AI analyzes data using machine learning algorithms to predict future outcomes and reveal trends and patterns. AI eliminates errors and offers a higher level of accuracy than traditional business intelligence tools. AI automates report generation and makes it easier to understand data. Using AI-guided systems in data analysis allows you to automatically clean, analyze, explain, and visualize your data.
It's different from traditional software and its work process. Standard software requires constant human input. When it is necessary to add a new process or change an existing function, it is necessary for an engineer to physically manipulate the code. Automating the data analysis lifecycle using methods based on artificial intelligence (AI) or machine learning (ML) leads to the automation of data analysis.
Automating data analysis enables rapid information discovery and intelligent decision making, as it allows users to monitor and analyze huge data sets in a comfortable and efficient way. While traditional BI used rules-based programs to provide static analytical reports based on data, augmented analytics leverages AI techniques such as machine learning and natural language generation to automate data analysis and visualization. AI or artificial intelligence is a technology designed to emulate the human mind, especially in areas such as analysis and learning.
