SAS
INTRODUCTION
Now more than ever , manufacturers are looking for new ways to save energy . Optimising energy use was always important , now it is vital for the sustainability of the organisation . The pressure is on to do more with less , while also maintaining quality and yield .
Cost is just one significant factor . Energy prices surged 60 % in 2022 , sparked by supply chain disruption and geopolitical tensions , and while those highs have fallen slightly , prices remain higher and are only likely to increase .
The International Energy Agency ( IEA ) has stated that the current global energy crisis is of ‘ unprecedented depth and complexity ’.
Yet market rates for energy are only one ‘ cost ’ that CEOs , CFOs and COOs of manufacturing companies have to consider . Increased regulation around emissions , ESG requirements , public pressure , investor expectations – not to mention favourable financing available for ESG-compliant companies – all mean businesses have to do more to reduce the amount of energy that they use , and also switch to cleaner , more sustainable , energy sources .
This is a significant challenge , but also an opportunity .
In this White Paper , experts from SAS – a global leader in artificial intelligence ( AI ) and advanced analytics – share their insights and learnings from helping both process and discrete manufacturers globally to optimise their energy usage by implementing AI in a real world setting .
REPORT AUTHORS
ALEXANDER DÄHNE
TITLE : EMEA & AP MANUFACTURING LEADER COMPANY : SAS
KEVIN KALISH
TITLE : SENIOR MANAGER , INDUSTRY CONSULTING , IOT COMPANY : SAS MANFRED KÜGEL
TITLE : DATA SCIENTIST & INDUSTRY ADVISOR , IOT COMPANY : SAS
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