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Race to Catch Up in Artificial Intelligence

By kruti bharadva,

Added 23 July 2021

In order for Germany to catch up in the area of artificial intelligence (AI), Continental is calling for a fundamental shift in the training of AI specialists in universities

In order for Germany to catch up in the area of artificial intelligence (AI),  Continental is calling for a fundamental shift in the training of AI specialists in universities. "AI is a  key success factor for Germany as a business location. Without a fundamental rethink, Germany will fall behind the global front runners when it comes to technology," explained Dr. Ariane  Reinhart, Continental Executive Board member for Human Relations. "In order for the economy to  have a sufficient number of AI graduates available, universities must focus their training more on  practical requirements. Otherwise, our national economy risks losing ground on other leading  economies when it comes to technology." 

As things currently stand, universities may indeed produce many, often highly distinguished AI  scientists. However, due to the lack of practical expertise, these scientists are not directly available  to industry. "Measured in terms of the requirements of the economy, the graduates of AI-oriented  courses are not sufficiently trained in practice-oriented aspects," said Reinhart. "We have to  systematically introduce AI specialists coming from universities to actual practice. This requires a  further three to five years of additional training - which is a lot of time in view of the speed at which  the use of AI is developing in all areas," explained Reinhart. 

Continental spends tens of millions on the training and further training of its more than 1,000 AI  specialists each year. "The economy must let go of the idea that the universities are producing fully  trained AI specialists. Due to the high rate of innovation and strong cost pressure, it is, however,  increasingly the case that fewer companies are in a position to permanently invest large sums in  the training and further training of their AI specialists," said Reinhart. 

"AI demands a different form of collaboration between the economy and industry and a culture of  sharing. In this respect, we should follow the lead set by countries such as the USA and China. In  those countries, for example, companies provide data so that science can develop and validate AI  programs and algorithms based on that data," continued Reinhart. 

Science needs access to real data 

Kristian Kersting, professor of artificial intelligence and machine learning at the Technical  University of Darmstadt and codirector of the Hessian Center for AI, supports this approach but  also criticizes the lack of an AI culture in the economy: "Companies are ‘somehow' relying on AI  without understanding how it works at its core. Everybody involved must converge and jointly drive  development," said Kersting. For him, it is not only better collaboration between universities and  the economy that counts in order to test scientific projects and models in practice. "It is equally  important for universities and research institutes to have better access to real data and for there to  be greater connectivity of scientific institutes and institutions among each other in the area of AI,  according to Kersting. "However, the state must also contribute its share and support the AI  departments and AI institutes with higher budgets so that they can improve and expand their IT  infrastructure, for example." 

Continental as a pioneer in AI qualification 

Continental runs its own software academy in order to train AI specialists in practice-oriented  aspects and to continuously keep their qualifications up to date. Using this internal platform, the  company provides training as well as in-house courses and seminars, but also ‘tech talks' with  speakers from renowned universities. "Particularly in the area of AI, qualification is the decisive  factor so as not to fall behind technologically and to be attractive as an employer," said Reinhart.  "Through our commitment and our initiatives, we are showing that German companies are not just  in a position to win over AI specialists in sufficient numbers but are also able to keep them in  Germany with attractive tasks. This concept from Continental can be a model for other companies." 

 

 

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