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You’re doing cloud-based AI and machine learning wrong

February 5, 2021

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Rackspace Technology just announced the results of a global survey that reveals that the majority of organizations lack the internal resources to support critical AI and machine learning initiatives. Indeed, 34% of respondents reported artificial intelligence projects that failed.

The larger issue is the misapplication of AI and ML for applications where these particular technologies are contraindicated. This has been a problem since the advent of neural networks and AI, which is much longer than you think.

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