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.
AI on public clouds is just too easy and cheap not to leverage, so it’s being used with business applications where the process