Strategy
Trains
Online Access:Get full text
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Summary:Business Intelligence techniques no longer just evolve around traditional databases and warehouses, but have leaped into the era of big data. The aim is now to extract as much hidden knowledge from this rich data. The data is highly varying and evolves from various sources. Business improvement strategies usually revolved just around board room discussions; however these discussions are now more often aided with mining strategies. Machine learning, Artificial Intelligence techniques are of great advantage in predicting efficient strategies and business patterns. Apart from this, cognitive analytics and natural language processing are such techniques which could drastically change how business intelligence has been perceived. They try to emulate the human mind and train the computer to think accordingly. In this paper, we highlight the above listed methods in detail.
ISSN:0975-8887
0975-8887
DOI:10.5120/18146-9409