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The AI Eye Podcast Episode 479: GBT Technologies Announces Ambient Temperature Sensing Feature for qTerm Human Vitals Device and NICE Ltd. (NasdaqGS: $NICE) Announces AI-Powered ENLIGHTEN Fraud Prevention Solution


Point Roberts, WA and Vancouver, BC - November 19, 2020 ( Newswire) (, a global investor news source covering Artificial Intelligence (AI) brings you today's edition of The AI Eye - watching stock news, deal tracker and advancements in artificial intelligence.

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The AI Eye Episode 479: GBT Announces Ambient Temperature Sensing Feature for qTerm Human Vitals Device, NICE Ltd. (NasdaqGS: $NICE) Announces AI-Powered ENLIGHTEN Fraud Prevention Solution


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Today's Column - The AI Eye - Watching stock news, deal tracker and advancements in artificial intelligence

Stocks discussed: (OTCPINK:GTCH) (NasdaqGS:NICE)

GBT Technologies Inc. (OTC PINK:GTCH) has announced that its joint venture, GBT Tokenize Corp., is enhancing its AI-powered qTerm human vital signs device with the addition of an ambient temperature sensing system. This feature factors in the temperature of the user's surroundings, so as to secure a more accurate body temperature reading. It will alert the user if outside temperatures are making readings difficult to determine. Danny Rittman, GBT's CTO, explained:

"In addition, our backend program will verify the measured ambient temperature, taking the data from online resources, according to the user's location. Together with the electronic circuit, which is a high-precision digital temperature sensor actual results, qTerm will reach a conclusion about alerting the user or not. A supporting code will be developed in order to create a pre-temp measurement procedure to ensure optimum ambient temperature before checking the body temperature. We focus on accuracy and reliability of human vitals and would like to ensure optimum conditions for data measurement. Additionally, we may use the ambient data at the 'system' level for further analysis purposes. qTerm AI software will be using the data to further analyze and record the user's information for future use."

NICE Ltd. (NasdaqGS:NICE) has unveiled ENLIGHTEN Fraud Prevention, an AI and Voice Biometrics-powered solution, described as being "for automatic and continuous fraudster detection and exposure." According to the press release, ENLIGHTEN leverages a Customer Engagement AI platform and voice biometrics to "continuously scan millions of calls to accurately pinpoint suspicious behavior and uncover previously unidentified fraudsters." Barry Cooper, President, NICE Enterprise Group, explained:

"NICE ENLIGHTEN is NICE's AI platform with models specific to the Customer Engagement domain. A number of solutions across our portfolio are being infused with AI from NICE ENLIGHTEN including our Proactive Fraudster Exposure solution. NICE ENLIGHTEN Fraud Prevention ensures that fraudsters are rapidly and proactively stopped in their tracks so organizations can protect their customers and their brand. We believe that by bringing AI to Fraud Prevention we provide organizations with the agility that makes it even more difficult for the fraudsters to win."

Global Conversational AI Platform Market to Exceed $12 Billion by 2025

A report published by Research and Markets finds that the global Conversational AI Platform market will exceed $12 billion by 2025. An excerpt from the report description reads:

Conversational AI leverages natural language, machine learning, and other technologies to help omnichannel engagement platforms better understand and interact with customers, providing automated and personalized experiences across any channel including web, applications, mobile, and other platforms. Businesses can leverage opportunities to automate customer service operations as well as marketing and sales initiatives.

Businesses are beginning to integrate conversational AI through voice assistants, chatbots, and messaging apps. We expect that more than 30% of enterprises will shift their customer support function entirely to virtual assistants by 2025. This prediction is supported by our findings that indicate most customers prefer to shop with business through chat applications. This represents a massive shift from five years ago.

Sam Mowers,

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