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.
May 11, 2023
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.
Jan 28, 2021
Software Creates Demand for Data Labeling Services When done right, this approach lets users more easily develop AI models and
Jan 20, 2021
As Artificial Intelligence continues to boom, improved technologies for data labeling and annotation are on the rise. From robotic perception
Jan 11, 2021
The applications of Artificial Intelligence will continue to explode in the new decade ahead, and data annotation solutions will support
Jan 5, 2021
Much of the local, regional, and federal government focus on mining-related geospatial data analysis remains focused on environmental remediation and
Jan 5, 2021
The most effective data annotation teams succeed through highly scientific, systematic processes – but present throughout is the steady hand
Jan 5, 2021
Geospatial data analysis by its very nature lends itself to solving Big Problems: drought mitigation aimed at preventing mass starvation,
Jan 5, 2021
How do geospatial data annotation projects begin and – most important – how are they guided to a successful conclusion?
Dec 15, 2020
I have long believed that technical success and financial success go hand in hand. In my earlier blogs, I talked
Dec 8, 2020
Experience suggests AI companies are always more successful when they work with a labeling services provider that collaborates with other
Dec 8, 2020
Today, most agree AI is a key enabler in the expanding pursuit of business value. We have started the journey
Nov 30, 2020
Retail investment in machine learning AI algorithms falls into two general buckets nowadays, the customer experience bucket, which is a
Nov 30, 2020
Expert-annotated ground truth data will remain the bedrock of AI imaging for the foreseeable future. But if the supply of