From pothole detection to X-ray image analysis: What AI can do in practice
- Bitkom publishes guideline "Concrete use cases of artificial intelligence & big data in industry".
- Big-Data.AI Summit will take place on 1 and 2 April in Berlin
Everyone is talking about artificial intelligence and data analysis - but many companies lack ideas on how to use the technologies. The digital association Bitkom has therefore compiled twelve concrete application examples for AI and Big-Data in industry in a guide that has now been published. These were presented last year at Bitkom's Big-Data.AI Summit. "The public debate about AI and Big Data is far too often dominated by science fiction scenarios that have little relevance for the day-to-day business of companies," says Nabil Alsabah, Head of Artificial Intelligence and Big-Data.AI Summit at Bitkom. "The guide brings together examples from very different industries that show how these innovative technologies can be used to improve results or reduce resource consumption in a very concrete way".
The guide "Concrete use cases of AI & Big Data in industry" presents in twelve chapters, among other things, how vehicle data can be used to provide a risk assessment for individual driving behaviour, but also to mark potholes on a map and thus improve road quality. In another mobility application, anonymous smartphone data is used to create movement patterns in order to determine ideal locations for Car-Sharing stations or e-car charging stations.
Further possible applications for AI arise in medicine. The guide shows how artificial intelligence can be used in orthodontics for so-called cephalometry. This is mandatory before any orthodontic treatment, such as braces. A lateral X-ray image must be evaluated very schematically, which takes about 10 to 15 minutes. Thanks to AI, the image analysis can be completed in less than a second - with about 10 million cephalometries per year worldwide, huge increases in efficiency are possible. But data analysis and AI can also help in oncology: From early cancer detection, where even the smallest changes are detected on X-rays and CT images, to perfect individualized therapy based on the latest guidelines.
The guide also covers other practical examples such as setting up a price engine for a car spare parts dealer, forecasting passenger flows at train stations, and using AI and data analysis in a more conservative and less technology-oriented sector such as the steel industry.
The guide "Concrete use cases of Artificial Intelligence & Big Data in industry" is available for free download here.