Heather shares the challenges faced in data labeling, highlighting the costly decision to manually label 20,000 conversations due to privacy concerns. The team initially explored unsupervised learning methods but realized the need for actionable business insights, emphasizing the importance of real-time relevance in their data classification efforts.
