{"id":57502,"date":"2026-11-09T12:35:33","date_gmt":"2026-11-09T11:35:33","guid":{"rendered":"https:\/\/www.swecobelgium.be\/?post_type=blog&p=57502"},"modified":"2026-11-09T12:35:34","modified_gmt":"2026-11-09T11:35:34","slug":"ai-in-engineering-turning-data-and-expertise-into-business-value","status":"publish","type":"blog","link":"https:\/\/www.swecobelgium.be\/en\/news\/ai-in-engineering-turning-data-and-expertise-into-business-value\/","title":{"rendered":"AI in engineering: turning data and expertise into business value"},"content":{"rendered":"
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Artificial intelligence can help industrial organisations optimise engineering processes, improve asset management<\/a> and make better-informed decisions. Real business value emerges when AI technology is connected to reliable data and engineering expertise. At AIMET 2026, an event organised by FMV, Joren Lambrecht, Team Manager and Innovation Manager at Sweco, explored how AI, data and digital technologies can transform industrial processes. His message: start with engineering and operational needs, not technology alone.<\/strong><\/p>\n\t\t<\/div>\n\t<\/div>\n<\/div>\n<\/section>\n\n\n

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AI in engineering: start with the operational challenge<\/h2>\n

From automating repetitive tasks to improving operational decision-making, AI offers opportunities across the industrial sector. But adopting new tools does not automatically improve results. The challenge is identifying where they can make a meaningful difference within existing engineering processes.<\/p>\n

At Sweco, we approach digital transformation<\/a> from three complementary perspectives:<\/p>\n