Discover how to effectively integrate data scientists and engineers into traditional development teams in this insightful 23-minute talk from Data Council. Learn from Noelle Saldana, an experienced data scientist turned product expert, as she shares valuable observations, opinions, and lessons learned on leveraging data professionals in AI/ML product development. Explore common pitfalls to avoid, such as pursuing AI without proper data foundations, neglecting data team involvement, and the dangers of insufficient collaboration. Gain practical advice on fostering regular communication between data specialists and development teams, including involving data professionals in sprint planning and demos. Understand the crucial role data scientists and engineers play in de-risking AI and data initiatives, and learn how to align data strategy with product development for successful AI/ML integration.
Integrating Data People in App Development Team Workflows - Hot Takes and Tragic Mistakes
Data Council via YouTube
Overview
Syllabus
Hot Takes and Tragic Mistakes How (not) to integrate data people in your app dev team workflows by Noelle Saldana
Data is more important than Al
Pursuing Al when you don't have good data or metrics
No, you cannot "just add a little Al"
Not involving your data people at all
Who exactly is working together?
It is never too early to talk, but it is often too late
Data scientists and data engineers can de-risk your Al and data efforts
We want to build Al, but no one was responsible for data
One conversation is not a collaboration
Collaborate regularly e.g. invite data people to sprint planning and demos
We had ONE conversation, and now the things we built don't work together
Taught by
Data Council
