Industrial Analytics at the E-World 2022 in Essen
How can a digital twin help to improve plant operation?
Our colleague Florian Stark writes on how and why AI needs to remain explainable
AI must remain explainable
“The events of the past few years have put artificial intelligence (AI) further on the agenda for industry and business. A shortage of skilled workers, staff shortages due to the Covid pandemic, rising energy prices and a warming climate are increasing the pressure on countless economic sectors. In this context, AI is often portrayed as a potential remedy, while at the same time being treated with enormous skepticism.”
Our article, which was published in March 2022, illustrates our demand that AI is not only accessible to a small group of data scientists, but that the methods and approaches to tomorrow's data processing are always explained in an understandable way.
Based on this claim, we are involved in seminars, educational seminars and information events that make AI accessible to a wide spectrum. This article aims to clarify this demand and necessity.
You can find the link to the article on LinkedIn here: