Below you can find an abridged version of the interview with the ATZ (automotive technology magazine) ATZ:
Big data and artificial intelligence techniques will not necessarily save the car industry from the next recession, whenever it occurs.
Rather, it will be possible to secure profitability and competitiveness in the medium and long term. I would by no means limit this assessment to the automotive industry, but rather apply it to all sectors to varying degrees.
No. This assessment is shared without exception by all well-known management consultancies and economic research institutes and is also expressed in national AI strategies, whether they were developed in the People's Republic of China or Canada.
First of all, it helps to see Big Data and AI not as a trend, but as the new status quo that can be taken for granted just as much as lightweight construction or electric drives, for example. Nobody will question the importance of these two technologies - and the same applies to big data and artificial intelligence.
You should start to develop and implement strategies for data-driven business models well in advance. Companies need to realize that this is a result of the increasing digitalization of the world of work, where fundamental advances in IT are the drivers.
Quite simply: Initially you have to look at the underlying problem - be it a business process or a product and/or service improvement.
Always keep in mind: Artificial Intelligence is a technology and not a panacea. Its use is not an end in itself but must be targeted.
In the DACH region we unfortunately have a very underdeveloped self-confidence when it comes to digital topics. That, for example, with Sepp Hochreiter, the inventor of the AI architecture behind Siri and Alexa, and Sebastian Thrun, the pioneer of self-propelled cars, two of the most important players in modern AI are Germans, is only known to a tiny proportion of the population in this country.
The fact that these are by no means pleasant statistical outliers can also be proven by scientific publications, where Europe is still ahead. To a certain extent, the starting situation when it comes to the future of mobility is exactly the other way round than in the B2C sector: Europe, and Germany in particular, has by far the best base of companies and supply chains, which represent the ideal breeding ground for big data and AI.
Full interview at Springer Link (paywall): Link
Photos & Text by Clemens Wasner, EnliteAI.
We have been invited to present our 3rd place winning solution for the Learning to Run a Power Network Challenge 2021- Towards a Machine Learning Based Control Center Digital Assistant.
Matthias Dorfer (Head of AI at enliteAI) was invited to present our geospatial data platform Detekt to the Austrian Society for Surveying and Geoinformation.