“A tour behind the scenes of the machinery and strategic decisions of a data science team

In this talk, Lead Data Engineer Danny takes you behind the scenes in how his team orchestrates making production ready and scalable products that helps supporting business decision throughout his organization. Many people can build great data models, but building production ready data science products while also having internal stakeholders approve resources and time for projects is where it gets complicated. Here strategy, frameworks and the right tools comes to place. Without the right foundation and team, it is complicated to succeed in terms of bringing value to the workplace.

Through this talk, Danny will go through the following topics:

• Building a POC in order to get stakeholders interest
• Working with DevOps and showcasing progress
• Bringing ML into production
• Scheduling workflows and tasks with docker and kubernetes
• Utilizing data platforms to reduce daily tasks in the organization

By the end of the talk you will have an understanding of what it takes to succeed with taking data products into productions and how to get started.”