Part 3/13:
He notes that AI models' failures often trace back to underlying data issues. Despite decades of discussions around data quality, failures persist, especially as projects incorporate AI—a trend that has intensified recently. According to research, 80% of AI projects tend to fail, with around 30% being abandoned by 2025. These statistics underscore the high stakes involved and suggest that overlooking data quality fundamentally undermines AI success.