Abstract
There is a scarcity of empirical evidence surrounding the challenges and approaches to artificial intelligence deployment. Using data analytics, our study moves from speculation to gathering evidence. Our findings show that most challenges arise during implementation and relate to skills, culture, and resistance to share information driven by data challenges.
| Original language | English |
|---|---|
| Pages | 28-37 |
| Number of pages | 10 |
| Volume | 53 |
| No. | 10 |
| Specialist publication | Computer |
| DOIs | |
| Publication status | Published - Oct 2020 |
| Externally published | Yes |
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