Skip to content
  • Subscriptions
  • Editorial Calendar
  • Media Data
  • Newsletter
  • Contact
  • German
  • Login / Register
  • Cart / 0,00 € 0
    • No products in the cart.

      Return to shop

  • Subscriptions
  • Editorial Calendar
  • Media Data
  • Newsletter
  • Contact
  • German
Industry 4.0 ScienceIndustry 4.0 Science
  • 0
    Cart

    No products in the cart.

    Return to shop

  • I4S+
  • Industry 4.0
    • Automation
    • Digital Twin
    • Factory Planning
    • Industry 4.0
    • Internet of Things
    • Lean Production
    • Sustainability
    • Manufacturing Systems
    • Adaptability
  • Artificial Intelligence
  • Functions
    • Start-up Management
    • Maintenance
    • Logistics
    • Assembly
    • Product Development
    • Production Planning
    • Production Control
    • Process Management
    • Quality Management
    • Risk Management
    • Safety
  • Tools
    • Additive Manufacturing
    • Analytics
    • Augmented Reality
    • Blockchain
    • Modularization
    • Training
    • Robotics
    • Sensors
    • Simulation
    • Software
  • Management
    • Services
    • Dynamics
    • Energy Efficiency
    • Leadership
    • Business Models
    • Innovation
    • SME
    • Management
    • Product Piracy
    • Resource Efficiency
    • Strategy
    • Profitability
  • Journal
    • Current Issue
    • Editorial Calendar
    • Editorial Board
    • Order in Print
    • All E-Journals
    • Annual Table of Contents
    • List of Reviewers
  • Information
    • Books
    • Find 4IR Consultants
    • Find Smart Factory Software
    • Find ERP Consultants
    • Find ERP Software
    • Open Access Articles
    • About GITO
  • I4S Shop
  • German

Autor: Lukas Gründel

Industrial Data Processes for AI Technologies

Industrial Data Processes for AI Technologies

Recommendations for Action Using the Example of Robotics Applications
Christian Brecher, Manuel Belke, Minh Trinh, Lukas Gründel, Oliver Petrovic
Data plays an important role in our world - including production technology. Businesses are faced with rising customer demands and competitive pressure. Furthermore, the trend towards smaller batch sizes and increasing variant diversity requires quick reactivity and agility. In order to make the right decisions under these circumstances, data must be generated and analyzed to derive insights. AI technologies are suitable to address the growing uncertainty and complexity. In the following, methods are described that are vital to master data processes for high-quality AI technologies.
Industrie 4.0 Management | Volume 37 | 2021 | Edition 6 | Pages 37-41
  • About GITO
  • Factory Innovation
  • ERP Management
  • GITO Events
  • AIS Transactions on Enterprise Systems
  • Our Partners
  • FAQ for Readers
  • Cancel Subscription
  • Media Data
  • Newsletter
  • Become an Author
  • Editorial Process
  • Open Access by GITO
  • Publication Ethics
  • Contact
Visa
MasterCard
PayPal
  • Imprint
  • Cookie Policy
  • Data Privacy Policy
  • General Terms and Conditions (T&C)
Copyright 2026 © GITO
  • I4S+
  • Industry 4.0
    • Automation
    • Digital Twin
    • Factory Planning
    • Industry 4.0
    • Internet of Things
    • Lean Production
    • Sustainability
    • Manufacturing Systems
    • Adaptability
  • Artificial Intelligence
  • Functions
    • Start-up Management
    • Maintenance
    • Logistics
    • Assembly
    • Product Development
    • Production Planning
    • Production Control
    • Process Management
    • Quality Management
    • Risk Management
    • Safety
  • Tools
    • Additive Manufacturing
    • Analytics
    • Augmented Reality
    • Blockchain
    • Modularization
    • Training
    • Robotics
    • Sensors
    • Simulation
    • Software
  • Management
    • Services
    • Dynamics
    • Energy Efficiency
    • Leadership
    • Business Models
    • Innovation
    • SME
    • Management
    • Product Piracy
    • Resource Efficiency
    • Strategy
    • Profitability
  • Journal
    • Current Issue
    • Editorial Calendar
    • Editorial Board
    • Order in Print
    • All E-Journals
    • Annual Table of Contents
    • List of Reviewers
  • Information
    • Books
    • Find 4IR Consultants
    • Find Smart Factory Software
    • Find ERP Consultants
    • Find ERP Software
    • Open Access Articles
    • About GITO
  • I4S Shop
  • German
  • Login / Register
  • German