New AI agents handle pipeline creation, data science workflows and analytics queries autonomously, potentially reshaping how enterprise data professionals spend their time.

2- A natural language processing (NLP) library: Choose an NLP library that can help your system understand the intent behind the user's voice commands.

An open-source natural language processing (NLP) pipeline trained on a small, annotated data set achieved an F1 score accuracy of 0.88 and extracted over 60,000 SDoH factors across 13 categories and ...