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The WebRTC.ventures Blog.

HomecategoryThe WebRTC.ventures BlogPage 13
WebRTC Video Optimization The Crucial Balance Between Bitrate and Frame Rate
August 22, 2024
Hector ZelayaComments Off on WebRTC Video Optimization: The Crucial Balance Between Bitrate and Frame Rate

WebRTC Video Optimization: The Crucial Balance Between Bitrate and Frame Rate

Understanding the balance between bitrate and frame rate is crucial for optimizing video quality, performance, and network usage in WebRTC applications. Both of these factors significantly impact how media is transmitted and received over the network, influencing the user experience. Let’s define these terms, their relationship, and

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Enhancing CX in Amazon Connect with Conversational Bots
August 16, 2024
Hector ZelayaComments Off on Enhancing CX in Amazon Connect with Conversational Bots Using Amazon Lex, Amazon Bedrock, and AWS Lambda

Enhancing CX in Amazon Connect with Conversational Bots Using Amazon Lex, Amazon Bedrock, and AWS Lambda

Generative AI and LLMs have proven to be essential tools when it comes to providing personalized and efficient self-service experiences in the contact center industry. Amazon Connect cloud contact center and customer service software, Amazon Lex AI chatbot, Amazon Bedrock generative AI, and AWS Lambda serverless compute

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Understanding WHIP, WHEP, and Media Over QUIC
August 7, 2024
Jen OppenheimerComments Off on Understanding WHIP, WHEP, and Media Over QUIC: Why They Matter in 2024

Understanding WHIP, WHEP, and Media Over QUIC: Why They Matter in 2024

WHIP, WHEP, and Media Over QUIC are protocols that can significantly impact the efficiency, reliability, and quality of real-time communication and live streaming services. These protocols are not just buzzwords; they represent significant advancements in how we handle, deliver, and experience live media content.  WHIP (WebRTC-HTTP Ingestion

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Should Contact Centers Develop Custom AI Solutions for LLM Features
July 22, 2024
Hector ZelayaComments Off on Should Contact Centers Develop Custom AI Solutions for LLM Features?

Should Contact Centers Develop Custom AI Solutions for LLM Features?

Contact centers are constantly seeking ways to enhance customer experience and operational efficiency. Large Language Models (LLMs) have emerged as powerful tools capable of transforming how businesses interact with their customers. From streamlining support processes to personalizing interactions, LLMs offer a wealth of possibilities for contact centers

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