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DTSTAMP:20260415T020302Z
DTSTART:20240919T171500Z
DTEND:20240919T183000Z
SUMMARY:Supply chain challenges of the 2020s: lessons learned and how wil
 l the metaverse/generative AI mitigate supply chain discontinuity
DESCRIPTION:The concluding session about supply chain challenges of the 2
 020s from Covid-19 to trade Wars to actual wars.\n\nThe increasing de-gl
 obalisation of international commerce has been accelerated due to a numb
 er of factors\, including the ongoing trade wars and the invasion of Ukr
 aine. The disruption of global supply chains – arising from factors such
  as the shortage of raw materials and commodities\, and also due to trad
 e barriers and restrictions to the movement of people – has caused infla
 tion and has impacted global businesses. Re-shoring\, nearshoring and fr
 iend shoring strategies have helped businesses to increase supply chain 
 resilience and optimise processes of manufacturing and distribution alon
 g the supply chain. Specific consideration will be given to industries m
 ore impacted by these important trends and the possible solutions will b
 e discussed by our expert panel.\n\nOne such solution is the impact of n
 ew technology\, such as generative artificial intelligence (AI) technolo
 gy. In the next few years\, the potential of generative AI could boost t
 he operating profits of many industries\, including the apparel\, fashio
 n and luxury sectors\, as well as global manufacturers. The deep-learnin
 g models are developed on vast\, unstructured data sets that application
 s can use to handle numerous complex tasks.\n\nThe ‘chat’ function of th
 ese generative AI tools can help\, for instance\, a biotech company ask 
 questions that help it with demand forecasting. By doing so\, the compan
 y can run ‘what-if’ scenarios on getting specific chemicals for the prod
 ucts or for what might happen if certain global shocks or other events o
 ccur that change or disrupt daily operations.\n\nRisk management may be 
 the most promising area\, particularly in preparing for risks that suppl
 y chain planners haven’t considered.\n\nIncorporating generative AI into
  companies’ supply chain forecasting\, production planning and risk mana
 gement will result in optimisation of the production systems.\n\nOur pan
 el will examine the legal challenges arising\, and share their views on 
 how generative AI can possibly resolve or mitigate the supply chain chal
 lenges of the early 2020s disruptors.\n
LOCATION:PALACIO DE CANAL 11\, LEVEL E1
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