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.

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Jan 20, 2021

Top 5 Data Annotation Tooling and Workflow Trends For 2021

Learn more about how data labeling providers are keeping up with growing demand by strategically providing accurate and efficient tooling options to the customer.

Jan 11, 2021

Top AI Trends and Data Annotations for 2021

Read more about the top ways in which AI will drive innovation across industries in 2021 and beyond.

Jan 5, 2021

Environmental Initiatives And An All-important Minerals Census

Read more about USGS’s goal to develop a national-scale, geospatial database of the most important mines and mineral districts of the United States.

Jan 5, 2021

How Art and Science Intersect On The iMerit Solutions Team

Read more about how iMerit’s Solution team collaborates with the client’s team to provide accurate and efficient data for machine learning.

Jan 5, 2021

Geospatial Data, Detailed Annotation, Analysis: Preventative Planning and Postmortems

Learn more about challenges that geospatial data analysts are facing and how to mitigate those challenges using machine learning.

Jan 5, 2021

Quality Matters: An Engagement Review of Semantic Segmentation for Crops, Weeds

Read more about the combination of art and science that goes into data annotation methodology for a semantic segmentation workflow of a field crop.

Dec 15, 2020

The Importance of Data Labeling Quality to Your AI Effort

Find out more about the importance of quality of data labeling for your AI program, including both technical and financial aspects.

Dec 8, 2020

Why A Solutions Approach And Partnership Orientation Makes AI Sense

Find out how a partnership orientation and solutions approach brings flexibility, power, and productivity to data annotation workflows.

Dec 8, 2020

Bringing a Solution-Oriented Approach to AI

Read more about importance of getting value from AI solutions, both with AI training and operations, by creating metadata or labeling data.

Nov 30, 2020

How AI Investment in Retail Works And Where iMerit Comes In

Learn more about how retail investment in AI algorithms fall into two categories - customer experience and e-commerce operations.

Nov 30, 2020

How iMerit Approaches Medical AI Curriculum Design

Read how iMerit designs its medical labeling curriculum in close consultation with clients, to develop general skills and specific competencies.

Nov 9, 2020

Federal Agencies Learn to Embrace AI

Learn how federal agencies are using AI to improve decision-making. Agencies, under Chief Data Officers, are working to make data accessible and to develop policy.