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 study uncover widespread artificial intelligence


Study uncovers widespread artificial intelligence and machine learning knowledge gap

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The majority of organisations globally lack the internal resources to support critical artificial intelligence and machine learning initiatives, according to a new study from Rackspace Technology. The survey, Are Organisations Succeeding at AI and Machine Learning? "This study shines a light on the struggle to balance the potential benefits of AI and ML against the ongoing challenges of getting AI/ML initiatives off the ground," Rackspace says. "While some early adopters are already seeing the benefits of these technologies, others are still trying to navigate common pain points such as lack of internal knowledge, outdated technology stacks, poor data quality or the inability to measure ROI." Participants of the survey in the APJ region rated themselves slightly higher at 18% compared to global statistics a 17% for advanced maturity in AI/ML). APJ participants were more likely to be using AI/ML in more applications and use cases, and are spending significantly more on average than global participants ($1.3 million vs $1.06 million).