How To Utilize AI For Improved Data Cleaning
Data Science Central, Tuesday, September 3rd, 2024
You spend most of your workweek preparing and cleaning datasets. What if you could cut that time in half? With AI, you could streamline your workflows while improving accuracy and quality. How can you incorporate this technology into your process?
The benefits of using AI to clean datasets
If you've ever cleaned a dataset, you know how tedious it is. You spend 80% of your time cleaning and exploratory analysis, leaving little time for visualization, presentation, reporting or insight extraction. The longer you spend in this phase, the less time you have to generate value or uncover trends.
With a large language model (LLM), you don't have to explicitly outline every possible edge case to ensure it functions without making mistakes. Moreover, you don't need to retrain it for each new dataset. Since machine learning algorithms adapt as they process new information, they can dynamically adjust to unexpected irregularities within pre-defined parameters.