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Technical.

HomecategoryTechnicalPage 11
WebRTC A Standard, a Technology, and a Developer Ecosystem
July 11, 2024
Hector ZelayaComments Off on WebRTC: A Standard, a Technology, and a Developer Ecosystem

WebRTC: A Standard, a Technology, and a Developer Ecosystem

Real-time communication has become an essential part of the way we interact with each other over the internet. From video calls and live streaming to interactive gaming and instant messaging, we are constantly relying on reliable and instantaneous exchanges of information. Enter WebRTC: a transformative technology standard

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How to Build a Custom Integration to External Telephony for your CPaaS-based WebRTC App
April 12, 2024
Hector ZelayaComments Off on How to Build a Custom Integration to External Telephony for your CPaaS-based WebRTC App

How to Build a Custom Integration to External Telephony for your CPaaS-based WebRTC App

The seamless browser to browser real-time audio and video communication that WebRTC enables is supported by a complex infrastructure. Things like signaling, NAT traversal and codec optimization can be difficult to maintain by the average development team unfamiliar with the intricacies of the WebRTC stack. CPaaS providers

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Adding Call Stats to Voicebot Flows
April 5, 2024
Alfred GonzalezComments Off on Adding Call Stats to Voicebot Flows

Adding Call Stats to Voicebot Flows

In a previous post, Evaluating and Improving Voicebot Flows with Call Stats, we introduced this vital health check for the continuous improvement of voicebot performance. Call statistics gauge bot effectiveness and identify bottlenecks and potential flow disruptions in AI agent workflows. Adding call stats to voicebot flows

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March 26, 2024
Hector ZelayaComments Off on Building a Serverless Post-Call Analysis Pipeline for Your Contact Center

Building a Serverless Post-Call Analysis Pipeline for Your Contact Center

In A Serverless Approach to Post-Call Analysis Using AWS Lambda, Amazon Transcribe, and Amazon Bedrock, we saw the benefits of leveraging a serverless model for implementing AI-based post-call analysis in contact center solutions. We highlighted how building such a pipeline to evaluate service and sales calls avoids

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