#AIEye
#Podcast 619: #Stocks discussed: (OTCPINK: $GTCHD) (NYSE: $T) #artificialintelligence
GBT
Files Patent for Infinia Long-Range Radio System, and AT&T Jointly Builds
AI Feature Store with H2O.ai
Global
AI and Advanced Machine Learning in BFSI Market to Reach $61.24B by 2030
Point Roberts WA, Vancouver BC – October 28, 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:GTCHD).
Listen
to today’s podcast:
https://www.investorideas.com/Audio/Podcasts/2021/102821-AI-Eye.mp3
Read
this in full at https://www.investorideas.com/news/2021/artificial-intelligence/10281GTCHD-T.asp
Today’s
Column- The
AI Eye- Watching stock news, deal tracker and advancements
in artificial intelligence
Stocks
discussed: (OTCPINK:GTCHD) (NYSE:T)
GBT Technologies Inc. (OTC
PINK:GTCHD) has filed a provisional patent with the U.S. Patent
and Trademark Office (USPTO), for its long-range radio system, Infinia
(Internal project’s code name), a data and voice communication system, that is
operating via HF (High Frequency) radio waves. GBT’s CTO, Danny Rittman,
explained:
"A
long-range radio system that can sustain any weather or terrain can be a great
asset for civilian and military organizations. For example, remote areas
telemedicine and emergency services or all terrain military communications. Our
Infinia project, GEN I, has achieved great results and we filed a provisional
patent with USPTO to further protect the system and method. As the system’s
radio part was tested for its performance and capabilities, we plan to further
equip it with our AI technology (GEN II), to create intelligent, long-range
communication solutions that can be used in many domains. The system
successfully passed rigorous short and long-distance testing phases, and we
will be evaluating commercial applications for it in the near future. The
Infinia patent covers data and voice communications along with AI based methods
and algorithms to establish continuous, reliable, clear and secured HF radio
communication at all times. We consider our Infinia project one of our major
Ips, and will further file for a comprehensive, non-provisional application in
the next few months.”
AT&T Inc. (NYSE:T)
and H2O.ai have jointly built an artificial
intelligence (AI) feature store to manage and reuse data and machine learning
engineering capabilities. According to the press release, this AI Feature Store
“houses and distributes the features data scientists, developers and engineers
need to build AI models.” Sri Ambati, CEO and founder of H2O.ai explained:
"Data
is a team sport and collaboration with domain experts is key to discovering and
sharing features. Feature Stores are the digital 'water coolers' for data
science. We are building AI right into the Feature Store and have taken an
open, modular and scalable approach to tightly integrate into the diverse
feature engineering pipelines while preserving sub-millisecond latencies needed
to react to fast-changing business conditions. AI-powered feature stores focus
on discoverability and reuse by automatically recommending highly predictive
features to our customers using FeatureRank™. AT&T has built a world-class
data and AI team and we are privileged to collaborate with them on their AI
journey."
Global
AI and Advanced Machine Learning in BFSI Market to Reach $61.24B by 2030
A report published by Allied Market Research finds that the global AI
and Advance Machine Learning in BFSI market is projected to grow from $7.66
billion in 2020 to $61.24 billion by 2030, registering a compound annual growth
rate (CAGR) of 23.1 percent in the forecast period 2021-2030. An excerpt from
the report overview reads:
Artificial
intelligence in finance is transforming the BFSI industry as AI is helping the
financial industry to streamline and optimize processes ranging from credit
decisions to quantitative trading and financial risk management. In addition,
advanced machine learning technology is used to help organizations to improve
customer experience, services, and to optimize budgets. Furthermore, it
provides solutions to process automation to replace routine manual work in most
cases. In addition, AI and advanced machine learning help in reducing the
credit default frauds by monitoring transactions to detect suspicious transactions
with compliance concerns.
Sam Mowers, Investorideas.com
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