Town Hall

As the field of Data Science continues its accelerated growth, the need for leaders to develop and manage effective teams is quickly becoming more acute.   As machine learning models become integral in critical business processes, enterprises are fundamentally shifting the methodologies, ethics and technologies used for model lifecycles.

In this interactive session you will discuss:

• Building and managing an effective Data Science team - central, decentralised or hybrid, and what drives these different approaches?
• How to select and develop your team members to create a self-sustaining pipeline of analytics projects while establishing a funding model that enables ‘fail fast’?
• Making appropriate technology selections to deliver real value to your company while balancing the ‘preferred’ data scientists’ toolset and the realities of the production environment