SEATTLE--(BUSINESS WIRE)--Mar. 27, 2019--
Marchex (NASDAQ: MCHX),
a leading provider of call analytics that drive, measure, and convert
callers into customers, today announced that it has been selected to
present at two leading international conferences focused on artificial
intelligence.
Marchex’s head of artificial intelligence and Chief AI Scientist, Junmei
Zhong, Ph.D., presented at the third International Conference on
Innovation in Artificial Intelligence and the fourth IEEE International
Conference on Big Data Analytics joint event in Suzhou, China on March 16th.
Dr. Zhong was the chairperson of this conference and delivered a
presentation regarding Marchex’s AI and Natural Language Processing
(NLP) work on customer churn prediction. Marchex has successfully built
an AI/NLP model that can help predict when customers are planning to
switch to other service providers based on churn patterns that surface
in customer calls. With sufficient training data from phone calls
annotated by Marchex’s innovative data labeling technology, the
company’s proposed convolutional neural network model has the potential
to be powerful and highly strategic for businesses.
According to Marchex’s research, arming businesses with the knowledge
that a customer is predicted to churn will enable them to take proactive
steps in their interactions with the customer to prevent churn before it
ever happens. Dr. Zhong is a leader in the Marchex Innovation
Development (MIND) Lab, a research and development group that supports
AI-fueled product innovation to help businesses engage and nurture
customer relationships across communications channels, including voice
and text.
Marchex will also be featured at the 8th International Conference on
Advanced Information Technologies and Applications in Copenhagen,
Denmark on June 29-30: William Li, VP of Engineering at Marchex, will
chair the committee on Artificial Intelligence and will present
“Predicting Customer Call Intent by Analyzing Phone Call Transcripts
Based on Convolutional Neural Network (CNN) for Multi-Class
Classification.” The company has developed a first ever CNN-based
supervised learning model to classify customer calls into unique signals
derived from inbound calls to auto dealers.
The featured speaking engagements and presentations resulted from each
conference’s peer review process that selected Marchex-authored papers
for the events.
About Marchex’s Speech Analytics
Introduced in April 2017, Marchex speech analytics technology has
analyzed more than 140 million consumer-to-business conversations
comprising over 500 million minutes of conversational data and is in
growing process for even more. This purpose-built solution leverages
machine and deep learning algorithms and AI-powered conversation
analysis functionality designed to help enterprise brands solve complex,
industry-specific business challenges in managing, monitoring, and
tracking phone calls at scale. With the intelligence and insights from
Marchex’s conversational analytics solutions, brands are empowered to
optimize their media spend and accelerate sales.
About Marchex
Marchex is a leading provider of call analytics that drive, measure, and
convert callers into customers. The company understands that the best
customers are those who call a company – they convert faster, buy more,
and churn less. Marchex provides solutions that help companies drive
more calls, understand what happens on those calls, and convert more of
those callers into customers. Marchex’s actionable intelligence
strengthens the connection between companies and their customers,
bridging the physical and digital world, to help brands maximize their
marketing investments and operating efficiencies to acquire the best
customers.
Please visit the Marchex blog or
@marchex on Twitter (Twitter.com/Marchex) to learn more.
View source version on businesswire.com: https://www.businesswire.com/news/home/20190327005229/en/
Source: Marchex, Inc.
Investor Relations:
Trevor Caldwell, 206-331-3600
ir@marchex.com
or
Media
Inquiries:
Chelsea Looney, 206-331-3644
clooney@marchex.com