Project Management for Data Teams Panel
data strategy
management
panel
The adoption and subsequent success of data science projects in organizations are still limited. Even with skilled teams and an abundance of resources and data, this can still be the case. One important reason is the difficulty in managing such work - from the day-to-day processes to developing longer roadmaps aligned with the rest of the company. Much of the inspiration for conducting such work comes from but is not limited to the software field, including agile and lean development methodologies. This panel discussion will cover best practices and examples of successful project management in complex data science and engineering projects.
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