Energy Magazine October 2022 | Page 59

SHELL
perspective , contracts are integrated and to a degree , automated . From an Artificial Intelligence ( AI ) perspective , however , most of the technology that I see is quite limited , and still needs a lot of human intervention .
“ AI , no doubt , is able to perform numerous activities , but in reality for many applications it only has around a 60-70 % accuracy rate , which means that you still need to have a person double-checking its work , which kind of defeats the purpose .”
He adds : “ Truth be told , when people talk about Machine Learning , it ' s really about training the algorithm . We train the algorithm what is and what is not permitted , by embedding that training ( or that learning ) into our regular workflows .”

“ THE ABILITY TO IDENTIFY VIABLE ORGANISATIONS – THAT IS , WHO FROM A RISK AND ESG PERSPECTIVE WE WANT AND DO NOT WANT TO DO BUSINESS WITH – IS BECOMING INCREASINGLY IMPORTANT , AND I THINK THIS TREND WILL CONTINUE TO GROW ”

SANDER VOORN S2C DIGITAL & PROCESS TRANSFORMATION DESIGN MANAGER , SHELL
How AI can help to drive creativity and ethical standards The AI aspect of Shell ’ s procurement systems is not only able to improve costeffectiveness and operational efficiency , but is also able to free up staff from certain laborious and time-consuming tasks , enabling them to work more creatively , as well as having an impact on ethical procurement .
“ If you look at our strategy at Shell ‘ Powering Progress ’,” says Voorn . “ It consists of a number of elements , a key one being ‘ Powering Lives ’. This means that Shell is concerned with supporting inclusive societies , but it also means making sure that we only ever do business with ethical suppliers , and also that there is supplierdiversity , where we do a lot of supplier development which can take time .
“ So , thanks to the AI and automation process , we can free up staff to spend more time finding potentially viable suppliers and to look at how Shell can help these suppliers reduce their own carbon footprint .”
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