Google Cloud survey: legacy software delays enterprise AI projects
Overview
Google Cloud and Hypothesis Group surveyed 1,250 U.S. enterprise IT and business decision-makers.
Google Cloud reports that 49% of respondents say reliance on on-premises software has delayed, reduced, paused or canceled AI or other technology initiatives.
Respondents also cite routine patching as an operational bottleneck, and 39% say vendor lock-in limits their licensing and contract flexibility.
Written by AI from the articles below · updated Nov 9, 12:42 PM ET
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- Google Cloud · AI & Machine LearningOfficialGoogle Cloud survey finds legacy software delays enterprise AI projects
AIGoogle Cloud and Hypothesis Group surveyed 1,250 U.S. enterprise IT and business decision-makers and found that 49% say reliance on on-premises software has delayed, reduced, paused or canceled AI or other technology initiatives. Respondents also cite routine patching as an operational bottleneck and report that vendor lock-in limits licensing and contract flexibility for 39%.
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