Sylvain Duval
NORTH AMERICA “ Artificial intelligence and machine learning on their own are really just a process automation but it ’ s when you get into the prescriptive and predictive portions of the AI interface , and into deep learning in the machine learning portion of it , that you ’ re actually starting to enter a future state where you ’ re able to look at the variables without any human interface . The control tower will always be a piece of the puzzle though , because we need intuition built-in to some of these decisions . We need to regularly re-programme the artificial interface to ensure that the right things are being learnt by the machine and that the next decision that it makes will be correct .”
AI and ML , then , have the potential to make existing practice efficient , but even today supply chain is seen as a very linear , end-to-end process . SigmaPoint looked for a holistic model that would link each of the nodes direct to the digital core in real time . “ The linear model introduces latency as it moves from node to node ,” says Slaughter .
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EXECUTIVE PROFILE
Sylvain Duval
Sylvian has more than 27 years ’ experience in New Production Introduction in the high-tech sector . He worked for 10 years at Nortel Networks as Test Engineering Director and Senior Product Line Manager . He then followed an entrepreneurship career path working as Test Engineering Director for Ceyba ( Ultra Long Haul Optical networking startup ) in early 2000 , co funding his own startup Daito Test Services in 2003 and co-funding Jordale Technology in 2006 . Sylvain went back in the EMS world as Customer Service Director at Varitron before joining SigmaPoint . He holds a Bachelor Degree in Electrical Engineering and a Masters Degree in Concurrent Engineering from Sherbrooke University .
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