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EdPlus Staff Upskilling Sessions

Business problem we are solving for

The problem that this solution addresses is the need to enhance the AI skills and knowledge of employees at EdPlus. By conducting AI upskilling sessions, the organization aims to provide its staff with training on new AI tools, best practices, and an opportunity to clarify any doubts or questions related to the technology. This initiative aims to empower employees with the necessary skills and understanding to effectively utilize AI in their work, leading to improved performance and innovation within the organization.

Summary of project

We would like to hold AI upskilling sessions at EdPlus where we can talk about new tools, best practices and answers any questions on the technology people might have.

Goals



Primary Features:

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Scope of project

The project will include the following stages:
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Requirements Gathering
Conduct comprehensive discussions with ASUO stakeholders to identify specific requirements, brand guidelines, and content creation challenges.
Document the identified requirements and establish clear objectives for the project.
Data Aggregation and Preprocessing
Collect and curate a suitable dataset of ASUO-related content to train the AI models.
Model Development
Train and fine-tune AI models using NLP techniques to enable content generation and rewriting capabilities.
Continuously evaluate and refine the models to ensure their performance aligns with ASUO's expectations.
Integration
Integrate the AI content generation tool with ASUO's existing content management systems or platforms.
Testing and Evaluation:
Conduct thorough testing and quality assurance to ensure seamless integration and functionality.
Deployment and Monitoring
Deploy the tool in ASUO's environment, ensuring proper configuration and compatibility.
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Resources/teams involved

Project Manager: Responsible for overall project coordination, communication, and timeline adherence.
Product Owner: A project stakeholder who will act as the voice of the user and make decisions about the product direction.
AI/ML Engineers: To build, train, and test the AI models.
Data Engineers/Analysts: To handle data aggregation, cleaning, and preprocessing.
Software Developers: For system integration, API management, and front-end interaction.
QA & UX Research: To conduct rigorous testing on the results of the AI models

EdPlus Staff Upskilling Sessions Tasks 3
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EdPlus Staff Upskilling Sessions Timeline 2
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Additional Considerations


Next Steps

From POC to Phase 1




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