While most companies today want to implement AI, scaling is historically complex and costly. As a result, 85% of AI projects fail to make it to production. As a PhD candidate at UC Berkeley, Robert Nishihara set out to solve that problem and has since started Anyscale to help companies reduce compute costs and accelerate time to market. We cover why machine learning is so computationally intensive and why better infrastructure systems will unlock AI's full potential.