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The AI wave was initially widely viewed as a new opportunity for model developers, but recent financial reports show that a number of large European mature technology groups are bucking the trend and becoming actual beneficiaries of artificial intelligence dividends. From SAP, Capgemini, Sopra Steria to OVHcloud, many European tech giants have reported stronger demand, faster growth, or higher performance guidelines. The common driving force behind this is that companies are moving from AI testing to full deployment. However, these companies have also discovered that it is far more difficult for AI to actually produce productivity within complex organizations than to acquire the technology itself. Large organizations are unlikely to rely on a single AI vendor and will choose different models based on task attributes, performance, security levels, and compliance requirements. The challenge now is no longer “which model to choose,” but how to make AI work smoothly with the organization's existing software, data, and business processes.
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The AI wave was initially widely viewed as a new opportunity for model developers, but recent financial reports show that a number of large European mature technology groups are bucking the trend and becoming actual beneficiaries of artificial intelligence dividends. From SAP, Capgemini, Sopra Steria to OVHcloud, many European tech giants have reported stronger demand, faster growth, or higher performance guidelines. The common driving force behind this is that companies are moving from AI testing to full deployment. However, these companies have also discovered that it is far more difficult for AI to actually produce productivity within complex organizations than to acquire the technology itself. Large organizations are unlikely to rely on a single AI vendor and will choose different models based on task attributes, performance, security levels, and compliance requirements. The challenge now is no longer “which model to choose,” but how to make AI work smoothly with the organization's existing software, data, and business processes.
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