AI DIFFERENTIATORS :
ML DIFFERENTIATORS :
TRENDING APPLICATIONS WITHIN SUPPLY CHAINS
TECHNOLOGY
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“ The logistics sector of tomorrow may hinge on companies ’ ability to strike a fluid humanrobot balance ”
— Alec McPherson , Director at Manhattan Associates .
AI DIFFERENTIATORS :
1 . It is programmed to enhance successful outcomes , although this does not necessarily mean a focus on accuracy .
2 . The software is sophisticated and can carry out more complex or ‘ smart ’ tasks .
3 . AI is capable of actively making decisions .
4 . AI will search for the best solution possible .
ML – By comparison , ML ’ s functions are relatively simpler and less proactive than AI . Programmed with an algorithm designed to optimise an input-output pathway through experiential trial and error , ML is useful for drawing inferences from large pools of data which would be unmanageable if analysed manually .
ML DIFFERENTIATORS :
1 . Its aim is to streamline the accuracy of a process pathway through a self-improving algorithm .
2 . ML conducts prescriptive tasks and will not deviate . 3 . ML unlocks the value of ‘ dark data ’. 4 . The ML process will determine what the patterns in data indicate , although this will not necessarily be inherently useful or valuable .
TRENDING APPLICATIONS WITHIN SUPPLY CHAINS
Some of the popular uses for automation and unlocking value via analytics in supply chains include :
Planning and forecasting – With supply chains incorporating more endto-end digital technology , companies are now able to take a holistic view of processes via collected data . ML algorithms can be programmed to analyse statistics , factor in historical and environmental information and then produce insights into patterns or trends .
JULY 2020