Generative AI is all the rage. In this modern age, the numerous applications of Generative AI in different sectors, including Business Intelligence and Data Analytics are undeniable. Companies are incorporating AI in their workflow to automate tasks, produce content, scale their profit, and do more in less time. This is a significant increase from 1% of data it accounted for a few years ago, says the same report.
You can also personalize the data that you train it on, making these tools more effective in analyzing the current situation and making better future decisions. These tools can identify patterns and trends more easily than humans and traditional Data Analytics tools. You can also train and improve the accuracy of your existing predictive models using Generative AI. One way to do that is by generating synthetic data and testing your models more realistically and robustly.