Trading Tech Stocks; Tech Stock News and daily Podcasts: December 2020

Wednesday, December 30, 2020

The #AIEye #Podcast 502: GBT Tokenize (OTCPINK: $GTCH) Developing qNET Security Protocol for qTerm Vital Signs Device, and Datametrex (TSXV: $DM.V) Announces German Versions of NexaSecurity and NexaSMART; #Artificialintelligence

The #AIEye #Podcast 502: GBT Tokenize (OTCPINK: $GTCH) Developing qNET Security Protocol for qTerm Vital Signs Device, and Datametrex (TSXV: $DM.V) Announces German Versions of NexaSecurity and NexaSMART; #Artificialintelligence

Global Smart Machines Market to Grow $10.79 Billion from 2020-2024

Point Roberts WA, Vancouver BC – December 30, 2020 – 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/2020/123020-AI-Eye.mp3

Read this in full at https://www.investorideas.com/news/2020/artificial-intelligence/12301GTCH-DM.asp

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

Stocks discussed: (OTCPINK:GTCH) (TSXV:DM)

GBT Tokenize Corp, the joint venture of GBT Technologies Inc. (OTC PINK:GTCH), is developing a new security protocol, code name qNET, for its qTerm human vital signs device. According to the press release, qNET will include “methods for node's identification, packet exchange and formatting rules,” and “will have a security policy that is supervised by GBT's AI system.” Danny Rittman, GBT’s CTO, explained:

“qTerm vital device will be using private and confidential users information and it is our highest priority to protect it. That is why we are investing in the development of qNET, a dedicated, private network security protocol, especially designed for qTerm. qNET will include a high and low level security protocol since it is planned to be used for communication over the internet. Within qNET we are adopting government security standards, guidelines and high levels of encryption technology. We are going to use our database sharing segmentation methods according to the recent patent that was granted by the USPTO earlier this month.”

Datametrex AI Limited (TSXV:DM) has announced the release of German language capabilities for its AI-based NexaSecurity and NexaSMART- Social Media Automated Reporting Technology. Datametrex CEO, Marshall Gunter, said:

"This latest development opens up almost all of Europe and the German-speaking market, which is the world's fourth largest economy by GDP and has a huge need for artificial intelligence-based tools to counter social media-based disinformation campaigns.

As mentioned in our investor webinar, market expansion plans for international markets are being realized by investing income from our COVID19-test-kit sales into the development of our core technology, artificial intelligence-based analytics."

Global Smart Machines Market to Grow $10.79 Billion from 2020-2024

A report published by Technavio finds that the global Smart Machines market will grow by $10.79 billion from 2020 to 2024 with a compound annual growth rate (CAGR) of 12 percent. An excerpt from the report snapshot reads:

The smart machines market by expert systems has been gaining traction owing to the increase in investments in automating processes that were performed mainly by human labor. The forecast period will see a growth in the market coming from sectors such as healthcare, defense retail, agriculture, finance, and commerce. These machines will be increasingly adopted to replace human experts in areas such as diagnosis, prediction, design, planning, monitoring, debugging, and repair.

Sam Mowers, Investorideas.com

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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 IoT creator, developing Internet of Things (IoT) and Artificial Intelligence (AI) enabled mobile technology platforms. GBT has a portfolio of Intellectual Property that, when commercialized, will include smart microchips, mobile and security applications and protocols, and supporting cloud software. GBT’s system envisions the creation of a global mesh network. The core of the system will be its advanced microchip technology that can be installed in any mobile or fixed device worldwide. GBT envisions this system as a low-cost, secure, private mesh network between any enabled devices, providing shared processing, advanced mobile database management/sharing and enhanced mobile features as an alternative to traditional carrier services.

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Tuesday, December 29, 2020

#AI #Health Breaking News: GBT Tokenize (OTCPINK: $GTCH) is Developing a Private, Advanced #Security Protocol, qNET For qTerm

#AI #Health Breaking News: GBT Tokenize (OTCPINK: $GTCH) is Developing a Private, Advanced #Security Protocol, qNET For qTerm

SAN DIEGO - December 29, 2020 (Investorideas.com Newswire) GBT Technologies Inc. (OTCPINK: GTCH) ("GBT", or the "Company"), announced that its Joint Venture, GBT Tokenize Corp ("GBT/Tokenize"), is developing a new security protocol, code name qNET, for its qTerm vital device.

Read this news, featuring GTCH in full at https://www.investorideas.com/CO/GOPH/news/2020/12291qNET.asp

As qTerm device will be communicating through a mobile application with a backend program, transferring private information, a secured network protocol is needed to set the rules and conventions for communication between the network devices. The protocol includes methods for node's identification, packet exchange and formatting rules. GBT is developing a highly secured protocol based on its database sharing technology. In this method, a communication message is done using a packet's segmentation technique. The segments are sent to many nodes as an index algorithm maintains locations, segment's size and other essential packet's information. In addition, it ensures redundancy to keep message reliability. GBT has already developed a gNET security system in order to protect high and low level networks, in addition to wireless communication. qNET is a private derivative of gNET private, secured protocol that will be adopted for qTerm communication. qNET protocol will have a security policy that is supervised by GBT's AI system. The security policy is designed to provide high-level security principles in order to maintain user's privacy and keep personal data confidential. The policy also defines the protocol's encryption algorithms that will be used. With the goal of achieving a high security level, the protocol will be compliant with the National Institute of Standards and Technology's security and privacy guidelines, as stated in NIST 800-53 publication. NIST 800-53 guidelines recommend security policies and procedures for federal information and organizations and were also adopted by the private sector. The NIST is a non-regulatory agency of the U.S. Commerce Department and was established to encourage and assist innovation and science through the promotion and maintenance of a set of industry standards and guidelines.

These guidelines were created to heighten the security of the information systems used within the federal government. GBT's qNET security protocol will be multi-tiered based and self monitored by a machine learning algorithm. The system is based on Zero Trust network security model which is based on a strict identity verification process. This model dictates authentication and authorization to access the application's data. At the same time, it is designed to protect users from advanced threats that may occur through the Internet. qNET protocol is planned to be fully equipped with a high security encryption algorithm called AES 256. AES (Advanced Encryption Standard) was developed to meet the needs of the U.S. Government and is one of the most trusted security algorithms that is used by the U.S. Government and private corporations. Another layer of encryption will be the Honey Encryption method which targets to deceive hackers by providing them with a fake information any time an incorrect password or encryption key is guessed as part of a malicious attack. The complete qNET system is planned to be developed by the end of the year 2021.

"qTerm vital device will be using private and confidential users information and it is our highest priority to protect it. That is why we are investing in the development of qNET, a dedicated, private network security protocol, especially designed for qTerm. qNET will include a high and low level security protocol since it is planned to be used for communication over the internet. Within qNET we are adopting government security standards, guidelines and high levels of encryption technology. We are going to use our database sharing segmentation methods according to the recent patent that was granted by the USPTO earlier this month. The data will be split into segments and stored on numerous network nodes. Each segment is meaningless by itself and only by assembling them together, as part of a huge puzzle, the information is revealed. Each segment is encrypted to further heighten its security. In order to protect user's data from malicious cyber attacks an AI system will be constantly monitoring the overall network 24/7. In case of a breach the system will take an immediate action by closing chosen network's nodes and re-locating the data to alternative devices according to redundancy plan. Since we have few types of networks, we plan to use AES 256 and honey encryption methods to ensure the highest security. Network security is probably one of the most popular fields nowadays due to the vast amount of information that is at risk. Therefore, we will spare no expense with the development of qNET to provide operational, technical, and AI controlled safeguards to maintain the integrity, confidentiality, and security of qTerm users' information. The system is planned to be completed by the end of next year and will work with qTerm's mobile application, backend and a web based interface over the internet," stated Danny Rittman, GBT's Chief Technology Officer.

About Us

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.

Forward-Looking Statements

Certain statements contained in this press release may constitute "forward-looking statements". Forward-looking statements provide current expectations of future events based on certain assumptions and include any statement that does not directly relate to any historical or current fact. Actual results may differ materially from those indicated by such forward-looking statements as a result of various important factors as disclosed in our filings with the Securities and Exchange Commission located at their website (http://www.sec.gov). In addition to these factors, actual future performance, outcomes, and results may differ materially because of more general factors including (without limitation) general industry and market conditions and growth rates, economic conditions, governmental and public policy changes, the Company's ability to raise capital on acceptable terms, if at all, the Company's successful development of its products and the integration into its existing products and the commercial acceptance of the Company's products. The forward-looking statements included in this press release represent the Company's views as of the date of this press release and these views could change. However, while the Company may elect to update these forward-looking statements at some point in the future, the Company specifically disclaims any obligation to do so. These forward-looking statements should not be relied upon as representing the Company's views as of any date subsequent to the date of the press release.

Contact:

Dr. Danny Rittman, CTO
GBT Technologies Inc.
Media: press@gopherprotocol.com

GBT Technologies Inc. (OTCQB:GTCH) is a featured tech stock on

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Monday, December 28, 2020

#AIEye #Podcast 501: GBT (OTCPINK: $GTCH) Developing #AI-Based Graphic Analytics, and Mobi724 Smart Transactions (TSXV: $MOS.V) Enters Agreement with Moneta Technologies; #Artificialintelligence

#AIEye #Podcast 501: GBT (OTCPINK: $GTCH) Developing #AI-Based Graphic Analytics, and Mobi724 Smart Transactions (TSXV: $MOS.V) Enters Agreement with Moneta Technologies; #Artificialintelligence

Global Machine Learning Market to Reach $27.7 Billion by 2027

Point Roberts WA, Vancouver BC – December 28, 2020 – 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/2020/122820-AI-Eye.mp3

Read this in full at https://www.investorideas.com/news/2020/artificial-intelligence/12281GTCH-MOS.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) (TSXV:MOS)

GBT Technologies Inc. (OTC PINK:GTCH), is developing an AI based graphic analytics system, targeted for medical imaging, as part of its plan to move forward towards the medical analytics field. A quote from the press release reads:

“We already developed graphic analytics techniques within our Avant! AI system and now plan to further develop advanced deep learning imaging algorithms to analyze modern images of CT, MRI, X-RAY, PET and Ultrasound. We believe we will be able to target the system to assess images for evidence of abnormalities and alert providers to the potential diagnoses, with the goal of pointing subjects-of-interest to physicians, enabling faster treatment. The system is planned to use AI algorithms to learn the image parameters and train a neural network for pixels recognition and analytics. We intend for the system to provide risk scores for areas of concern.”

Mobi724 Smart Transactions Inc., the wholly-owned subsidiary of Mobi724 Global Solutions, Inc. (TSXV:MOS), has entered into a three-year strategic partnership agreement with Stratus Technologies México S.A. de C.V., to “promote, market, distribute and license the full suite of Mobi724 software solutions to existing and prospective clients of Moneta in Latin America and Brazil.” Mobi724 is “a fintech enabler of AI-enhanced payment card-linked incentives,” and will have its solutions distributed and licensed by Stratus subsidiary Moneta Technologies, which is an expert in artificial intelligence. Marcel Vienneau, CEO of Mobi724, commented:

“Moneta, a recognized leader in the industry, has built a powerful presence across Latin America including Brazil, and we are looking forward to working together with them in their modernisation effort and to accelerate Mobi724's sales & the commercialisation of its platform."

Global Machine Learning Market to Reach $27.7 Billion by 2027

Research published by ReportLinker finds that the global Machine Learning market will grow from $2.8 billion in 2020 to $27.7 billion by 2027 with a compound annual growth rate (CAGR) of 38.4 percent in the forecast period. An excerpt from the report summary provides a regional breakdown of the market’s growth:

The Machine Learning market in the U.S. is estimated at US$862.3 Million in the year 2020. China, the world's second largest economy, is forecast to reach a projected market size of US$4.4 Billion by the year 2027 trailing a CAGR of 36.1% over the analysis period 2020 to 2027. Among the other noteworthy geographic markets are Japan and Canada, each forecast to grow at 35.7% and 32.4% respectively over the 2020-2027 period. Within Europe, Germany is forecast to grow at approximately 25.7% CAGR.

Sam Mowers, Investorideas.com

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For a list of artificial intelligence stocks on Investorideas.com visit here

Investors can trade these stocks and other ideas on our site using our list of top stock trading apps including Robinhood , Acorn, Stash and others.

About GBT Technologies Inc.

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Wednesday, December 30, 2020

The #AIEye #Podcast 502: GBT Tokenize (OTCPINK: $GTCH) Developing qNET Security Protocol for qTerm Vital Signs Device, and Datametrex (TSXV: $DM.V) Announces German Versions of NexaSecurity and NexaSMART; #Artificialintelligence

Investors can trade these stocks and other ideas on our site using our list of top stock trading apps including Robinhood , Acorn, Stash and others.

Tuesday, December 29, 2020

#AI #Health Breaking News: GBT Tokenize (OTCPINK: $GTCH) is Developing a Private, Advanced #Security Protocol, qNET For qTerm

Monday, December 28, 2020

#AIEye #Podcast 501: GBT (OTCPINK: $GTCH) Developing #AI-Based Graphic Analytics, and Mobi724 Smart Transactions (TSXV: $MOS.V) Enters Agreement with Moneta Technologies; #Artificialintelligence

Investors can trade these stocks and other ideas on our site using our list of top stock trading apps including Robinhood , Acorn, Stash and others.