What is a Data Science Life Cycle? - Data Science PM
A Data Science Life Cycle describes the steps to deliver projects and products. This post walks through one you can use on your next project.| Data Science PM
Building a Data Science MVP (Minimal Viable Product) step in your project plan can shorten time to initial delivery and decrease risk.| Data Science PM
A Data Science Life Cycle describes the steps to deliver projects and products. This post walks through one you can use on your next project.| Data Science PM
How do you prioritize deliverables in a data science project? The best was to deliver value is by slicing your project into end-to-end value pieces.| Data Science PM
Existing agile frameworks don't always work for data science. Therefore, learn about Data Driven Scrum - a new framework specific for data science teams.| Data Science PM
Data science vs software engineering? Both are great fields that are similar in many ways but there are distinct differences.| Data Science PM
As the data science function matures, a dedicated product manager to drive product vision and strategy is becoming increasingly crucial.| Data Science PM
What is Agile and is it a fit for data science? Generally, yes but the agile methodologies need to flex to the data science's unique needs.| Data Science PM
Does Scrum work for data science projects? Software's most popular agile framework provides some great benefits but it also constrains data science work.| Data Science Process Alliance
What is Kanban, and does it work for data science? Its flexibility is ideal for many projects, espicially when combined with more comprehensive approaches.| Data Science Process Alliance
AI Program Manager serve as the crucial link between AI technologies, business objectives, and project execution.| Data Science Process Alliance
