Course number: 01ST104
- Obtain an overview and understand the potential and requirements for using machine learning in test data analysis.
- Get to know crucial software tools and libraries for data management and ML-based analysis.
- Learn best practice for integrating ML applications into your testing workflows.
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The VDI Workshop on "Artificial Intelligence in Test Data Analysis" provides an introduction to the use of machine learning (ML) in test data evaluation. Discover how deep learning architectures can be applied to time series, audio signals, images and documents. You'll also get hands-on experience with essential software tools and libraries. By the end of the workshop, you'll be equipped to improve your test data analysis with ML and design practical use cases for your daily work.
The Rise of Artificial Intelligence
AI and ML are transforming test data analysis, enabling faster and more precise evaluations. These technologies can quickly identify patterns in large, unstructured datasets, helping engineers make better decisions. As a result, skills in data science and AI are becoming essential in vehicle development. The VDI “Artificial Intelligence in test data analysis” Workshop offers a comprehensive overview of the immense potential of ML in test data analysis and practical advice on implementing ML in your organization.
The workshop will focus on deep learning methods for processing acoustic data, time series, images and documents. Through practical examples, you'll learn how to implement automated assessments, assisted root cause analysis and intelligent test planning. Interactive sessions will help you develop your own use cases efficiently and you'll also explore the latest tools for data management, ML algorithms and data visualization. Best practice will show you how to successfully integrate ML techniques into your testing routine.
The workshop is scheduled for the day before the VDI Conference ELIV 2024. Take advantage of a significantly reduced combination price by booking both events together.
Topics Covered
The VDI “Artificial Intelligence in test data analysis” Workshop will consider the following topics, amongst others:
- Fundamentals of machine learning for analyzing unstructured data
- ML applications in test data analysis
- Core algorithms and training strategies in deep learning
- Best practice for applying ML in test data analysis workflows
- Designing use cases with the Value Proposition Canvas and the Industrial AI Canvas
Advantages
- Obtain an overview and understand the potential and requirements for using machine learning in test data analysis.
- Get to know crucial software tools and libraries for data management and ML-based analysis.
- Learn best practice for integrating ML applications into your testing workflows.
Program
Target Group
The VDI Workshop on "Artificial Intelligence in Test Data Analysis" is aimed at test engineers and project managers who want to develop and expand their expertise in the field of machine learning methods.
Your Speaker
Dr. Stefan Suwelack earned his Ph.D. from the Karlsruhe Institute of Technology (KIT) in "Real-time biomechanical modeling for intraoperative soft tissue registration." From 2008 to 2016, he worked as a research associate at KIT’s Institute for Anthropomatics and Robotics, focusing on numerical simulation and machine learning. He is the CEO and co-founder of Renumics GmbH, established in 2016.
Book Now
Are you ready to transform your test data analysis with machine learning? Would you like to build your skills in data science and AI to advance your career? Secure your ticket now for the VDI Workshop on "Artificial Intelligence in Test Data Analysis."