Project approach.
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/ 1 Determination of the target skills for the learning journeys
Using AI algorithms, macro-economic insights to make future skill levels and paths tangible were provided. Global market data was used to detect changes in job requirements, such as evolving skills and new technologies. Telekom received future-oriented job profiles that served as target profiles for the learning journey.
/ 2 Data crawling & matching
Various training sources (e.g. learning platforms, massive open online courses) were crawled to identify suitable training providers. Through automatic extraction and analysis of training content (descriptions, titles, targets, skills, formats, etc.) a best-fit matching of the learning path requirements derived from the future profiles against the offerings of the providers was done.
/ 3 Learning journey curation
Trainings were filtered according to costs, rating, format, duration, and proficiency levels. Furthermore, white spots of training content were detected. A shortlist of relevant learning contents to identify the right matches for the Telekom training requirements was provided.