{"id":217878,"date":"2025-05-15T19:59:00","date_gmt":"2025-05-15T09:59:00","guid":{"rendered":"https:\/\/www.railfreight.com\/?p=62475"},"modified":"2025-05-15T19:59:00","modified_gmt":"2025-05-15T09:59:00","slug":"operational-intelligence-in-logistics-is-europes-main-driver-in-developing-an-ai-strategy-says-inform-ceo","status":"publish","type":"post","link":"https:\/\/www.vibewire.com.au\/?p=217878","title":{"rendered":"\u2018Operational intelligence in logistics is Europe\u2019s main driver in developing an AI strategy,\u2019 says INFORM CEO"},"content":{"rendered":"

Europe risks being a “passive observer” in the global artificial intelligence race, lagging behind the massive AI model training in the U.S. and China’s strategic industrial policy focus. However, Dr. J\u00f6rg Herbers, CEO of Aachen-based INFORM Gmbh, argues it is “high time we take a different path”. Europe, particularly Germany, is “ideally placed to pursue an independent, competitive AI strategy”, leveraging its industrial foundation, research, and operational use cases.<\/strong>
\n<\/span>Herbers shared his insights during the AI week in Aachen, Germany. He underlined that “AI made in Europe” must not be a defensive slogan for regulation or ethical differentiation. Instead, it should represent technological self-assertion.<\/p>\n

\u201cThe goal is not taming technology or AI criticism but making AI productive and building AI competence. This means translating Europe’s economic strength, industrial DNA, and logistical excellence into scalable, market-ready AI systems built in Europe, for Europe, and the global market,\u201d he explained.<\/p>\n

Supply chain knowledge greatest EU asset<\/h2>\n

Herbers highlighted that the operational intelligence of the European industry does not lie in Californian data centres, but “on the shop floor, in complex supply chains, in multimodal hubs”. According to him, this is precisely where the proposed “AI made in Europe” should focus: not as a playground for generative text models, but as a tactical brain of process control and a decision-support system that translates operational complexity into manageable processes.<\/p>\n

\u201cDecisive steps are needed from politicians, industry, and companies. Businesses must bring operational AI to the ground – into factories, logistics hubs, and decision-making centres”, he emphasised.<\/p>\n