Operationalizing AI can unblock today’s manufacturing bottlenecks
Process Engineers want to improve productivity, quality and efficiency. However, they lack the tools to do so.
Today’s ML platforms do not solve engineering problems, and most ML projects are piloted but lack the technology scalability to be operationalized.
As a result, process knowledge is locked away in spreadsheets and the minds of engineers.