It’s all about the ground truth
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 AIMed magazine, iMerit Solutions Architect Dr Sina Bari writes about…
Cognilytica releases briefing note on iMerit
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 for many machine learning algorithms to be trained, especially supervised learning algorithms, they need to be…
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 day dealing with dozens of anatomical images, marking and classifying precise abnormalities with intense concentration. Namita is one…
Palm Oil and Machine Learning
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 sky provide image data that can tell us a number…
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 capability of Amazon SageMaker that makes it easy for customers to efficiently and accurately label the large datasets…