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.
Jan 20, 2022
Radha Basu on Analytics Insight Podcast: Key Takeaways
Radha Basu, the Founder and CEO of iMerit, discusses ML DataOps and how to effeciently handle edge cases in AI in her podcast with Analytics Insights.
Jan 17, 2022
Advancing AI Starts with Strategic ML DataOps: Key Takeaways
iMerit CEO, Radha Basu provides critical insights into the 3 key elements required to successfully deploy AI in her article on CIO Review.
Jan 13, 2022
This is How You Scale Your Data Pipeline
AI experts from SambaNova Systems, Raven Applied Technologies discuss how RPA combined with Humans-in-the-Loop helps companies scale their data pipeline.
Jan 8, 2022
Looking for a Data Annotation Tool? Here’s How To Select One.
Explore the key features of different data annotation tools based on data types, and criteria to consider when evaluating labeling tools.
Jan 6, 2022
Data on the Edge with Deepen: Key Takeaways
Explore where in the ML DataOps cycle does Deepen AI provide value, edge case examples which the platform could overcome, and the state of LIDAR in the near future.
Jan 5, 2022
Want a Better Data Loop? Try Humans.
In a chat with Facebook AI’s Ragavan Srinivasan, Cruise’s Head of AI Hussein Mehta discusses the best practices in deploying and improving autonomous vehicle performance.
Jan 3, 2022
10 Ways to Perform Regression in Machine Learning
There are many types of regression machine learning algorithms, all of them supervised learning-based. Learn more about 10 of the most popular ones.
Dec 24, 2021
Mining Data with ML and AI for Healthcare: Key Takeaways
Learn about data mining and the significance of technologies such as machine learning and artificial intelligence in the healthcare industry.
Dec 24, 2021
Better ML Demands Better Data Labeling: Key Takeaways
Ivan Lee, CEO of Datasaur, and Jai Natarajan, VP of Business Development at iMerit, explain the need of effective data labeling for ML models in an article for Datanami.
Dec 24, 2021
DataOps, The Future of Healthcare Automation: Key Takeaways
iMerit’s Director of Medical AI, Sina Bari M.D. provides some critical insights into the importance of DataOps in the future of healthcare automation in his article on ET Healthworld.
Dec 24, 2021
Building A Robust ML DataOps Ecosystem: Key Takeaways
iMerit Founder and CEO, Radha Basu discusses the three pillars of ML DataOps – people, technology, and processes; and what an ideal DataOps ecosystem player looks like.
Dec 15, 2021
2022 Will be the Year of ML Data Ops
Explore the three components through which enterprises can guarantee a scalable ML data pipeline that will yield optimal model performance.
