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Thursday, May 30 • 11:30am - 12:15pm
Systematic Innovation in Data Science

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Data science, as a dynamic and emerging discipline, is wrought with contradictions:

- Quantitative / qualitative (linear / non-linear; intuitive / analytical; left brain / right brain)
- Design / development (design / implementation; strategy / execution; strategic / tactical)
- Quality / speed
- Technical perspective / social perspective
- Machine intelligence / human intelligence
- Deterministic domains / non-deterministic domains

Conventional approaches to data science pursue optimization of these contradictions. Optimization instead of resolution limits the effectiveness of data science. Systematic innovation pursues resolution instead of optimization. Systematic innovation is a combination of art plus science; it is a powerful approach that eats contradictions for breakfast.

Let's explore using systematic innovation and systems thinking to resolve these contradictions. Let's make data science more effective.

Data Science 2.0?

avatar for David Quimby, MBA

David Quimby, MBA

Principal, Innovation Radiation
I am a mathematical economist and systems analyst. I have diverse experience in large enterprise and small enterprise as a technology executive and a software entrepreneur. I am a patented inventor in the user experience and Web middleware domain. 

Thursday May 30, 2019 11:30am - 12:15pm CDT
(I) K1450 (Fireside) Normandale Partnership Center, 9700 France Ave So, Bloomington, MN 55431