Session Outline
Over 80% of the world’s data is unstructured, buried in documents, reports, and publicly available datasets that are difficult to process manually or with regular machine learning models. GenAI is now changing that by turning fragmented information into structured, searchable insights. This session explores how GenAI is revolutionizing large-scale document analysis, helping us uncover hidden patterns, and enhancing investigations. Attendees will gain insight into real-world cases where GenAI has uncovered insights that would have been nearly impossible to access through traditional methods.
Key Takeaways
- Garbage in gold out: How GenAI structures vast unstructured datasets, making them applicable for analysis.
- Enhancing research efficiency: How GenAI accelerates the analysis of large document collections, reducing manual workload and enabling deeper insights across various investigative fields.
- Investigative research at scale: How GenAI-driven research enhances network analysis, uncovering connections and patterns in complex datasets.
