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AI Eye Podcast 702: Stocks discussed: (OTCPINK: $GTCH) (NYSE: $IBM)

Vancouver, Kelowna, Delta, BC – June 6, 2022 ( 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 – featuring technology company GBT Technologies Inc. (OTCPINK:GTCH).

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AI Eye Podcast 702: Stocks discussed: (OTCPINK: $GTCH) (NYSE: $IBM)


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

Stocks discussed: (OTCPINK:GTCH) (NYSE:IBM)

GBT Technologies Inc. (OTC PINK:GTCH) has announced that it is researching the development of a machine learning-driven, automated integrated circuits design environment, enabling Fast-Track, Design-to-Silicon capabilities. The goal of this, according to the press release, “is to improve design performance by analyzing latency area optimization, bandwidth and power.” Danny Rittman, the company’s CTO, explained:

“We are researching an IC solution that would target small start-up companies to large corporations in the semiconductor industry with varying design requirements. With GBT’s new approach, we aim to develop a machine learning-driven, one automated IC design flow, enabling Fast-Track Design-to-Silicon for IC design houses. The way we want to do this is by combining traditionally separate front-end and back-end chip design flows into one integrated environment that accelerates the overall design cycle and reducing the IC development costs. A typical microchip design process includes many steps which are classified as front-end and back-end tasks. Various steps are executed using separate EDA tools which require vast amount of integration and design environment adjustments. The new, machine learning-driven flow that we are researching aims to provide one-stop design environment advanced capabilities, with high levels of automation, with the goal of enabling the delivery of superior quality designs, with much faster completion time.”

IBM (NYSE:IBM) has plans for the acquisition of Randori, described as “a leading attack surface management (ASM) and offensive cybersecurity provider,” a move that advances IBM’s Hybrid Cloud strategy and “strengthens its portfolio of AI-powered cybersecurity products and services.” Brian Hazzard, Co-Founder & CEO at Randori, said:

“We started Randori to ensure every organization has access to the attacker’s perspective. To stay ahead of today’s threats, you need to know what’s exposed and how attackers view your environment – that’s exactly what Randori provides. By joining forces with IBM, we can greatly accelerate this vision and strategy – leveraging IBM’s deep expertise in AI, threat intelligence, offensive security and global reach. Together, we can arm the industry with the attacker’s perspective – helping to give every organization the visibility and insight needed to get in front of the next wave of attacks.”

Global Edge AI Software Market to Reach $3.09B by 2027

A report published by Research Dive finds that the global Edge AI Software market is projected to grow from $435.9 million in 2019 to $3.09 billion by 2027, registering a compound annual growth rate (CAGR) of 28.8 percent in the forecast period. An excerpt from the report overview outlines the ways in which Edge AI is leveraged, which in turn drives the market:

Edge AI software allows real time operation such as data creation and decision actions. Edge AI software is utilized in production of wearables that enhance battery life of wearable devices. In addition, edge AI software avoids complications of streaming and can store large amounts of data to the cloud that in turn enhances the privacy of the stored data. Besides, this software is utilized in the telecom and enterprise segment that supports multi-cloud and enables to run edge AI analytical software that helps to gain complete action in less time.

Sam Mowers,

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About GBT Technologies Inc.

GBT Technologies, Inc. (OTC PINK: GTCH) (“GBT”) ( 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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