In using only past data, however, there are limits to future predictions with artificial intelligence and big data. Humans need to take the lead in predicting or creating the future by trying to understand why data emerged. Knowledge technology contributes to that understanding, regardless of the field of origin. As a matter of fact, knowledge technology includes many technologies developed in informatics, management study, and systems science. The desirable features of knowledge technology are the complementary use of rational and intuitive approaches, the integration of results from quantitative and qualitative analyses, and the cooperation between artificial intelligence and humans.
Converting Data and Information into Valuable Ideas
In using only past data, however, there are limits to future predictions with artificial intelligence and big data. Humans need to take the lead in predicting or creating the future by trying to understand why data emerged. Knowledge technology contributes to that understanding, regardless of the field of origin. As a matter of fact, knowledge technology includes many technologies developed in informatics, management study, and systems science. The desirable features of knowledge technology are the complementary use of rational and intuitive approaches, the integration of results from quantitative and qualitative analyses, and the cooperation between artificial intelligence and humans.
- ISBN:
- 9789811632525
- 9789811632525
- Category:
- Knowledge management
- Format:
- Paperback
- Publication Date:
- 11-07-2021
- Publisher:
- Springer Verlag, Singapore
- Country of origin:
- Singapore
- Pages:
- 120
- Dimensions (mm):
- 235x155mm
- Weight:
- 0.22kg
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