talks future trends in cloud computing
summary
Claims that cloud AI/ML now automates resource management and predicts peak usage to auto-scale, that edge for autonomous vehicles and industrial automation cuts latency by moving inference to devices, that serverless cuts cold starts and now supports more runtimes, and that Kubernetes adds multicloud support plus runtime security and self‑healing for large ML pipelines. Security shifts to AI-driven threat detection and zero‑trust with microsegmentation, and cost wins come from right‑sizing, autoscaling, and 1–3 year reserved instance savings.
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chapters (7)
- 0:00Future cloud trends
- 2:38AI and ML in cloud
- 4:22Edge computing revolution
- 6:09Serverless and containers
- 11:11Cloud security advances
- 15:03Cloud economics
- 20:00Future outlook
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