AI & Data Literacy Training

Challenge

The goal was to make typical use cases, future opportunities, and risks practically tangible through interactive exercises. Participants should be empowered to generate their own ideas for AI-based products and applications for their work environment and communicate these effectively. Our client faced the challenge of enabling thousands of employees to proactively meet the revolution of the workplace through AI and data. They sought ways to make advanced technical concepts practically accessible. A key goal was to develop a common vocabulary and shared understanding of the goals and methods in data and AI, especially for employees without prior knowledge in computer science and mathematics, to facilitate successful collaboration with data scientists, data analysts, and engineers.

Approach

To enable course participants in a scalable training format to communicate directly with practitioners and generate ideas for AI products, a concept was developed illustrating complex solutions in machine learning through tangible use case examples and interactive experiments, inviting participants to explore in the statworx cloud.

In addition to state-of-the-art solutions from research and industry in areas like computer vision, natural language processing, explainable AI, and bioinformatics, a use case workshop was central. Participants developed their own ideas for integrating AI and data-driven decision aids in their professional environment under guidance. This two-day format created a diverse program that, for several years, has formed the foundation and a common forum for growing a company-wide community centered on data, AI, and digital ethics. From this forum, initial larger networks and AI projects have already emerged.

Result

Through our training concept, over 500 individuals in Europe, North America, Asia, and Oceania have been trained. Both remote and in-person training supported many networks and the ideation of initial projects. In a further project, this training concept is now being complemented by an asynchronous, tailored learning platform and improved in scalability as a hybrid training format.