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Case Studies
Case Study

Implementation of an Image Prompting Challenge in the pharmaceutical sector

We developed a customised, interactive solution for a pharmaceutical company that wanted to train its employees in the use of generative AI and encourage their creativity and critical thinking.

  • Industry Health & Pharma
  • Topic Frontend Solution / GenAI
  • Tools JavaScript, Firebase Backend, OpenAI API
  • Duration 3 months

Challenge

At a time of rapid technological progress, the competent handling of generative AI is becoming a decisive factor for the company’s success. A leading pharmaceutical company therefore wanted to train its employees in the use of multimodal AI applications. The challenge was to develop an engaging and interactive learning experience that would enable employees to actively engage with the topic of generative AI.

Approach

To overcome this challenge, statworx developed an interactive, modern and responsive web application that included an image prompting challenge. This application aimed to improve employees’ skills in using generative AI technologies by teaching them to optimise prompts. The task is to instruct a generative text-to-image model through text-based prompts to generate specific images.

Key features of the solution:

  • Interactivity: The web application allowed users to interact with the AI in real time and see the effects of their prompts immediately.
  • Modern design: The user interface is intuitive and appealing to maximise user-friendliness.
  • Responsiveness: The application is optimised for different devices so that employees can access it both on their computer and on the move.
  • Learning orientation: By integrating tutorials and assistance, employees are gradually introduced to the optimisation of prompts

Results

The Image Prompting Challenge proved to be a great success and was enthusiastically received by the pharmaceutical company’s employees. They particularly appreciate the opportunity to experiment with AI image generation in a risk-free environment. This is also reflected in the app’s usage data: thousands of prompts were written and optimised within a short space of time.

The app achieves the following added value:

  • Improved understanding: The challenge promoted employees’ understanding of the possibilities and limitations of generative AI.
  • Promoting creativity: The task stimulated the users’ creativity and critical thinking, which had a positive impact on other areas of work.
  • Engagement: The high level of participation and positive feedback from employees showed that the application was not only educational, but also motivating.

Expert

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