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The AI backlash couldn't have come at a better time
Developers are tired of hearing about AI as a panacea. The backlash may be just what organizations need to effectively implement the technology.
For example, when I Googled “When will AI become sentient?” (and “When did Skynet become self-aware,” for comparison purposes), I didn’t have to comb through results one at a time but instead read the AI-generated summary of the most relevant content at the top, with sources. Organizations already have container infrastructure like registry servers, CI/CD testing, and production tools like Kubernetes, with key capabilities like scalability, security, and Linux optimizations for running predictive and generative AI workloads. The selection is wide-ranging, from technology deep dives to case studies to expert opinion, but also subjective, based on our judgment of which topics and treatments will best serve InfoWorld’s technically sophisticated audience.
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