Abstract
Design thinking and DevOps are long-standing concepts, well established and leveraged by most leading organizations. A sustainable adoption of AI for these concepts, however, is still lacking. But what exactly do we mean by adopting AI for design thinking and DevOps, and what possibilities do we have anyhow? Design thinking and DevOps methods can certainly be applied to develop AI systems and devices, products and tools, or applications. This is probably a more obvious thought. But can AI and its siblings be leveraged and infused into design thinking and DevOps concepts – and how? What are the prerequisites, challenges, and the benefits to do so? An obvious prerequisite is to first establish a sound design thinking and DevOps infrastructure and culture, prior to introducing AI and ML into these concepts.
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Notes
- 1.
See [1] and [2] for more information on design thinking.
- 2.
See [3] for more information on the original design thinking processes from Herbert A. Simon.
- 3.
See [4] for more information on this design thinking process.
- 4.
See [5] and [6] for more information on DevOps.
- 5.
See [7] for more information on Gartner.
- 6.
See [8] for more information on the interaction and coexistence of design thinking and DevOps.
- 7.
See [9] for more information on applying design thinking to AI.
- 8.
Please recall the key messages from Chapter 6, “The Operationalization of AI.”
- 9.
See [10] and [11] for more information on using AI in the context of DevOps.
- 10.
See [12] for more information on design-related models and frameworks.
- 11.
See [13] for more information on the value and power of AI design thinking.
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© 2020 Eberhard Hechler, Martin Oberhofer, Thomas Schaeck
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Hechler, E., Oberhofer, M., Schaeck, T. (2020). Design Thinking and DevOps in the AI Context. In: Deploying AI in the Enterprise. Apress, Berkeley, CA. https://doi.org/10.1007/978-1-4842-6206-1_7
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DOI: https://doi.org/10.1007/978-1-4842-6206-1_7
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Publisher Name: Apress, Berkeley, CA
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Online ISBN: 978-1-4842-6206-1
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