he admits . “ We ’ re constantly looking at how we can get the data to be available for these advanced intelligent applications and is why we decided to build a Stora Enso IIoT ( Industrial Internet of Things ) cloud-based platform . We are using a lot of resources to organise the data in the cloud so that we can have this integrated data asset in use by these applications that we are building in collaboration with different vendors .”
When Stora Enso needs to communicate across operations in real-time this is achieved by the close proximity of its digital tools to the production line . Now , Yli-Pietilä is keen to take things a step further . “ We want to predict what will happen in the future , and we also want to prescribe . We ’ re trying to do prescriptive analytics , not just to tell users what will happen in the future , but also advise them what they need to do to perform in their work in the best possible way . We ’ re building prescriptive analytics solutions using AI and ML , because then you ’ re not actually in real-time — you ’ re in the future .”
Stora Enso already has AI-based applications in use that can see 12 hours into the future with good
“ SEEDS is a publicly available set of instructions and code which enables designers and developers to build a user experience aligned with Stora Enso requirements ”
— Marko Yli-Pietilä , Head of Smart Operations , Stora Enso reliability . “ We want to be able to advise people to take actions to make the future look like we want it to look , with product quality , machine performance , and the reliability of equipment related to the maintenance ,” confirms Yli-Pietilä . “ How we measure the success and performance of these tools is actually through the business KPIs that we use to measure our operational efficiency in general . We start following up those business KPIs , so that our digital
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