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Wednesday, August 9 • 2:00pm - 2:30pm
Agile Software Development without Software (Doug Rose)

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Abstract:
Over fifteen years ago the Agile Manifesto was created for the express purpose of developing better software. Yet better software is not the underlying reason that organizations hired all those agile teams. The software was the "means" and greater organizational value was the "ends." Now many of these same organizations are looking to capitalize on a new resource. They’re collecting petabytes of structured, semi-structured and unstructured data. Exploiting this digital raw material has many of the same challenges as software development. That’s why many well-formed data science teams struggle with some of these same questions:
  • Are we creating something valuable?
  • Can we closely coordinate with our customer?
  • How can we quickly pivot to take advantage of unexpected outcomes?
Many long established agile team practices could also apply to newer data science teams. These teams require a lightweight empirical framework to help deliver products of pure discovery. The core difference is the iterative product. Instead of minimum viable software, these teams will deliver frequent valuable insights.
This talk will show how to apply a lightweight agile framework to data science teams. These teams can use modified version of common agile practices such as user stories, cross-functional teams and frequent iterative delivery.

Learning Outcomes:
  • Connect data science challenges and software development challenges
  • See how to apply the agile mindset to data science teams
  • Introduce new data science team agile practices
  • Discuss a proposed Data Science Lifecycle (DSLC)


Speakers

Wednesday August 9, 2017 2:00pm - 2:30pm
Wekiwa 3&4
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