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Designing, developing, and deploying artificial intelligence systems: Lessons from and for the public sector

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  • Desouza, Kevin C.
  • Dawson, Gregory S.
  • Chenok, Daniel

Abstract

Artificial intelligence applications in cognitive computing systems can be found in organizations across every market, including chatbots that help customers navigate websites, predictive analytics systems used for fraud detection, and augmented decision-support systems for knowledge workers. In this article, we share reflections and insights from our experience with AI projects in the public sector that can add value to any organization. We organized our findings into four thematic domains—(1) data, (2) technology, (3) organizational, and (4) environmental—and examine them relative to the phases of AI. We conclude with best practices for capturing value with cognitive computing systems.

Suggested Citation

  • Desouza, Kevin C. & Dawson, Gregory S. & Chenok, Daniel, 2020. "Designing, developing, and deploying artificial intelligence systems: Lessons from and for the public sector," Business Horizons, Elsevier, vol. 63(2), pages 205-213.
    • Handle: RePEc:eee:bushor:v:63:y:2020:i:2:p:205-213
    DOI: 10.1016/j.bushor.2019.11.004
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    References listed on IDEAS

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