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.
Jun 17, 2026
How iMerit Won the CVPR 2026 Auto Annotation Challenge
iMerit placed 1st at CVPR 2026 Auto3D Challenge, outperforming 11 teams with a no-3D-label pipeline using SAM 3, CLIP, and LoRA adaptation.
Sep 7, 2022
Role of Automation in Complex Data Annotation: Key Takeaways
Learn how automation and humans-in-the-loop combine to build a more productive and efficient process of data annotation.
Sep 7, 2022
Why it’s Time to Adopt AIOps for Business: Key Takeaways
Explore the need for AIOps, its advantages and the several ways that enterprises are using AIOps today.
Sep 1, 2022
Understanding Model Uncertainty in Machine Learning
Discover the importance of understanding model uncertainty in machine learning. Learn how it impacts model predictions and performance.
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
Learn the most important aspects to optimize your data labeling or data annotation process and scale quickly.
Jul 21, 2022
Data Labeling Services – Why They Matter to Our Future
Learn how data labeling is critical to the advancement of machine learning and AI in a variety of industries and use cases.
Jul 12, 2022
Leveraging AI to Prepare for Pandemics: Key Takeaways
Explore how technologies like artificial intelligence (AI) can help prepare for future pandemics and prevent the spread of infectious diseases.
Jul 12, 2022
How AI is Transforming the Future of HR: Key Takeaways
Explore how artificial intelligence can be used within hybrid workplaces and what challenges organizations face when adopting AI.
Jul 12, 2022
Mapping Cities to Power Autonomous Mobility: Key Takeaways
Learn why high-definition maps are important for autonomous vehicles' navigation and the current status of mapping capabilities.
Jul 4, 2022
ML Training Data for GIS Applications: Key Takeaways
This blog discusses geospatial applications for the private and public sector and the future of data solutions for geospatial intelligence.
Jun 21, 2022
Former U.S. Chief Data Scientist DJ Patil and Radha Basu on AI for Societal Applications
Learn how to scale ML projects throughout the project lifecycle, and the importance of curiosity and positive company culture for creating successful ML applications.
