Hype Cycle for Natural Language Technologies, 2020

Behavioral Signals a Sample Vendor for Natural Language Technologies

LOS ANGELES (PRWEB) AUGUST 05, 2020: A Gartner report titled Hype Cycle for Natural Language Technologies, 2020 (ID: G00467879) (Gartner subscription required) names Behavioral Signals as a Sample Vendor in Emotion AI. Analysts Bern Elliot, Anthony Mullen, Adrian Lee, and Stephen Emmott authored the report published on July 6, 2020.

The report classifies Emotion AI’s benefit rating as “transformational”, the highest rating in the Priority Matrix for Natural Language Technologies, 2020, with a five to ten-years to mainstream adoption rate. Natural language process (NLP), Large-Scale Pretrained Language Model, Natural Language Processing(NLP), and Natural Language Understanding also have similar adoption rates. Emotion AI technology is categorized as “on the rise” and according to the report, “Emotion AI technologies have already been adopted by various business functions in different industries, including call centers, PARs, and high-end cars.”

Behavioral Signals excels at distinguishing behavioral signals in speech data with its proprietary deep learning technology. Call centers are a business sector that has adopted voice-based emotion AI for intelligent routing to increase better customer experience. A previous Gartner report titled 3 Best Practices for Product Managers to Drive Adoption of Emotion AI Technology (ID: G00717124) also recognizes Behavioral Signals.

“We’ve reached a turning point in emotion AI technology adoption as we provide safer, more robust, and more accurate solutions to understand human behavior,” says Rana Gujral, CEO of Behavioral Signals. “As the emerging industry matures, data becomes stronger, and more awareness is created by reports such as this, the adoption speed and understanding of the benefits of systems to act more sympathetically will naturally increase.”

Rana Gujral, CEO at Behavioral Signals
Natural Language Technologies Gartner Hype Cycle

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About Behavioral Signals
Founded in 2016, Behavioral Signals enhances communication between humans and human-to-machine by deducing intelligent and actionable insights from voice using deep learning and NLP. Behavioral Signals offers a new level of customer understanding and leverages its advanced acoustics engine to not only discover genuine emotion but also predict the speaker’s intent via behavioral analysis. Offices are in Europe and Los Angeles, CA

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