Repetitive tasks by lecturers
Sequence Number
1
Industry
Education
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How 5G enabled
Make an inventory of tasks and determine what data to be collected to take out many of these tasks using AI.
Data Flows
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Devices
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Description
- We will know what type of sensors to focus on once we know the tasks at hand
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Connectivity
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Description
- Data sent to Enterprise store
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Edge Compute
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Description
- Not required for real-time intervention, but this is expected to change
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Cloud Compute & Storage
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Description
- Equipment data stored to train AI algorithms
- All data in Enterprise store
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Applications & Services
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Description
- Type of models still to be determined
- Maybe NLP gets information out of large documentation sets.
Application Logic
Description
- Create an overview of the main tasks of a lecturer.
- Look at all tasks and determine how ML / MV / NLP can help execute or simplify these tasks. Start tasks where AI can make most of the impact.
- Based on this list, determine if/what data is needed to be able to use this as input for these models.
- We need SMEs and data scientists to develop and enhance these models.
- Reach out to a number of universities to see if / what tooling they are using in this space.
Expected benefits
- More efficient use of lecturers
- Higher success rate of students in completing their academic qualifications
Key value created
- Improved productivity of the lecturer
- Reduced costs since more work can be done in shorter periods