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Wednesday, November 3, 2021

#AIEye #Podcast 621: #Stocks discussed: (OTCPINK: $GTCHD) (NYSE: $JNPR) #artificialintelligence



 

 

#AIEye #Podcast 621: #Stocks discussed: (OTCPINK: $GTCHD) (NYSE: $JNPR) #artificialintelligence

 

GBT Training Avant! AI Derivative Hippocrates, and Juniper Networks Extends AI-Driven Support to Junos Portfolio

 

Global #AI in #Manufacturing Market to Reach $13.96B in 2028

 

Point Roberts WA, Vancouver BC – November 3, 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/2021/110321-AI-Eye.mp3

 

Read this in full at https://www.investorideas.com/news/2021/artificial-intelligence/11031GTCHD-JNPR.asp

 

Hear the Ai Eye on Spotify  

 

Today’s Column- The AI Eye- Watching stock news, deal tracker and advancements in artificial intelligence

 

Stocks discussed: (OTCPINK:GTCHD) (NYSE:JNPR)

 

GBT Technologies Inc. (OTC PINK:GTCHD) has announced that it is training a derivative system of its Avant! AI called Hippocrates, which aims to “create an intelligent health advisory system.” GBT’s CTO, Danny Rittman, explained:

 

“We are in the process of training Hippocrates with accredited medical textbooks that are taught in medical schools. Additionally, we will be connecting the Hippocrates system with governmental health resources, among them are CDC, and the NCBI. The aim is to provide our AI agent with a vast amount of health-related materials to enable first line health advice and tips. The system will have cognitive capabilities to learn from its own experience and ultimately reason and predict accordingly. The health advisor agent will interact with users through a website interface and mobile application. GBT believes that artificial intelligence solutions are going to become more prominent in our new era, and plans to create a set of health-related solutions via hardware, [the] qTerm device, and supporting AI computer programs. Naturally, we plan to integrate the Hippocrates system with our qTerm device sometime during 2022. These systems aim to assist individuals and health professionals to provide better and faster healthcare anywhere around the world. The training of our Hippocrates system is the first step of building an intelligent health advisory agent that learns from vast data resources and its own experience; ultimately, becoming more knowledgeable over time, as a human does.”

 

Juniper Networks, Inc. (NYSE:JNPR) has announced that it is extending its AI-driven support to its entire Junos portfolio. Derrell James, EVP of Juniper Global Services, said:

 

"The use of data and automation are redefining how customer experience is delivered. Juniper Support Insights represents a major step forward in how we’re transforming services with a focus on personalized, proactive and predictive experience leveraging AI and cloud. With a new level of end-to-end visibility and actionable intelligence, Juniper is making it easier for service providers, enterprises and partners to optimize the operation of their networks."

 

Global AI in Manufacturing Market to Reach $13.96B in 2028

 

A report published by Meticulous Research finds that the global AI in Manufacturing market will grow to $13.96 billion USD in the forecast period 2021-2028, registering a compound annual growth rate (CAGR) of 38.6 percent. An excerpt from the report’s description reads:

 

The rising popularity of artificial intelligence in manufacturing industries for optimizing logistics & supply chains, reducing costs and downtime in production lines, the advent of Industrial 4.0, increasing volume of large complex data, and the rising adoption of industrial IoT are the key factors driving the growth of the AI in manufacturing market. Additionally, the growing scale of manufacturing operations in emerging economies, rising acceptance of modern manufacturing techniques, and increasing deployment of automation technologies are expected to offer significant growth opportunities for the growth of the AI in manufacturing market.

 

However, privacy and data protection concerns are a major challenge expected to hinder the growth of the AI in the manufacturing market.

 

Sam Mowers, Investorideas.com

 

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