Focus on business use cases first – Greg Coquillo

With so much hype about machine learning, people think every problem needs to be solved and can be solved with ML. In this episode, Greg Coquillo goes over the importance of separating use cases where ML can be beneficial and use cases where just a rule-based approach might work. Greg talked about re-learning statistics, probability, and data science to apply strategically in his job. Greg is taking his team to using ML where it makes sense such as classification so ML can do lot more and lot faster than humans. The episode also covered the importance of transparency in AI/ML and how documentation is key to driving that transparency.