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Wednesday, September 1, 2021

#AIEye #Podcast 598: #Stocks discussed: (OTCPINK: $GTCH) (NYSE: $AI) (NasdaqGS: $GOOG); #artificialintelligence



 

 

#AIEye #Podcast 598: #Stocks discussed: (OTCPINK: $GTCH) (NYSE: $AI) (NasdaqGS: $GOOG); #artificialintelligence

 

GBT Evaluating Driver Monitoring System “Apollo” and C3 AI Partners with Google Cloud for Enterprise AI

 

Global ML Market to Register 43.3% CAGR from 2021-29

 

Point Roberts WA, Vancouver BC – September 1, 2021  – Investorideas.com (www.investorideas.com), 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    featuring technology company GBT Technologies Inc. (OTCPINK:GTCH).

 

Listen to today’s podcast:

https://www.investorideas.com/Audio/Podcasts/2021/090121-AI-Eye.mp3

 

Read this in full at https://www.investorideas.com/news/2021/artificial-intelligence/09011GTCH-AI-GOOG.asp

 

Hear the Ai Eye on Spotify  

 

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

 

Stocks discussed: (OTCPINK:GTCH) (NYSE:AI) (NasdaqGS:GOOG)

 

GBT Technologies Inc. (OTC PINK:GTCH) is evaluating the development of a driver monitoring system based on its wireless movement and position detection technology, with the internal project code name “Apollo”. The company’s CTO, Danny Rittman, explained:

 

"We have identified an efficient safety application of our Apollo project technology. The Apollo system can detect objects and living entities based on radio technology. The system analyzes the returned reflected waves information and detects people's position, movements, and can even measure their vitals. When applying this technology as a driver monitoring system, Apollo can analyze the driver's face, eyes position, pupils, heart rate, breathing rhythm, head, and body position in order to "see" the driver's face, and posture. Using this data, the system can determine the driver's physical and mental status at all times. For example, it can identify that the driver's eyes are closed, open or blinking. Since the technology is RF based it can detect these characteristics even if the driver is wearing dark sunglasses or at night. AI algorithms collect the driver's data, creating a model of a driver's normality, attentiveness, and state of mind in normal circumstances. In case of abnormalities the system will alert via audible and visual to get the driver's attention. Upon user's permission setup, if no driver response is achieved in an acceptable time manner, the system can take control over the vehicle, and stop it for safety purposes. The company filed a provisional patent in June 2021, and will file a comprehensive non-provisional patent during the next few weeks. We truly believe that such a system can be an essential safety application for all vehicle types, significantly increasing our road safety for generations to come.”

 

C3.ai, Inc. (NYSE:AI) and Google Cloud (NasdaqGS:GOOG) have announced a partnership aimed at helping organizations across multiple industries accelerate their application of artificial intelligence (AI) solutions, which will involve both firms co-selling the former’s enterprise AI applications running on Google Cloud. Thomas Kurian, CEO at Google Cloud, said:

 

"Google Cloud and C3 AI share the vision that artificial intelligence can help businesses address real-world challenges and opportunities across multiple industries. We believe that by delivering C3 AI's applications on Google Cloud, and by partnering to address specific industry use cases with AI, we can help customers benefit more quickly and at greater scale."

 

Global ML Market to Register 43.3% CAGR from 2021-29

 

A report published by Research and Markets finds that the global Machine Learning (ML) market will register a compound annual growth rate (CAGR) of 43.3 percent during the forecast period 2021-2029. An excerpt from the report’s description outlines factors influencing the market’s growth:

 

The major drivers for the machine learning market are proliferation in data generation, technological advancements in machine learning, increasing adoption of connected devices and increased adoption in data driven applications. Enterprises are awash in data related to their customers, prospects, internal business processes, suppliers, partners and competitors. Often, they can't control this flood of data and convert it to actionable information for growing revenue, increasing profitability and efficiently operating the business. Organizations of all disciplines across the globe suffer a serious problem of managing data in the form of data retention, understanding dark data, data integration for proper analytics, data access and others.

 

Sam Mowers, Investorideas.com

 

Read and hear other editions of the AI  Eye

 

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About GBT Technologies Inc.


GBT Technologies, Inc. (OTC PINK: GTCH) (“GBT”) (http://gbtti.com) is a development stage company which considers itself a native of Internet of Things (IoT), Artificial Intelligence (AI) and Enabled Mobile Technology Platforms used to increase IC performance. GBT has assembled a team with extensive technology expertise and is building an intellectual property portfolio consisting of many patents. GBT’s mission, to license the technology and IP to synergetic partners in the areas of hardware and software. Once commercialized, it is GBT’s goal to have a suite of products including smart microchips, AI, encryption, Blockchain, IC design, mobile security applications, database management protocols, with tracking and supporting cloud software (without the need for GPS). GBT envisions this system as a creation of a global mesh network using advanced nodes and super performing new generation IC technology. The core of the system will be its advanced microchip technology; technology that can be installed in any mobile or fixed device worldwide. GBT’s vision is to produce this system as a low cost, secure, private-mesh-network between any and all enabled devices. Thus, providing shared processing, advanced mobile database management and sharing while using these enhanced mobile features as an alternative to traditional carrier services.

 

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