AI can accumulate and sift through , the more accurate it is as a tool .
You could even say that AI turns data analytics into high art .
At the Boston , MA-based digital transformation consultancy Publicis Sapient , they track these changes and advise companies on how best to adapt . Joseph Tabita , the company ’ s Senior Vice President on energy and commodities , spoke to us about the possibilities embedded in AI data monitoring . It can , he says , “ drive pattern recognition and innovation in a way that traditional data analytics cannot emulate .”
“ These can be smaller use cases such as predicting consumer consumption based on smart metre data , spending patterns and other demographics , to complex multivariable optimisation of complex farm to fork , or well to pump supply chains . Companies like Microsoft and Google are already providing elements of this architecture for companies to build on top of .”
But as the pace of carbon data analytics grows and becomes widely available , it can be difficult to keep up and sift through what is accurate data and what is not . With so much riding on data for green transition , measures must be taken to ensure that it is on point .
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