About our Tech Talk
Data teams at various companies generally exist to create and otherwise improve on business opportunities that arise from collected data. In some cases, the solution will be a simple Jupyter notebook and under different circumstances, the solution may take the form of a deployed model. Team efficiency, in the context of data projects, is improved when the underlying process is consistent. Adopting a process model for the life-cycle of data science can mean the difference between a project that provides value and one that does not. The working example for this talk will be a fictional, but realistic consulting firm that is looking to data science to help optimize how they return to business as usual in an era of COVID-19.
Get to know our Speaker
Dr. Adam Richards
Head of Enterprise Data Science at Galvanize