Summary

• Machine Learning talents are expensive and scarce.

• Machine Learning teams have a diverse set of roles.

• Machine Learning projects have unclear timelines and high uncertainty.

• Machine Learning is also the “high-interest credit card of technical debt."

• Leadership often doesn’t understand Machine Learning.