From days to seconds: agents in pharma supply chain | Nipun Sibal, AWS

40 pallets leave Mumbai for Edison, New Jersey. The port is closed. Find the cheapest way to keep Edison supplied. Nipun Sibal, who leads global life sciences manufacturing and supply chain at AWS, runs the scenario twice — once the way it happens today, once through agents — then explains why most pharma AI projects fail before they get there.Recorded at the Digital Cold Chain Forum in Copenhagen. This session covers:Why contextualised data, not data access, is now the bottleneckThe four levels of agent autonomy — and where pharma stopsThe supply chain analyst becoming a supply chain controllerHow Amazon picks a fulfilment centre in 11 seconds, no human involved🎧 Listen to the 𝗖𝗼𝗻𝗻𝗲𝗰𝘁𝗲𝗱 𝗖𝗼𝗹𝗱 𝗖𝗵𝗮𝗶𝗻 𝗣𝗼𝗱𝗰𝗮𝘀𝘁 on: https://youtu.be/vOxXku_2YB4