NEED for AI:
To develop predictive maintenance and quality applications, reduce scrap and rework, increase production efficiency, and achieve sustainable and energy-efficient production. AI also plays a crucial role in detecting potential problems early on
AI REGIO SOLUTION:
Creating a novel approach for interactive manufacturing AI with the concept of AI Data Stories at its core, providing an interactive learning environment for data and process experts to quickly connect manufacturing data and develop micro AI applications.
Increased adoption of AI application in manufacturing SMEs through the innovative Data Story module.
Potential for a completely new interactive machine learning process that takes different knowledge of stakeholders into account.
Improvement in the manufacturing process by collecting annotations and feedback from various experts.
Strengthening the developer base and widespread adoption of the Apache StreamPipes tool, resulting from the EU research project.
While technological advancements have lowered the technical barrier for implementing advanced AI applications, developing good prediction models for specific processes remains time-consuming and involves collaboration between stakeholders. AIDA-MAN aims to develop an innovative approach using AI Data Stories as a communication instrument to quickly build micro AI applications targeting predictive analytics applications or classification tasks based on raw and continuous sensor data.