Implementing Artificial Intelligence In Big Data Determines The Types of Data Analysis For Business Decision-Making

This research measures the association of Big data and AI, focusing on how these technologies enhance various types of data analysis critical for business decision-making. By analyzing a substantial dataset of data scientists and analysts from countries of the world, the study identifies patterns and relationships between different types of Big data, AI techniques, and the resultant data analyses. It aimed to establish the relationship between big data and artificial intelligence and the relationship between artificial intelligence and the types of data analysis for the strategies or decision-making that companies require. This research attempts to understand better how companies make decisions about how or what types of analysis are most appropriate, incorporating artificial intelligence to analyze the various data structures generated in companies. A sample of 3,574 data science and analytics specialists from countries was analyzed from a database https://www.kaggle.com. The results indicated a relationship between Big data and intelligence, as well as between artificial intelligence and different types of data analysis. 66% of data mining artificial intelligence algorithms mainly were implemented for structured data. Data mining artificial intelligence algorithms mostly analyzed 37% of diagnostic data types. 3% of prescriptive data types were analyzed mainly by text-mining artificial intelligence algorithms.