DEFINING AI AND ML
TECHNOLOGY
Since the COVID-19 pandemic has illustrated the need for further automation of supply chains , what role will AI and ML play in the transformation ?
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T he effect of the COVID-19 pandemic in relation to supply chains can be measured by an accelerated interest in automation , particularly with regard to AI ( artificial intelligence ) and ML ( machine learning ). The current fragility of global supply chains , the necessity for end-to-end transparency and the availability of digital technology to rectify the situation has created an exciting surge of companies exploring new applications and possibilities . With chatbots for customer enquiries , ML-powered analytic for planning and forecasting , self-driving vehicles and software to target and streamline chain inefficiencies prevailing as trending utilisations of automation technology , the logistics sector of tomorrow may hinge on companies ’ ability to strike a fluid human-robot balance .
DEFINING AI AND ML
Despite operating along similar principles , both AI and ML have distinct functions which differentiate and are specialised for certain tasks :
JULY 2020