Investor Ideas, Trading Ideas and Stocks to Watch : #AIEye Episode 462: GBT Technologies’ (OTCPINK: $GTCH) JV GBT Tokenize Corp Concludes qTerm Device Features, and PathAI Selects Digital Realty (NYSE: $DLR) for #AI Workloads

Tuesday, October 27, 2020

#AIEye Episode 462: GBT Technologies’ (OTCPINK: $GTCH) JV GBT Tokenize Corp Concludes qTerm Device Features, and PathAI Selects Digital Realty (NYSE: $DLR) for #AI Workloads

#AIEye Episode 462: GBT Technologies’ (OTCPINK: $GTCH) JV GBT Tokenize Corp Concludes qTerm Device Features, and PathAI Selects Digital Realty (NYSE: $DLR) for #AI Workloads

Global Autonomous Mobile #Robots Market to Grow $2.79 Billion from 2020-2024

Point Roberts WA, Vancouver BC – October 27, 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.

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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:DLR)

GBT Technologies Inc. (OTCPINK:GTCH) has announced that its joint venture, GBT Tokenize Corp., has concluded the qTerm device's features, with the addition of two features. The AI-powered qTerm device, which “can be easily attached to the back of a smartphone or used as a standalone apparatus,” measures the user’s body temperature, blood oxygen level and heart rate, and alerts the user if any measurements are deemed a concern. GBT’s CTO, Danny Rittman, explained:

"Originally, we planned to issue an initial version of the device with body temperature feature only but we have decided to add two more features that together with the temperature can provide an essential information for early detection of the virus. Now, with blood Oxygen level and heart rate, a user can easily identify early signs of health issues and take some steps. The device mobile app will support the additional two features recording and analyzing the data. We plan to expand the device further in the future, adding more features and AI capabilities."

AI-powered pathology research tech provider PathAI has selected Digital Realty Trust, Inc. (NYSE:DLR), and particularly the latter’s data hub solution on PlatformDIGITAL to deploy its AI workloads. According to the press release, “PathAI's platform uses machine learning and deep learning AI-based techniques to assist pathologists' research as part of the teams who develop new medicines for the treatment of diseases like cancer.” Don O'Neill, Vice President of Engineering at PathAI, explained the decision to work with Digital Realty:

"Despite our background as a cloud-native company, we realized that we could really benefit from a hybrid cloud infrastructure. We initially deployed with Digital Realty given their cost benefits and flexible options, but the biggest and most surprising advantage we've seen is the increase in performance and capacity. Since deploying on PlatformDIGITAL, our complicated workloads are running three to four times faster in a hybrid data center environment than purely in the cloud – a critical differentiator that significantly improved the productivity of our machine learning engineers."

Global Autonomous Mobile Robots Market to Grow $2.79 Billion from 2020-2024

A report published by Technavio finds that the market for Autonomous Mobile Robots has potential to grow by $2.79 billion from 2020-2024, during which time it is forecasted to register a compound annual growth rate (CAGR) of over 20 percent. An excerpt from the report summary outlines key drivers observed in the market:

The forecast period is expected to witness an increase in demand for autonomous mobile robots because they offer a good ROI compared to systems such as forklifts that have been traditionally used in manufacturing and non-manufacturing environments. One of the major factors that drive the preference of autonomous mobile robots over forklifts and human labor is the drop in the cost of equipment, components such as sensors, and the cost of integration along with the time required for integration. The adoption of advanced technologies such as machine learning logic, human-machine collaboration, and environmental analysis technologies and the adoption of automation and robotics due to the rise in labor costs and stringent regulations regarding difficult working conditions to prevent musculoskeletal disorders are driving the growth of autonomous mobile robots.

Sam Mowers, Investorideas.com

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