Cloud Computing

Cloud tech enables powerful solutions without big hardware.

Cloud computing allows complex solutions to run on simple devices by offloading processing to remote servers. This is critical in healthcare, where many facilities lack the infrastructure for local servers. With only internet access and basic hardware, providers can use advanced diagnostic tools or analytics, just like gamers stream high-end games from the cloud.

Pros and Cons Table
Pros Cons
Enables AI use in low-resource settings Relies heavily on internet connectivity
Reduces local infrastructure needs Raises cybersecurity and privacy concerns
Supports real-time, large-scale analytics Data governance varies by region
Scalable across systems and geographies Cost of ongoing cloud services can add up
Speeds up software deployment and updates Latency can affect time-critical tasks

Cloud computing shifts data storage and processing from local to remote servers. In healthcare, this enables AI tools to operate on minimal devices, even tablets or smartphones, by connecting to the cloud. To adopt cloud computing, teams should identify AI or data-intensive tasks, choose secure cloud platforms, ensure regulatory compliance, and integrate applications via APIs or web services. Training staff on secure use is also essential.

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