Source: AIThority.com

In 2021, the increase in AI usage across businesses will create $2.9 trillion of business value and 6.2 billion hours of worker productivity. AI startups got record funding of $7.4 billion in Q2 of 2019. By March 2019, there were 279,145 AI patent applications in the U.S.


Source: Moogsoft

What is AIOps?

  • Collect and aggregate the huge and ever-increasing volumes of operations data generated by multiple IT infrastructure components, applications, and performance monitoring tools.
  • Intelligently sift ‘signals’ out of the ‘noise’ to identify significant events and patterns related to system performance and availability issues.
  • Diagnose root causes and report them to…


Source: Emerj

As per Statista Worldwide spending on blockchain solutions is expected to grow from 4.5 billion U.S. dollars in 2020 to an estimated 19 billion U.S. dollars by 2024.

What is Blockchain?


Source: Unsplash

“A research study by Everage says, 4 in 10 marketers (40%) employ machine-learning personalization, using algorithms and predictive analytics to dynamically present recommendations and experiences tailored to individual audience members”


Source: Fingent.com

AIOT: HOW THE INTERSECTION OF AI AND IOT WILL DRIVE INNOVATION FOR DECADES TO COME

WHAT IS AIOT?


Source: Simplilearn

The marketplace for computer vision is anticipated to exceed $48.6 billion by 2022, making it a very lucrative UX technology.

What is Computer Vision?

How does Computer Vision work?


Source: CFO

“ After the Covid-19 pandemic hit , many researches emerged suggesting the use of machine learning models to diagnose Covid-19 from medical images. But, a recent systematic review by University of Cambridge researchers suggests that as a “too flawed” way and “unsuitable” for use in patients! “


Source: Analytics Insight


actuia.com

The forecasted AI annual growth rate between 2020 and 2027 is 33.2%.


Source: Smith School of Business Queen’s University

Just 2 years ago, Gartner predicted that 85% of AI projects won’t be able to be delivered. That means, out of 20 AI projects, only 3 will succeed! Scary isn’t it?

Tech in 3

We are a team of 3 friends who are on a mission to make people understand technology in simple terms!

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