AI series: Be careful, or your AI might hallucinate
The final article in our series on AI in logistics examines how companies can avoid ...
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
Adopting new technologies can be a daunting task, particularly in business. With the promise of AI becoming a reality, more than a quarter of logistics businesses have started initiatives to implement the tech. But for some, especially smaller operators, knowing how to get started can be the most intimidating prospect. Fortunately, Venture Beat has put together a succinct guide on how, where, and why to utilise artificial intelligence.
Freight rates will stay high next year – no respite for shippers, predicts Drewry
Rates still slipping as peak season recedes and port strike threat subsides
More cargo chaos at Chittagong Port as transport operators strike
A Trump presidency would put pressure on ocean rates and Asian exports
DP World buys 47,000 teu of containers to boost 'end-to-end' ambitions
Europe's logistics operators tighten security after alert by UK counter-terror services
Trump tariff threat and China downturn will make CNY 2025 'different'
Air cargo market enjoys some calm before an expected Q4 storm
Comment on this article
Dmitry Gorshkov
March 26, 2018 at 2:22 pmLooks like some content is missing here.
Alex Lennane
March 26, 2018 at 2:27 pmSorry – we have now updated it with the link.