Viable enables large-scale qualitative data analysis using GPT-4

AI Impact Summary

GPT-4 is being deployed to automate qualitative coding, theme extraction, and sentiment mapping across very large datasets, enabling analysis at a scale that was previously impractical. This shifts data pipelines toward prompt-driven inference with structured outputs, impacting storage, compute costs, and latency budgeting for the Viable analytics platform. While this promises faster, more consistent insights, it also necessitates robust QA, bias and hallucination controls, and governance around data privacy and provenance for sensitive qualitative data.