“ IoT data capture is very nice , but this doesn ' t bring you value . It only brings you value if you start analysing this data and making smarter decisions ” we are continuously harnessing innovation . One example is BlueChem , an incubator in the chemical industry based in Belgium ; another is Aerospace Valley in France . " We are looking at how we support these companies with our technology in the first phase of their journey going from a startup to a scaleup . Having these dedicated partnerships also enables us to provide end-to-end solutions to our clients ."
SAS
“ IoT data capture is very nice , but this doesn ' t bring you value . It only brings you value if you start analysing this data and making smarter decisions ” we are continuously harnessing innovation . One example is BlueChem , an incubator in the chemical industry based in Belgium ; another is Aerospace Valley in France . " We are looking at how we support these companies with our technology in the first phase of their journey going from a startup to a scaleup . Having these dedicated partnerships also enables us to provide end-to-end solutions to our clients ."
“ In the next few years ”, Van Horenbeek says , “ manufacturing businesses need to move from testing new technologies to using them at scale within their organisations . To transform their way of working and putting analytics and AI in action is key . It will give them a significant competitive advantage .
" There is a discrepancy today between companies using data effectively compared to companies that haven ' t started yet , and this will only get bigger . I strongly believe that the companies that are not adopting digital transformation and analytics will decline and may even go out of business in the coming years . It ' s a matter of survival . We saw this with COVID-19 , when many companies were not digitally transformed or making use of data , got hit much harder than others . COVID-19 was a bit of a stress test in that respect , clearly showing that companies need to invest more in these technologies ." AI and machine learning are not new technologies , but today experiments often remain a proof of concept . “ The time for experimenting with AI is over . It is time to democratize AI , make the technology widely available on an integrated platform and incorporate techniques into day-to-day operational processes for value .”
ADRIAAN VAN HORENBEEK MANUFACTURING LEAD ADVISORY WESTERN EUROPE , SAS businesschief . eu 235