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PIA - A Concept for a Personal Information Assistant for Data Analysis and Machine Learning of Time-Continuous Data in Industrial Applications

Authors :
Schnur, Christopher
Dorst, Tanja
Deshmukh, Kapil
Zimmer, Sarah
Litzenburger, Philipp
Schneider, Tizian
Margies, Lennard
Müller, Rainer
Schütze, Andreas
Schnur, Christopher
Dorst, Tanja
Deshmukh, Kapil
Zimmer, Sarah
Litzenburger, Philipp
Schneider, Tizian
Margies, Lennard
Müller, Rainer
Schütze, Andreas
Publication Year :
2024

Abstract

A database with high-quality data must be given to fully use the potential of Artificial Intelligence (AI). Especially in small and medium-sized companies with little experience with AI, the underlying database quality is often insufficient. This results in an increased manual effort to process the data before using AI. In this contribution, the authors developed a concept to enable inexperienced users to perform a first data analysis project with machine learning and record data with high quality. The concept comprises three modules: accessibility of (meta)data and knowledge, measurement and data planning, and data analysis. Furthermore, the concept was implemented as a front-end demonstrator on the example of an assembly station and published on the GitHub platform for potential users to test and review the concept.

Details

Database :
OAIster
Notes :
text, text, English
Publication Type :
Electronic Resource
Accession number :
edsoai.on1439386086
Document Type :
Electronic Resource