While the last five years have seen computing move from local networks to the cloud, especially in healthcare, the trend of edge computing is seeing organizations move back to move forward: Moving key computing and intelligence back to the point of care while still retaining the benefits of cloud computing. This not only reduces latency, which can be especially important for healthcare, but also has important implications for privacy and security.

On today's episode, we welcome NIST Fellow Tao Zhang to give us a primer on edge computing, and explain what it can do for healthcare organizations.

This podcast is brought to you by Aruba Networks.

Talking points:

What is edge computing and why is it gaining traction now?
Striking the balance between the edge and the cloud
The history of edge computing
Why the healthcare space is turning to edge computing
Security implications of edge computing for IoT
Downsides to edge computing
More edge computing use cases
Tips for adopting edge computing
What next for edge computing: edge and AI

More about this episode:

NIST Resources

Hospitals embracing IoT must be prepared to secure a decentralized environment

Striking a balance between medical device security and innovation

GE Healthcare unveils new edge computing tools for clinicians

Nvidia launches AI edge computing platform

Tech Optimization: Medical device and IoT operating secrets

How Vail Health ensures consistent medical device security and firmware patching

Edge Computing 101 — with Tao Zhang

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