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In the case of logistics, experts say AI risks becoming another “blockchain,” magic dust for shareholders with little practical application in the near term.
In a broader cryptocurrency version “Pump and Dump” In a miniature ecosystem, at the height of the hype, investors were misled by marketing materials claiming companies were “doing something with blockchain,” but its actual uses were largely unspecified. was not This has resulted in huge investments without companies having to stick to their claims.
“A child born out of the blockchain hype seen five years ago” – says Lars Jensen of Vespucci Maritime – Maersk’s TradeLens, an attempt to seriously implement a blockchain-based network, folded last year. TradeLens had acquired a number of high-profile ‘trust anchors’ and ‘foundation carriers’, companies co-signing on technology with virtually no investment. However, very few people actually signed up as customers.
“For ECMR[electronic bill of lading]electronic bills of lading for containers, proof of delivery, blockchain makes sense in that context,” said Cargo Stream Chief Operating Officer Sarnas Velikas. roadster. “but [TradeLens] Too advanced and didn’t solve any real problems. Given that SMEs make up 98% of the logistics sector, we can’t begin to understand what logistics professionals should do in that light. “
companies triple the stock price By pledging to do something with AI, it looks like we are on the brink of yet another “blockchain.” “I don’t think we have learned a lesson from blockchain,” Verikas said. “Now we see evidence that investors are pouring money into anything they call ‘AI’.
“These are neural networks trained on datasets, a technology that has existed for some time. But it is also a technology that is even more difficult to understand. [than blockchain]. Investors will be attracted to this. “
scammers are already Sales of AI utilization courses – Similar to a $1,000 tutorial on how to use Google. Nonsense claims abound about what the technology can do, including claims that ChatGPT can start and run entire businesses without human intervention.
These claims obscure the limited but very real utility behind the hype, Velikas explained. “You can’t go to step B without using step A, a TMS, and using AI to book transportation via email.
“But there are use cases. For example, it could improve visibility,” he said. “People will probably not have to scroll through all the orders to see them. AI can do this if, for example, the ETA of a package increases. That is the dramatic case. If so, the AI can identify this and bring it to the user’s attention, or ignore it if it’s not a serious concern.”
Another example is communication. “Maybe not all bills of lading need to be filled out manually. AI might be able to do that. We plan to leverage AI for communication.”
roadster This article was run through ChatGPT, a language model developed by OpenAI. As an editor, I was directed to correct mistakes and found 10 serious grammatical errors, none of which were in the original text. ChatGPT was very polite about this point.
“We apologize for the confusion and inconvenience,” the chatbot replied. “As an AI language model, it should have been able to accurately identify errors in the given text. I reviewed the given text again and found no spelling or grammatical errors in the provided text.”
I wish all editors were this generous.
