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.
Feb 7, 2024
iMerit’s 10-Year Anniversary Celebration
Celebrate iMerit's 10-year journey with Radha Basu, leading a revolution in responsible AI and inclusive workforce. From dream to reality, join the global impact of a technology-driven AI Data Solutions company.
May 18, 2021
A Letter From iMerit
Dear Friends, Many of you have reached out asking about the serious COVID-19 situation in India and the wellness of
May 6, 2021
Insurance Processes Made Easy Using Machine Learning
AI and Machine learning is being applied to multiple aspects of insurance practice since the industry is full of bottlenecks
Apr 29, 2021
Encoding Human and Machine Knowledge for Machine Learning
Encoding transforms information from one representation to another. When we write, we encode our words or thoughts as scribbles on
Apr 22, 2021
Edge Cases Drive Demand and Create New Opportunities
Developers in the early phases of their AI application lifecycle often use a “Goldilocks approach”, also known as the “just
Apr 20, 2021
Future of Autonomous Technology
Today, the data and Machine Learning algorithms of autonomous technology for applications including object detection, localization and path planning are
Apr 20, 2021
Using a Data-centric Approach to Improve Machine Learning Models
Andrew Ng, the AI pioneer and technology entrepreneur, is a man on a mission. He recently spoke about how the
Apr 15, 2021
The Three Edge Case Culprits: Bias, Variance, and Unpredictability
Through training, machine learning (ML) systems learn to recognize patterns by associating inputs (e.g., pixel values, audio samples, text) to
Apr 6, 2021
Powering Driverless Cars with Data Annotation
Today, a majority of automobile manufacturers (Tesla, GM, Ford, BMW, Toyota, PSA, Renault-Nissan) and companies such as Waymo, Uber, NuTonomy
Mar 29, 2021
How Noisy Labels Impact Machine Learning Models
Supervised Machine Learning requires labeled training data, and large ML systems need large amounts of training data. Labeling training data
Mar 8, 2021
How iMerit’s #WomenInData have Adapted to Remote Work
Working women usually have to juggle multiple tasks of the workplace and home. Even before the coronavirus pandemic, women did
Mar 3, 2021
Data Annotation for AI Applications In Healthcare
From diagnostic assistance to patient engagement, AI in healthcare is proving beneficial for patients and healthcare professionals alike by increasing
Jan 28, 2021
How Salesforce Is Packaging AI into Their Product
Software Creates Demand for Data Labeling Services When done right, this approach lets users more easily develop AI models and
