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 10, 2025
The Modular Pipeline: Solving Key Challenges in AV Perception
In 2022, the global autonomous vehicle (AV) market was valued at USD 1.5 trillion. By 2030, it is projected to
Dec 5, 2025
Understanding Model Drift in ML Systems
Machine learning systems live in a changing environment. An ML system trained up and ready to go may give great
Dec 4, 2025
Why Gold Standard Evaluation Sets Are the Key to Reliable Enterprise AI Evaluation
Enterprises rely more than ever on AI to make decisions, automate tasks, and improve efficiency. However, even the most advanced
Dec 1, 2025
What is Financial Data Annotation?
Financial institutions process millions of data points daily, from transaction records and market feeds to loan applications and compliance documents.
Nov 27, 2025
Ango Hub Copilot: Bringing Intelligent Assistance Into Annotation Workflows
Discover how Ango Hub Copilot accelerates annotation workflows with AI assistance, schema-aware guidance, and human-in-the-loop control.
Nov 24, 2025
Model Evaluation in Machine Learning: Key Metrics and Techniques
Machine learning models are only as good as their ability to perform reliably in real-world scenarios. The true measure of
Nov 24, 2025
Building and Labeling High-Functioning Datasets for Your Model
There’s something we need to get off our chest, and it isn’t easy for us to say: optimizing datasets can
Nov 22, 2025
Driving Innovation: How Data Annotation Powers the Future of Autonomous Mobility
Today, a majority of automobile manufacturers (Tesla, GM, Ford, BMW, Toyota, PSA, Renault-Nissan) and companies such as Waymo, Uber, NuTonomy
Nov 20, 2025
RLHF vs RLAIF: How Do They Differ?
AI models undergo extensive fine-tuning to bridge the gap between raw computational power and real-world application requirements. While LLMs, LVMs,
Nov 12, 2025
Why Data Quality Is Critical for AI Commercialization
This blog delves into the state of MLOps in 2023, and explains how the quality of training data can make or break your AI initiatives.
Nov 12, 2025
From Subjective to Computable: Turning Quality into Code with a Quality Rubric
Building high-quality labeled datasets is one of the most complex aspects of creating reliable AI systems. This is especially true
Nov 8, 2025
Adversarial Prompt Generation: Building Safer AI with Human-in-the-Loop Oversight
AI systems are becoming more powerful, but also more vulnerable to manipulation. One growing challenge is adversarial prompt generation. It
Nov 4, 2025
The Role of Ango Hub in Scaling Red-Teaming for Generative AI
The rapid adoption of Generative Artificial Intelligence (GenAI) is driving companies to accelerate their implementation of AI governance to reduce
