AI Eye Podcast 619: Stocks discussed: (OTCPINK: $GTCHD) (NYSE: $T)
GBT Files Patent for Infinia Long-Range Radio System, and AT&T Jointly Builds AI Feature Store with H2O.ai
Point Roberts, WA and Vancouver, BC - October 28, 2021 (Investorideas.com Newswire) Investorideas.com (www.investorideas.com), a global investor news source covering Artificial Intelligence (AI) issues a sector snapshot looking at the wearable medical device market, featuring technology company GBT Technologies Inc. (OTCPINK:GTCHD).
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AI Eye Podcast 619: Stocks discussed: (OTCPINK: $GTCHD) (NYSE: $T)
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. (OTCPINK: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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