TECH & AI
“LARGE LANGUAGE MODELS ( LLM ) HAVE REVOLUTIONISED HOW WE APPROACH THIS ”
ELISABETH GOOS MARKET LEADER OF SUSTAINABILITY SERVICES FOR EMEA & DACH COUNTRIES , IBM
a long-term pain point and Gen AI will be instrumental in reshaping this narrative .
“ Inadequate and manually processed data has long been recognised as a key barrier to effective sustainability strategies . Not only are companies faced with the enormous task of collecting all the necessary data across their functions and supply chains to accurately measure their impact , but this data is often heterogeneous and historic ,” says Goos . “ According to IBM research , 41 % of executives cite inadequate data as the top barrier holding back ESG progress .”
Organisations are abundant with data , which could present them with long-term insights from years of operation . This is likely where they will find traces of environmental impact , such as emissions , energy consumption , and other measurable units , allowing them to benchmark their sustainability against a history of commercial action .
As large language models ( LLMs ) emerge , data processing can become a function that works in the background of business-critical planning and activities .
“ Large Language Models have revolutionised how we approach this , creating models that can analyse data in all its forms whilst factoring in reallife shifts such as weather patterns or market trends . These models can then be used to drive insights across a wealth of areas , such as minimising waste , reducing energy usage , and optimising production ,” Goos explains .
Automating the road to sustainability Automating systems is but one approach to the overall strategy and is one that will get the ball rolling in the right direction . To avoid complacency – ie expecting AI to be the silver bullet – organisations should understand how it works and the value it provides as a tool for progress . Goos reiterates this , expressing the need
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