
doi: 10.1109/mitp.2016.43
Artificial intelligence (AI) is increasingly hyped by everyone from well-funded startups to well-known software brands. Although it's receiving a lot of visibility, the fact that AI technologies all require some element of knowledge engineering, information architecture, and high-quality data sources is not well known. Here, the author describes the need for high-quality, structured data before AI technologies can be of use to organizations and their customers.
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 11 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
