Leveraging AI from cloud to edge for retail and manufacturing

Channel:
United States Google Cloud
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296,000
Published on ● Video Link: https://www.youtube.com/watch?v=jllOdt8CmYw


Duration: 0:00
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Building, deploying, and scaling software for thousands of clusters and locations can be challenging. Managing edge configurations to support use cases like store analytics, fast check-out, and predictive analytics adds to the complexity.

Join Nishant Kohli, Outbound Product Manager for Google Distributed Cloud, to learn how to use desired and declarative state configuration to manage clusters at locations remotely where the internet can be intermittent and physical access is hours or days away. Then, get three techniques to manage the scale of thousands of remote endpoints and best practices using the latest in AI, open source, and distributed cloud to bring the store of the future to your customers today.

Watch the video now and visit our website to learn more about Google Distributed Cloud → https://goo.gle/4aUy5sM



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