#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).
Listen
to today’s podcast:
https://www.investorideas.com/Audio/Podcasts/2021/071621-AI-Eye.mp3
Read
this in full at https://www.investorideas.com/news/2021/artificial-intelligence/07161GTCH-AMZN.asp
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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