Californian ports join forces to push data flow between stakeholders
The five largest ports in California have teamed up to open data silos to enable ...
AMZN: APPEAL UPDATEDSV: PRESSURE BUILDS AAPL: OPENAI FUNDING INTERESTCHRW: ANOTHER INSIDER CASHES INHLAG: GRI DISCLOSUREMAERSK: HOVERING AROUND FOUR-MONTH LOWSTSLA: CHINA COMPETITIONDHL: BOLT-ON DEAL TALKAMZN: NEW ZEALAND PROJECTDHL: SURCHARGE RISKKNIN: LEGAL RISKF: 'DEI' HURDLESPLD: RATING UPDATEXOM: DISPOSALS
AMZN: APPEAL UPDATEDSV: PRESSURE BUILDS AAPL: OPENAI FUNDING INTERESTCHRW: ANOTHER INSIDER CASHES INHLAG: GRI DISCLOSUREMAERSK: HOVERING AROUND FOUR-MONTH LOWSTSLA: CHINA COMPETITIONDHL: BOLT-ON DEAL TALKAMZN: NEW ZEALAND PROJECTDHL: SURCHARGE RISKKNIN: LEGAL RISKF: 'DEI' HURDLESPLD: RATING UPDATEXOM: DISPOSALS
The future may be bright (the future may even be orange); but getting there is not as easy as it sounds. While tech-heads talk about the Internet of Things (IoT) and ‘Big Data’, and their potential to revolutionise the way the world works, and one which will be supported by supply chains, there is still a tremendous amount of work to be done. “The lack of common standards and a frustrating skills gap means implementing these dreamy space-age solutions is not going to be normalised for some years to come.” A realist’s guide to the next few years in logistics from Dataconomy.
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