The iMerit Blog

From casual to cultured, the iMerit blog tackles a wide array of topics related to security, expertise, and flexibility in the Artificial Intelligence and Machine Learning data-enrichment marketplace.

Oct 12, 2022

From Supervised to Unsupervised – The Evolving Role of Training Data in Machine Learning

Learn the steps involved in developing a machine learning model and the distinction between supervised and unsupervised learning.

Oct 7, 2022

Data Annotation Companies – Building the Foundations of Future AI

Learn about the role of data annotation in enabling AI, the different approaches to data annotation, and the outlook for data annotation companies in 2022.

Sep 23, 2022

Training Data in Machine Learning: What’s the Point?

This post is intended to serve as a guide for those data scientists who want to ensure their supervised learning algorithm avoids common ML pitfalls.

Sep 14, 2022

AI Systems for Advanced Diagnostic Radiology: Key Takeaways

In a special guest feature with Healthcare Radius, Dr. Jaideep Jesson Rayapudi, Sr. SME – Healthcare AI at iMerit, highlights

Sep 14, 2022

5 Steps To Implementing AI Solutions: Key Takeaways

When trying to solve any problem with AI, it’s important to consider guidelines, resources, tools, and partners that can help

Sep 7, 2022

Role of Automation in Complex Data Annotation: Key Takeaways

Data annotation plays a key role in making sure AI or ML projects are scalable. Conventionally, a human is shown

Sep 7, 2022

Why it’s Time to Adopt AIOps for Business: Key Takeaways

Artificial intelligence operations (AIOps) and machine learning operations (MLOps) are new subjects and often used interchangeably. AIOps, as defined by

Sep 1, 2022

A Comprehensive Introduction to Uncertainty in Machine Learning

Uncertainty refers to the lack of confidence for each output of a machine learning algorithm. While it’s impossible to create

Aug 2, 2022

Building a Data Pipeline For Scalable AI: Key Takeaways

Learn about the key factors when scaling AI - Data Quality, Expertise, Edge Case Management, Continuous Training, Security and Governance.

Aug 2, 2022

insideBIGDATA’s ‘Heard on the Street’ Features iMerit

Read key takeaways from insideBIGDATA’s article highlighting thought-leadership commentaries from members of the big data ecosystem.

Jul 26, 2022

Data Labeling for Machine Learning

For supervised learning applications such as image recognition, sentiment analysis and time series forecasting, the quality of labeled data dictates

Jul 21, 2022

Data Labeling Services – Why They Matter to Our Future

For decades, science fiction writers have painted pictures of worlds where artificial intelligence (AI) and robots play a crucial role