AI series: don't be fooled by serious-seeming people with serious-seeming plans
The third in our series on AI in logistics examines the need for the human ...
GM: RAISING THE ROOF GGM: IN FULL THROTTLE GZIM: MAERSK BOOST KNIN: READ-ACROSSMAERSK: NOT ENOUGHMAERSK: GUIDANCE UPGRADEZIM: ROLLERCOASTERCAT: HEAVY DUTYMAERSK: CATCHING UP PG: DESTOCKING PATTERNSPG: HEALTH CHECKWTC: THE FALLGXO: DEFENSIVE FWRD: RALLYING ON TAKEOVER TALKODFL: STEADY YIELDVW: NEW MODEL NEEDEDWTC: TAKING PROFIT
GM: RAISING THE ROOF GGM: IN FULL THROTTLE GZIM: MAERSK BOOST KNIN: READ-ACROSSMAERSK: NOT ENOUGHMAERSK: GUIDANCE UPGRADEZIM: ROLLERCOASTERCAT: HEAVY DUTYMAERSK: CATCHING UP PG: DESTOCKING PATTERNSPG: HEALTH CHECKWTC: THE FALLGXO: DEFENSIVE FWRD: RALLYING ON TAKEOVER TALKODFL: STEADY YIELDVW: NEW MODEL NEEDEDWTC: TAKING PROFIT
Logistics operators may need to consider Asimov’s three laws of robotics in the near future, as machine-learning becomes increasingly used. This piece from Raconteur suggests companies are already turning to cognitive supply chains. From Maersk to GSK, Jaguar Land Rover and Tesco, there has been more and more deployment of distribution and inventory management systems that are self-learning, predictive, adaptive and intelligent – what this report describes as “cognitive”. From running “what if” scenarios to tailoring solutions, AI is seen as a massive benefit and, it appears, at a smaller cost than expected.
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