Industrial artificial intelligence systems can significantly boost manufacturing efficiency, but their success depends on engineers’ trust in AI recommendations and the transparency of its decisions. Only when AI’s conclusions are clear, well-founded, and linked to operational data do these technologies become a true source of value for enterprises.
The shift of airlines to dynamic pricing and fragmented booking channels makes it more challenging for freight forwarders to calculate costs and find available cargo capacity. To operate efficiently, it is essential to integrate digital platforms and apply professional judgment when selecting the best solutions for clients.
Starting August 2, new transparency requirements for the use of AI will come into effect in the EU: mandatory labeling of AI-generated content, disclosure of deepfakes, and strict penalties for violations. Generative AI systems will have a transitional period until December 2026.
In logistics and supply chain management, the focus is shifting from transparency to the automation of processes using AI. New platforms now enable not only cargo tracking but also automatic booking of shipments, inventory and document management, which significantly increases efficiency and reduces costs.
Apple is in talks with South Korean manufacturers to introduce new transparent electrodes for the development of advanced OLED displays with curved edges on all four sides, planned for the 2028 iPhone. Key suppliers are already investing in this technology to ensure mass production by the target date.
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