Session

Data scientists struggle when it comes to delivering value to internal stakeholders. Ali will provide insight into what Continuous Integration and Continuous Delivery entails for Data Science work flows using IaC, python-based machine learning technologies, and cloud.

He will show how to provide value in the form of retrospective and prospective analytics through automated delivery. With companies adopting cloud computing, the need for IaC is becoming necessary. This brings new challenges from an engineering stand point where data scientists are now asked to incorporate IaC into their work flows to build CI/CD processes. Ali will provide a framework on how data scientists can build applications driven by machine learning by leveraging IaC technologies, Cloud Computing, as well as scientific libraries and web frameworks in Python.