
In the rapidly evolving field of artificial intelligence, the accuracy and performance of AI models are increasingly contingent on the quality of data they are trained on. This has made data curation a pivotal process within AI development, ensuring datasets are optimally prepared for use in the AI lifecycle. As AI systems progressively permeate various industries, it becomes essential for










