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VIDEO – Datametrex Reports $10.4m In Net Earnings On $29.5M In Revenue For H1-2021

Posted by AGORACOM-JC at 10:56 AM on Monday, August 16th, 2021
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When it comes to small-cap companies, tech-focused Datametrex AI (DM: TSXV) (D4G: FSE) (DTMXF: OTCQB) is in rarefied air; they have not one but two successful independent divisions each capable of being a company maker: COVID-19 test kit distribution, and AI-driven social media monitoring and discovery.

In our newest interview with Datametrex, we sit down with CEO Marshall Gunter to discuss the company’s explosive H1-2021.  

Financial Highlights include:  

  • Revenue of $29,494,191 compared to revenue of $2,763,796 (same period 2020)
  • Net earnings of $10,410,485 compared to ($1,590,239).
  • EBITDA of $12,250,211 compared to ($1,197,679).
  • Cash balance significantly increased to $10,555,375 from $1,971,987 end of 2020.

And if that’s not enough… the company recently announced that passing 2nd round of scrutiny on a $40 Million AI bid.

This interview is a MUST WATCH. Sit back, relax and watch below.

#Artificialintelligence isn’t just going to transform your business — it’s going to change technology itself $ #ThreeD $YEXT $MU

Posted by AGORACOM-JC at 9:03 AM on Wednesday, December 20th, 2017

  • The fact is: AI will not only transform your entire business — whether you are in healthcare, finance, retail, or manufacturing — but it will also transform technology itself
  • Essential task of information technology (IT) — and how we measure its value — has reached an inflection point

Bob Picciano, senior vice president, IBM Cognitive Systems

Open any business publication or digital journal today, and you will read about the promise of AI, known as artificial or augmented intelligence, and how it will transform your business. The fact is: AI will not only transform your entire business — whether you are in healthcare, finance, retail, or manufacturing — but it will also transform technology itself.

The essential task of information technology (IT) — and how we measure its value — has reached an inflection point.

It’s no longer just about process automation and codifying business logic. Instead, insight is the new currency. The speed with which we can scale that insight and the knowledge it brings is the basis for value creation and the key to competitive advantage.

This trend is fueling a surging interest in deep learning and AI, or, as IBM calls it, cognitive computing. According to IDC, global spending on AI-related hardware and software is expected to exceed $57.6 billion in 2021, almost a five-fold increase over the $12 billion that will be spent this year.

The real promise of AI is to unleash actionable insights that would otherwise be trapped in massive amounts of data. Much of that data is unstructured data — or the data generated by such things as written reports and journals, videos, social media posts, or even spoken words.

Since we introduced IBM Watson, and our powerful AI cloud platform, we’ve continued on our journey to reinvent computing for this new era. And we’ve learned that to meet the new demands of cognitive workloads, we need to change everything: from the algorithms and mathematics that are the foundations of the software, to the hardware that drives it, and to the cloud that deploys it.

Organizations that apply deep learning and AI, which are the superchargers for extracting insight, need the right architecture to ingest and analyze very large data sets. And you need to be able to do it at lightning-fast speeds, or faster than your competitors.

IBM is unveiling new systems built from the ground up to meet the unique demands of the AI era. They are POWER9, the first processor designed specifically for AI, as well as the next-generation POWER9-based IBM Power System AC922. These new Power Systems are powerful in their own right, but also are designed to exploit specialized silicon, such as graphical processing units (GPUs), which accelerate the type of math and information processing to power new cognitive algorithms.

The result is an AI superhighway for insights that can drive transformational outcomes for clients in every industry.

A case in point: the US Department of Energy (DOE) Summit and Sierra supercomputers which are soon to be among the most powerful supercomputers in the world and are equipped with POWER9 processors and our partner NVIDIA’s newest Volta-based Tesla GPUs. The DOE’s goal is to create the world’s fastest supercomputer at 200 Petaflops — giving it the ability to do 2 billion calculations, 1 million times, every second. That’s an enormous amount of computing power directed at solving the world’s most complex problems.

Google also is tapping into the latest POWER technology to allow for further opportunities for innovation in its datacenters.

IBM continues to pioneer new advances in silicon, hardware, and software as well as an open ecosystem, which we view as “innovation protection” to ensure that innovations are quickly brought to market to meet clients’ dynamic infrastructure needs.

We also believe in taking an integrated approach to cognitive infrastructure — with both software and hardware that are optimized to work together, while tapping into IBM research innovations such as distributed deep learning on PowerAI.

The real promise of AI is to fundamentally transform industries and professions. The goal is to enable a new understanding of customers and markets, risks and opportunities, and opening new frontiers in innovation for organizations and society.

This post is sponsor content from IBM and was created by IBM and BI Studios.