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How Causal AI Reveals True Cause-and-Effect Relationships

Unlike traditional data analysis, causal AI goes beyond simply recognizing patterns and reveals actual cause-and-effect relationships

GenAI implementation progress highest in IT

As part of the online event "Generative AI - Identifying potential, seizing opportunities", a survey was conducted among participants on 29.04.25 to obtain an up-to-date picture of the current mood.

AI in industry - examples and suggestions from practice

A new VDMA white paper uses case studies to show how artificial intelligence is already being used in processes, products and business models in mechanical and plant engineering.

AI in industry - examples and suggestions from practice

The new VDMA white paper uses case studies to show how artificial intelligence is already being used in processes, products and business models.

Artificial intelligence for greater profitability in mechanical engineering

A new study shows: The targeted use of Generative Artificial Intelligence can increase the profit margin in mechanical and plant engineering by up to 10.7 percentage points. This corresponds to an additional profit of 28 billion euros.

Use of GenAI in mechanical engineering - we need your input

In cooperation with PwC Strategy& (Germany) GmbH, VDMA Software and Digitalization is conducting an online survey among its member companies on the use of GenAI in mechanical engineering.

Generative AI - identifying potential, seizing opportunities

The VDMA spoke to two member companies about this topic and found out why the “human factor” will continue to play an irreplaceable role.

Happy Birthday: 25 years of VDMA Software and Digitalization!

Together with members and partners, the trade association celebrated its 25th anniversary in Würzburg. One thing became particularly clear: the trade association and its topics are playing an increasingly important role in the industry.

Generative AI also in focus in industry

As part of the online event "Generative AI - exploiting opportunities, minimizing risks", a survey was conducted among the participants on 6 February 24 to obtain a current picture of the mood.

General recommendations for the use of generative AI

The VDMA expert group "Machine Learning / AI" has drawn up a checklist for the use of generative AI, which is intended to provide initial assistance for the application in the company.

Artificial intelligence - Current activities

AI is playing an increasingly important role for companies in the mechanical and plant engineering sector. VDMA Software and Digitalization is therefore once again offering an interesting range of formats on the topic for all VDMA members.

All information about our publication overview - compact and online

Our publications deal with various aspects of digitalization in mechanical engineering companies as well as cybersecurity and information security and serve as recommendations for action.

Industrial VISION Days 2024

An unparalleled concentration of expertise - that's what the world's largest presentation forum for machine vision stands for. At the Industrial VISION Day you will find out about the latestes cutting-edge developments in the machine vision industry.

First steps into an AI project

How do you get started with this topic? Often, first projects are set up too large and complex and do not lead to a successful conclusion. Therefore, some questions should be answered before starting a project.

What does artificial intelligence mean for mechanical engineering?

Artificial intelligence is no longer just a technology of the future, it has already arrived in the everyday life of many mechanical engineers. Machine learning solutions in particular are being implemented in various fields of application.

Self-learning production processes

The guide "Self-learning Production Processes - Implementation Strategy for Reinforcement Learning in Industrial Practice" introduces the topic of Machine Learning and shows step by step how an implementation of industrial Reinforcement Learning can be carried out in one's own company. Application examples illustrate the procedure.

Optimizing processes with machine learning and little data

The "Intelligent and self-learning production processes" project investigated how machines can teach themselves optimal processes independently and through interaction with the environment using little data. The ML method "reinforcement learning" was used for this and tested on two applications.

Quick Guide "Machine Learning"

New publication of the expert group "Machine Learning".

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