What challenges did thyssenkrupp face before AI implementation?

Skilled labor shortages in manufacturing Time-consuming machine programming and troubleshooting Need to onboard less experienced engineers faster

What was the impact of the AI solution?

Helps less experienced engineers write coding more quickly Aims to boost efficiency in manufacturing operations Supports broader rollout across serial projects worldwide

Rank#1,283of 3,449

Source

MicrosoftEvidence: Low40/100

How AI is helping Siemens and thyssenkrupp bridge skilling gaps in manufacturing

Use case typeIndustrial assistantUpdated Oct 24, 2024

Siemens and thyssenkrupp are using the Siemens Industrial Copilot to support manufacturing engineers and operators. The copilot uses Azure OpenAI Service to help generate automation code, explain source code, and assist with machine operation and troubleshooting. thyssenkrupp is adapting the copilot for its proprietary machinery and planning broader rollout across global development and manufacturing processes.

Organization: thyssenkrupp
Industry: Manufacturing
Location: Germany
Published: October 2024

Reported outcomes

Strategic outcomes

Employee experienceHelps engineers program machines fasterCost efficiencySupports easier machine troubleshooting and operationsOther strategic outcomeHelps onboard less experienced colleagues and preserve expertise

Why do we believe this deployment?Customer identity, provider attribution, maturity, and source checks

Customer: thyssenkrupp
Provider: Microsoft
Maturity: Unknown
Linked source: Microsoft News

No explicit deployment-stage evidence found.

Customer identity supportedSource describes one deploymentMaturity evidence evaluated

Primary read

Use case focus

Showing 3 of 3

1Industrial assistant
2Coding assistants
3Operations optimization

Skilled labor shortages in manufacturing
Time-consuming machine programming and troubleshooting
Need to onboard less experienced engineers faster

Siemens Industrial Copilot powered by Azure OpenAI Service with GPT-4
Engineering copilot for automation code creation and source-code explanation
Operations copilot for operator questions and diagnostic guidance
Private cloud storage of proprietary data on Azure

Technologies

Azure OpenAI GPT-4 Siemens Industrial Copilot Azure

Helps less experienced engineers write coding more quickly
Aims to boost efficiency in manufacturing operations
Supports broader rollout across serial projects worldwide

Architecture

The Siemens Industrial Copilot is a generative AI-powered assistant developed by Siemens and Microsoft. Azure OpenAI Service with GPT-4 powers the copilot. The solution has an engineering copilot that helps create automation code and explain source code, and an operations copilot that lets workers ask questions while machines are operating. thyssenkrupp adapts the copilot for proprietary machinery and stores its data in a private cloud on Azure.

Sources & evidence1

Evidence: Low40/100Evidence strength