What is the AI in RTC report about?
The study examines the role of Artificial Intelligence (AI) and Machine Learning in Real Time Communications.
Who wrote the AI in RTC report?
Chad Hart and Tsahi Levent-Levi
What was the report 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 reviews – 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
Who is the audience of the report? Who is it for?
- 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
When was the report published?
The first edition was published on August 3, 2018.
Who is Kranky Geek Research (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.
Who is 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.
Who is 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.
How much does the report cost?
The report is regularly priced at $2950 but is available for $1950 as part of a publication launch discount that expires on September 7, 2018.
Where can I purchase the report?
Please visit krankygeek.com/research or contact [email protected].
How many pages is the report?
The entire report is 147 pages.
What are the report chapters?
The chapters are:
- Executive summary
- Scope and Methodology
- Machine Learning Overview
- Speech analytics
- Computer vision
- RTC Optimization
- Survey analysis
Please visit krankygeek.com/research to see the full table of contents.
Can I get a preview of the report?
Yes, please visit krankygeek.com/research to see the full table of contents or download a report preview.