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It's All About The Ground Truth

With Machine Learning, It’s All About The Ground Truth Data

AI in healthcare and medicine are growing areas of investment, reaching almost $1.3 billion across 107 deals in 2017. The availability of the right data at scale is a critical factor in this space. In the Global AI issue of…

Excellence, Flexibility Cited As iMerit Differentiators

Research firm Cognilytica recently released a briefing note focusing on iMerit's data labeling work and the role of labeling in the development of machine learning algorithms. Here’s an excerpt from the note: In order...

The Making of a Medical Data Labeling Expert

Namita Pradhan walks into iMerit’s Bhubaneshwar office on a sunny and humid day. She begins her work of identifying specific pathological abnormalities in a series of high-resolution endoscopy slides. She spends her…

ML Helps Firm to ‘Zero Net’ Deforestation in Supply Chain

When we look up at the sky today to see the stars and the moon, there are around 4987 orbital satellites looking right back down at us, and capturing images of vast tracts of the earth. These eyes in the…

Exciting-News-about-AWS-iMerit-Partnership

iMerit Partners With Amazon SageMaker Ground Truth

A few weeks ago, we announced a major new partnership with Amazon Web Services to provide secure enterprise-grade data labeling services on SageMaker Ground Truth. Amazon SageMaker Ground Truth is a new…

iMerit’s Basu on “AI For Good” And Digital Transformation

We had the honor of participating in a special event last week on the theme of digital transformation for non-profits. Joining us at NetHope’s Global Summit in Dublin were speakers from Microsoft, Facebook…

Deloitte, Red Herring Honor iMerit For Innovation, Growth

We are proud to announce that iMerit has won not one, but two awards in the last days. Both awards are delivered by technology thought leaders and recognize iMerit’s cutting-edge, ‘human-in-the-loop’ approach to...

The Athlete and the Machine: New trends in AI & Sports

While you were hard at work watching the FIFA World Cup, we were busy compiling the latest trends in the application of Machine Learning and Computer Vision to sports technology. This is a topic of interest to us because of…

Standardized data taxonomies for self-driving vehicles?

To create an algorithm that learns to ‘see’ a typical road the way humans do, data experts first need to classify and then label the different components of the road: for example, “this is a tree, this is another car, this is the curb...
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