Practical Applications of Generative AI in Data Analytics

In a very short period of time, may be over a last decade, data analytics has went through several big transformations. Initially, it became digitized. Second, we all witnessed the emergence of ‘Big Data’ analytics, driven partly by digitization and partly by massively improving storage and processing capabilities. And now, in the last couple of years, analytics has been transformed once again by emerging Generative AI models that can analyze data at a previously unseen scale and speed. Gen AI is becoming a data analyst’s personal assistant, taking over less exciting tasks – from basic code generation to data visualization. With a bit of practice, you can successfully use GenAI for?data analysis?and visualization. But how do you get started? Are there any limitations to LLMs in data analytics? Click here to know more about practical examples of how to use generative models for data analysis: Practical Applications of Generative AI in Data Analytics