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There is a cost for not getting on a hype train. CEOs rather waste a couple of billion dollars on that machine learning/AI hype train, because if they don't hop
by raincom 6y ago
There is a cost for not getting on a hype train. CEOs rather waste a couple of billion dollars on that machine learning/AI hype train, because if they don't hop on that train, Wall street folks see these companies old-school, not innovating. So, they bring in Chief AI officer and write about about how machine learning gonna help their companies in the Quarterly reports. Even if they lose $2B in this AI venture, just treat as insurance premium to keep the stock price going up.
Same with all these technologies.
- dilandau 6y agoAI is cargo-culting from executives in publicly traded companies. Kubernetes is a grassroots phenomenon of developers experimenting with self-immolation while padding the resume. Major difference. Your example comes from the top. Kubernetes comes from the bottom, and is more insidious in my opinion.