KI-Lab.EE: Empowering domain experts with No-Code AutoML

18 Sept 2024, 16:20
15m
Hannah-Vogt-Saal

Hannah-Vogt-Saal

Session 1. AutoML: Efficient Development of new AI Applications 🇬🇧 Session 1: AutoML: Efficient Development of new AI Applications

Speaker

Katharina Strecker (Zentrum für Sonnenenergie- und Wasserstoff-Forschung Baden-Württemberg (ZSW))

Description

The adoption of specialized AI solutions like predictive maintenance, anomaly detection, and image classification is increasingly important across industries, driving operational efficiency and fostering innovation. However, this requires extensive AI expertise and programming skills. While large organizations can leverage dedicated data science teams, small and medium-sized enterprises (SMEs) face substantial hurdles. No-Code AutoML tools offer a solution, democratizing AI by enabling SMEs and domain experts to implement machine learning applications without requiring extensive AI skills.

In this lightning talk we will demonstrate how No-Code AI tools can assist non-AI-expert users in creating high-quality AI solutions. The presentation will include an overview of the KI-Lab.EE software, which can be accessed free of charge by SMEs to develop AI-based applications.

Primary author

Katharina Strecker (Zentrum für Sonnenenergie- und Wasserstoff-Forschung Baden-Württemberg (ZSW))

Presentation materials

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