Industry1h ago
Enterprise AI Fails By Treating Knowledge As Data
Billions in corporate spending focus on larger models and faster infrastructure. This approach fails because it treats structured knowledge as raw data. Enterprise AI requires a shift toward contextual understanding over sheer volume. Practitioners must prioritize knowledge architecture over data ingestion to avoid costly, inaccurate deployments that fail to deliver actual business value.