|International Journal of Computer Applications
|Foundation of Computer Science (FCS), NY, USA
|Volume 103 - Number 14
|Year of Publication: 2014
|Authors: Salil Kanetkar, Neha Chanchlani
Salil Kanetkar, Neha Chanchlani . Artificial Intelligence and Cognitive Analytics approaches towards Efficient Predictions for Business Intelligence. International Journal of Computer Applications. 103, 14 ( October 2014), 35-39. DOI=10.5120/18146-9409
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.