Artificial Intelligence in Real Time Communications 2018: AI and Machine Learning Opportunity and Challenges in Speech and Video Conferencing Technologies - ResearchAndMarkets.com

DUBLIN--()--The "Artificial Intelligence in Real Time Communications" report has been added to ResearchAndMarkets.com's offering.

The research is designed to help product, strategy, and business development decision makers communications service providers, technology vendors, communications-centric app providers, and enterprise information technology organizations.

This study examines the role of Artificial Intelligence (AI) and Machine Learning in Real Time Communications (RTC). Advances in consumer-oriented AI technologies are now finding new applications and use cases as these capabilities become democratized. The communications industry, which was once at the forefront of many of these technologies, is now presented with a plethora of new options for improving existing applications, finding new cost advantages, and redefining existing communications modalities.

The report indicates most AI efforts in communications companies are focused on speech analytics. Established vendors and a growing number of startups are looking into AI technologies to improve their product offerings, create better experiences for their customers and increase their competitiveness. With limited skills in AI available, it is crucial for companies to start early on in their journey towards AI support. Most communications vendors are only starting this journey and will require major effort to catch-up with current technology leaders.

This study examines the use of machine learning and AI technologies in 4 distinct domains:

  • Speech analytics - extracting transcription and paralinguistic information for speech to provide insights;
  • Voicebots - the role of conversational AI as a feature and enabler for applications such as Interactive Voice Response (IVR);
  • Computer vision (CV) - use of advanced vision processing algorithms on video calling streams;
  • RTC optimization - using machine learning to optimize end-to-end network architecture and lower-level VoIP protocols.

Key Topics Covered:

1 Executive Summary

2 Scope & Methodology

3 Machine Learning Overview

4 Speech Analytics

5 Voicebots

6 Computer Vision

7 RTC Quality And Cost Optimization

8 RTC Survey Results

Companies Mentioned

  • 2Hz
  • Affectiva
  • Agora.io
  • Amazon
  • Apple
  • Aspect
  • AT&T
  • Chorus.ai
  • Cisco
  • Crowd Emotion
  • Deepgram
  • Dialpad
  • Dolby
  • Eyeris
  • Face++
  • Facebook
  • Five9
  • Google
  • IBM
  • Impelo
  • Kairos
  • Lifesize
  • Logitech
  • Microsoft
  • Mitel
  • Mozilla
  • Nuance
  • nViso
  • Plivo
  • Polycom
  • Verint
  • Vidyo
  • Voca
  • Voicebase
  • Vonage

For more information about this report visit https://www.researchandmarkets.com/research/7r73l6/artificial?w=4

Contacts

ResearchAndMarkets.com
Laura Wood, Senior Press Manager
press@researchandmarkets.com
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Related Topics: Artificial Intelligence

Contacts

ResearchAndMarkets.com
Laura Wood, Senior Press Manager
press@researchandmarkets.com
For E.S.T Office Hours Call 1-917-300-0470
For U.S./CAN Toll Free Call 1-800-526-8630
For GMT Office Hours Call +353-1-416-8900
Related Topics: Artificial Intelligence