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

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

Business Horizons, 2020, vol. 63, issue 2, 205-213

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.

Keywords: Artificial intelligence applications; Cognitive computing systems; Innovation management; Technology adoption (search for similar items in EconPapers)
Date: 2020
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Citations: View citations in EconPapers (31)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:bushor:v:63:y:2020:i:2:p:205-213

DOI: 10.1016/j.bushor.2019.11.004

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