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Closing the Competence Gap
OEB 28th November 2019 – Per Bergfors
How do we know which
competencies our students
should master?
Which are getting more important,
which are diminishing or taken for
granted?
Cphbusiness – University of Applied
Sciences
• State-funded, self-governing institution
• Business, IT and biotechnology
• 10.600 students including app. 1000
international
• International partners app. 75
CityHillerød SøerneLyngbyNørrebro
Way forward
• Interviews with 25
CMO experts
• Analysis of job-
adds within sales
and marketing
• Analysis of
structured data
(XML tags)
• Analysis af
unstructured data
– job add text
Data sources
• Danish Marketing
Association
• OFIR – job portal
• With various domain
specific taggings
• Web Crawling any job
add that have been
posted since May
2018 on a daily basis
(850.000+)
• Without any tagging,
but improving step by
step by ML and other
data upgrading
techniques
Tools
• IBM Watson
• Text analysis
• POS – Part of
speech tagging
• Semantic analysis
• Natural language
processing (NLP)
• Annotations
• Machine learning
• Deep learning
• AI
Challenge about ontology!
• What does experience mean?
• Come up with any phrase you can think
of that illustrates some kind of
experience?
• The role of domain knowledge
How can you describe experience …
How do you think others would …
• You have worked with
• You have experience with
• You have studied …
• You have heard about …
• You are using …
• You have knowledge about …
• You know how to …
• You are familiar with
• You have tried …
• Etc.
Soft skills
Soft skill
301 jobs where ”digital” is in the add
and the correlation is high

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Compentence gap softskills - oeb19

  • 1. Closing the Competence Gap OEB 28th November 2019 – Per Bergfors
  • 2. How do we know which competencies our students should master? Which are getting more important, which are diminishing or taken for granted?
  • 3. Cphbusiness – University of Applied Sciences • State-funded, self-governing institution • Business, IT and biotechnology • 10.600 students including app. 1000 international • International partners app. 75 CityHillerød SøerneLyngbyNørrebro
  • 4. Way forward • Interviews with 25 CMO experts • Analysis of job- adds within sales and marketing • Analysis of structured data (XML tags) • Analysis af unstructured data – job add text
  • 5. Data sources • Danish Marketing Association • OFIR – job portal • With various domain specific taggings • Web Crawling any job add that have been posted since May 2018 on a daily basis (850.000+) • Without any tagging, but improving step by step by ML and other data upgrading techniques
  • 6. Tools • IBM Watson • Text analysis • POS – Part of speech tagging • Semantic analysis • Natural language processing (NLP) • Annotations • Machine learning • Deep learning • AI
  • 7. Challenge about ontology! • What does experience mean? • Come up with any phrase you can think of that illustrates some kind of experience? • The role of domain knowledge
  • 8. How can you describe experience … How do you think others would … • You have worked with • You have experience with • You have studied … • You have heard about … • You are using … • You have knowledge about … • You know how to … • You are familiar with • You have tried … • Etc.
  • 11. 301 jobs where ”digital” is in the add and the correlation is high