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Datametrex AI Ltd V.DM

Alternate Symbol(s):  DTMXF

Datametrex AI Limited is a technology-focused company with exposure to artificial intelligence, healthcare, and mobile gaming. It is focused on collecting, analyzing and presenting structured and unstructured data using machine learning and artificial intelligence. The Company's products include AnalyticsGPT, Cyber Security, and Healthcare. AnalyticsGPT platform scans vast data streams from social media, news, blogs, forums, messengers, enterprise data, and the dark Web, creating predictive analytics. Cyber Security is a deep analytics platform that captures, structures, and visualizes vast amounts of unstructured social media data, which is used as a discovery tool that allows organizations to make decisions. It offers Nexa Products, which consists of NexaSecurity and NexaSMART. Healthcare consists of Imagine Health Centres, a multidisciplinary healthcare facility, and Medi-Call, a telehealth platform. The Company also offers a mobile blockchain game, Cereal Crunch.


TSXV:DM - Post by User

Comment by oltimeron Jun 22, 2022 7:13pm
198 Views
Post# 34775605

RE:RE:RE:RE:RE:RE:Aiking & oltimer , you think I’m reaching or

RE:RE:RE:RE:RE:RE:Aiking & oltimer , you think I’m reaching or
You're welcome !

The company has not shared a lot details on this subject but one area I am excited about is the EV space. I am eager to find out what their AI can do with the EV charging infrastructure.
There's huge untapped potential there. Smart charging network is what sets Tesla apart from the others and AI is the very core of that system. Everything from managing/reducing peak demands at charging stations. Ensuring that when the systems recommends a stop that there's no long queues awaiting, basically timely departures and sufficient level of charge for each vehicle. costs management for both driver and charging network operator...etc etc.

Another area, I like is the Telehealth. MG, spoke a few times about using their AI to help with the patient diagnosis...aka computer-assisted medical decision making. There's a lot of empirical data on this subject, and it's mostly based on NLP.
https://www.sciencedirect.com/science/article/abs/pii/S2210844021000411
https://www.healthcatalyst.com/insights/how-healthcare-nlp-taps-unstructured-datas-potential
https://premierinc.com/newsroom/blog/unlock-the-intel-in-patient-data-with-natural-language-processing

In both cases, I like the idea of them creating the technology and licensing it to companies in those sectors.
 
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