This site uses cookies which allow us to give you the best browsing experience possible. To find out more, please see our Privacy Policy.


What does it take to shape the world of tomorrow sustainably?

To answer the pressing issues of the present day we need human resourcefulness.

Elisa, how do you acquire new knowledge? Why is it important to share knowledge?

Knowledge shouldn’t serve to provide an advantage to an individual or a certain group, but everyone in a company or a society.
Elisa Wang-Rührnößl

Siddhartha, how do you share your knowledge with your colleagues?

I pass on useful information through digital channels, and sometimes we also meet up – physically at meetings or virtually in an online conference in order to discuss the topics. Our transfer of knowledge has an important function, because no organization is able to grow without a good platform for the exchange of knowledge.
The more we share, the more we learn. Voith has launched many initiatives aimed at developing this new way of exchanging knowledge and promoting community thinking.
Siddhartha Mishra

Ying, how do you like to learn? And how do you pass on your know-how?

Voith offers very good further training and knowledge-sharing platforms to maintain and strengthen our competitiveness.
Ying Huang

In order to acquire and pass on knowledge, humans use various digital and analog channels.

But how do machines achieve the same? How exactly does AI learn?

This is explained by Jens Haag,
Director of R&D Advanced Analytics and Controls at Voith Digital Ventures.

Jens Haag
Director of R&D Advanced Analytics and Controls, Voith Digital Ventures

Emulating humans

To use a simplified generalization, artificial intelligence stands for an imitation of human learning ability, in most cases in connection with a decision derived from the use of computer software. For this purpose, the corresponding models are generated from data and evaluated for other specific situations. In turn, machine learning addresses such creation of models that puts the data available into context. In this respect, a distinction is made between supervised learning and unsupervised learning. In the case of unsupervised learning, the computer searches for patterns and similarities in the data available and collates the same. With supervised learning, in contrast, artificial intelligence attempts to make exact predictions by simulating general rules.

AI is good for the climate

Artificial intelligence will continue to significantly gain in importance, and in many areas will lead to an improvement in the quality of decision-making. Smart electricity grids already use models of weather patterns and energy demand to coordinate electricity production and distribution in a highly efficient manner. In the mechanical and plant engineering industry there is always scope for increasing the efficiency of a production facility and the quality of its product. Anomalies or errors in the process or in plant components can be identified at an early stage, which allows maintenance work to be planned and carried out in due time. Most of all, however, this in turn makes a contribution to boosting sustainability through the optimum use of resources such as energy, raw materials and water.

Voith & Artificial Intelligence

The project at the Budarhals power plant in Iceland shows how Voith uses artificial intelligence to make hydropower plants more intelligent.