Artificial Intelligence in Real Time Communications

Study Overview

Thanks to advances in Machine Learning techniques, intelligence is being added to the products and services we use every day. We routinely speak to voice assistants, use vision processing to identify friends and family in photos, and quietly benefit from behind the scenes algorithms that improve quality and reliability.  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.

This study examines the role of Artificial Intelligence (AI) and Machine Learning in Real Time Communications. It 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.

The study will be answering key questions such as:

  • What are the capabilities and limitations for machine learning in communications?
  • Can technologies created by Google, Amazon, Facebook, IBM and other industry giants be repurposed for the communications-centric applications of other providers?
  • What communications AI use cases already exist?
  • What new applications are likely to emerge?
  • How can Machine Learning be used to improve communications costs and performance?
  • What resources and investments are required to add machine learning based features to an existing product portfolio?
  • Who are the leading speech analytics, computer vision, voice bots, and performance algorithm vendors and projects?
  • What vendor and technology selection criterion should be considered?

The report authors have years of experience in technical, product management, and consulting roles evaluating and applying new technologies, including practical work with speech analytics, computer vision, voice bots, and performance algorithms. Together they bring unique insight and supporting data for product owners, analysts, and anyone that has a key stake in advancing the communications market.

 

Methodology

  • Thought leader interviews – in-depth 1-on-1 interviews with key industry technology suppliers, leading vendors in speech analytics, computer vision,  voice bots, and machine learning tools.
  • Industry web survey – Aimed at the broader real time communications market to supplement and prioritize more in-depth interviews (survey link)
  • Product review – the authors will review all major machine learning products, solutions, and open source projects as identified through primary and secondary research
  • Analysis – using the above inputs, the authors will provide actionable analysis and frameworks for rapid understanding

 

Audience

  • Communications service and application providers –  looking to enhance their products and services
  • Contact Centers and IT organizations – aiming to leverage AI in their customer and employee communications
  • AI technology vendors – targeting businesses in communications vertical and working to enhance telephony oriented features
  • Investors – looking for an impartial analysis of the opportunities in communications-centric AI applications

 

Expertise

KGR

KGR is a subsidiary of Kranky Geek, LLC, a technology event company. Kranky Geek has held 7 international events. Their last event focus on AI topics including speech analytics and natural language processing for telephony, blending WebRTC with Augmented Reality (AR), using computer vision for detecting inappropriate behavior on video, Machine Learning for improving RTC, video quality, and using Tensorflow to optimize congestion control.

 

Chad Hart

Chad Hart is an independent consultant and blogger at webrtcHacks.com and cogint.ai, a blog focused on exploring the intersection of AI and communications. Chad recently ran a new product incubator where he brought many new product experiments to market including Emergency Service 911 calling for Alexa and launching a production speech analytics service. Chad’s professional experience includes authoring several large market research studies as an analyst, corporate business intelligence and industry analysis, and product management.

Learn more about Chad at cwh.consulting.

 

Tsahi Levent-Levi

Tsahi is an independent analyst and consultant for WebRTC, communications, and AI where has has authored many widely read reports and whitepapers. Tsahi Levent-Levi has over 15 years of experience in the telecommunications exploring and implementing new technologies as an engineering, manager, marketer and CTO. Tsahi holds a Computer Science Masters Degree from where his thesis was on machine learning in computational linguistics.

Learn more about Tsahi at bloggeek.me.

 

Schedule

Delivery in July 2018.

You can learn more about the report in our prospectus (PDF).

 

Contact & Ordering

Please email us at [email protected] if you are interested in participating in the study and for purchase details.