WebRTC is READY. What's Next?
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The document discusses the readiness of WebRTC and its advancements, particularly with regard to AI in real-time communications. It highlights new use cases such as file sharing, IoT, machine learning, and virtual reality gaming, and mentions the evolving role of voice analytics and smart assistants in customer interactions. The potential for machine learning to enhance media processing algorithms is also emphasized, indicating a ripe opportunity for innovation in the media processing pipeline.
WebRTC is READY. What's Next?
- 2. WebRTC is READY. What’s Next? A look at AI in RTC Tsahi Levent-Levi
- 3. Tsahi Levent-Levi • Consultant and analyst in digital communications • Focus on WebRTC, CPaaS and ML/AI • Co-founder and CEO of testRTC BlogGeek.me
- 5. WebRTC is READY #1 - Apple
- 6. WebRTC is READY #2 - H.264 becoming a first class citizen SFU 1080p 720p 360p
- 7. VP8 H.264 VP9 HEVC VP8 H.264 VP9 HEVC VP8 H.264 VP9 HEVC VP8 H.264 VP9 HEVC
- 8. WebRTC is READY #3 - Google has moved on, focusing on live streaming
- 9. What’s Next?
- 10. What are the “New Use Cases”? • File Sharing • Internet of Things • Funny Hats • Machine Learning • Virtual Reality Gaming • Secure Communications
- 11. The Future of RTC: Machine Learning
- 12. Chad Hart / cwh.consulting Tsahi Levent-Levi / bloggeek.me
- 14. • Different vendors map ML/AI differently • Different vendors tackle ML/AI differently • We are still VERY early in the game
- 15. Voice Analytics It all relies on speech to text offline real-time Voicemail Transcription Meeting Transcription Meeting Summarization Spam Call Filtering Voice Assistants
- 16. Voice bots Who is the bot? The customer or the business? Google Duplex Smart IVR Outbound
- 17. 2011 2012 2013 2014 2015 2016 2017 2018 Apple introduces Siri Google launches Google Now Microsoft Cortana on Windows 10 Amazon releases Alexa & Echo Google Acquires API.AI IBM Launches Watson Virtual Agent Google Home Contact Center AI Apple Homepod Amazon Echo Connect source:
- 18. Computer Vision
- 19. Quality Optimization Can machine learning replace/improve current media processing algorithms? t quality heuristics
- 20. Media Processing Pipeline is Ripe for innovation Capture Encode Send Receive Decode Play Sender Side Receiver side source:
- 21. What will YOU do with AI in RTC?krankygeek.com/research