Understanding how AI and machine learning businesses are valued, including IP assessment, technical due diligence, and strategic value considerations for AI assets.

**Key Topics:**

– ML model architecture and performance evaluation

– Training data valuation and licensing considerations

– Algorithm uniqueness and patent protection

– Technical infrastructure and scalability assessment

– Competitive analysis and market positioning

– Strategic value beyond financial metrics

– Due diligence processes for ML businesses