Hybrid computing systems in Industry 4.0

Automated Machine Learning (AutoML) has become a trending topic in the industry due to the implementation of numerous algorithms by groups dedicated to academic research on artificial intelligence (AI) in recent years. AutoML is a tool for streamlining the development of AI solutions in the industry by providing explainable and reproducible results in an automatic and simple way.

Imagine a sheet metal factory. Hundreds of processes are taking place at the same time and all of them generate (or can potentially generate) a huge amount of invaluable data. That data can be processed and fed into the data analysis pipelines that Lantek is developing to provide advanced services targeted at improving the efficiency and performance of factories. Some of those advanced services are already in the market, like Lantek Analytics. Soon that data will also feed machine learning algorithms that will revolutionize the way we work and interact with sheet metal software.

Established in 1996 in Shenzhen, South China, Han’s Laser Technology Industry Group Co., Ltd was successfully stock listed in 2004. By 2010, it had already grown into a big group of companies with 6000 employees and, by 2017, it had achieved more than 1.6 billion US dollars sales turnover. Lantek has been working with Han’s Laser for a considerable time and its nesting software has delivered significant savings in material usage for Han’s Laser’s customers.