Investor Ideas, Trading Ideas and Stocks to Watch : #AIEye #Podcast 580: #Stocks discussed: (OTCPINK: $GTCH) (NasdaqGS: $AMZN); #artificialintelligence

Friday, July 16, 2021

#AIEye #Podcast 580: #Stocks discussed: (OTCPINK: $GTCH) (NasdaqGS: $AMZN); #artificialintelligence

#AIEye #Podcast 580: #Stocks discussed: (OTCPINK: $GTCH) (NasdaqGS: $AMZN); #artificialintelligence

GBT Launching Larger Scale Testing for qTerm GEN II, and AWS Announces General Availability of ML-Powered Amazon HealthLake

#AI #Infrastructure Market to Reach $79.3B by 2026

Point Roberts WA, Vancouver BC – July 16, 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).

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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:AMZN)

GBT Technologies Inc. (OTC PINK:GTCH) has announced that it is launching larger scale testing for its qTerm GEN II prototype device, which will include a series of enhancements for higher accuracy, consistency and compatibility with a broader spectrum of user's usage and behavior. The company’s CTO, Danny Rittman, explained:

"We are expanding our qTerm's testing scale as phase I testing produced very successful results. qTerm GEN II has proven to offer better compatibility for the general population with accurate results and overall reliability. Phase II testing will include a larger number of users within a wider age group, diverse health conditions, lifestyle and occupation. We are interested to learn more about how, where and when people will be using the device, throughout their daily lives. We will evaluate the qTerm prototype for the user's measurement habits and record the data for further analysis. GEN II version improvements significantly increase the device's overall performance, accuracy and consistency. We target the larger scale testing to be used as part of the potential FDA certification process. qTerm's device is planned for personal and telemedicine usages. Based on the larger scale data we expect to fine tune the device's software and mobile application. The device is planned to include an Artificial Intelligence technology that will be offering personal calibration, real-time health statistics and monitoring. One of the major aspects for our larger testing group is to get more data about the devices ease of use and user friendliness aspects. The larger scale testing is planned to take about 30 days, which shortly after, we plan to start creating a commercial version to be handed in. We have a wide variety of potential business partners and customers for qTerm and believe that it can be an efficient health monitoring device. As part of our thorough quality assurance processes we are on a constant mission to ensure the device's highest performance, bringing it to the highest standards and industry's regulations.”

Amazon Web Services (AWS), a subsidiary of Amazon (NasdaqGS:AMZN), has announced the general availability of Amazon HealthLake, described in the press release as “a HIPAA [Health Insurance Portability and Accountability Act] eligible service for healthcare and life sciences organizations to ingest, store, query, and analyze their health data at scale,” which employs machine learning. Swami Sivasubramanian, Vice President of Amazon Machine Learning for AWS, said:

"More and more of our customers in the healthcare and life sciences space are looking to organize and make sense of their reams of data, but are finding this process challenging and cumbersome. We built Amazon HealthLake to remove this heavy lifting for healthcare organizations so they can transform health data in the cloud in minutes and begin analyzing that information securely at scale. Alongside AWS for Health, we’re excited about how Amazon HealthLake can help medical providers, health insurers, and pharmaceutical companies provide patients and populations with data-driven, personalized, and predictive care."

AI Infrastructure Market to Reach $79.3B by 2026

A report published by Markets and Markets finds that the global AI Infrastructure market is expected to grow from $23.7 billion in 2021 to $79.3 billion by 2026 with a compound annual growth rate (CAGR) of 27.3 percent in the forecast period. An excerpt from the report’s description outlines the impact of COVID-19 on the market:

The COVID-19 pandemic is an accelerator for AI technology, helping people around the world get more and more comfortable with leveraging these tools for many applications, including healthcare. The adoption of remote patient monitoring, decoding genomic sequence for drug development, healthcare chatbots, and enhancement of CT scans using AI technology in diagnosis is expected to gain momentum during and after the COVID-19 pandemic.

Post-COVID-19, the manufacturing sector is expected to adopt smart manufacturing processes using AI, IoT, and blockchain technologies. Companies can reduce costs, increase process efficiency, and reduce human contact significantly by adopting these technologies. Currently, AI is being used for predictive maintenance and will further be implemented to forecast demand and returns in the supply chain.

Several industries are adversely affected by this pandemic, but some industries are benefiting from this pandemic as well. However, the adoption of AI is expected to grow in the coming years.

Sam Mowers, Investorideas.com

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