<ul data-eligibleForWebStory="false"><li>AI has shifted from futuristic speculation to practical necessity, with specialized AI models achieving incredible feats in specific industries.</li><li>Specialized AI models like FinBERT, BioGPT, and LegalBERT are tailored to specific industries through fine-tuning, demonstrating the potential of AI in finance, healthcare, and legal tech.</li><li>The threat of dirty data looms over specialized AI models, with issues like biases, inaccuracies, and inconsistencies potentially sabotaging the effectiveness of these models.</li><li>To combat dirty data, organizations must prioritize data-quality strategies such as continuous validation and rigorous consistency checks to ensure specialized AI models can deliver reliable outcomes.</li></ul>

The Silent Revolution of AI - and Its Dirty Data Problem

Discover more