Abstract
We explore the evolution of digital career advising companions for the rapidly growing knowledge economies to enable continuous evaluation and re-skilling of workforce in a wide range of domains. These companions deal with a variety of unstructured data sources to glean actionable insights. We present our experiences from building one such companion, and describe interesting natural language processing and machine learning challenges and open problems.
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CITATION STYLE
Agrawal, B., Liu, R., Kokku, R., Chee, Y. M., Jagmohan, A., Nitta, S., … Sin, S. (2017). 4C: Continuous cognitive career companions. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 10331 LNAI, pp. 623–629). Springer Verlag. https://doi.org/10.1007/978-3-319-61425-0_78
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