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AMER
December 10, 2024
9 a.m. PT / 12 p.m. ET
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APAC
December 11, 2024
11 a.m. SGT
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EMEA
December 11, 2024
9 a.m. GMT / 10 a.m. CET
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Delivering AI at the edge can be a big challenge for developers, especially with mobile apps. Mobile users are constantly on the go, moving in and out of network coverage and making it nearly impossible to deliver a quality experience. The job is even tougher if your AI models and data processing are only accessible in the cloud via the internet. In this webcast, our VP of Engineering will show you how he developed an AI-powered image recognition demo app using Couchbase Mobile to overcome those common obstacles. As he demos the app, he’ll:
- Walk you through the code and discuss his choices
- Explain how our embedded database and automatic data sync deliver a seamless experience without relying on the internet
- Show how Couchbase makes it easy to integrate lightweight AI models that run locally on-device
- Share the GitHub repo so you can run the demo app on your own
