Below are five key steps D&A leaders can take to build a business case for continuous data quality assurance, in order to ...
Atreya: The quality of data is crucial to the effectiveness of AI systems. If the data used to train an AI model is inaccurate, incomplete, inconsistent, or biased, the model's predictions and ...
Unsurprisingly, my last two columns discussed artificial intelligence (AI), specifically the impact of language models (LMs) on data curation. My August 2024 column, “The Shift from Syntactic to ...
introduces the EduSent-Dig model, which can carry out advanced sentiment analysis and use big data techniques to evaluate teaching quality. By analyzing the student emotional response given in ...