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.

Sep 7, 2022

Why it’s Time to Adopt AIOps for Business: Key Takeaways

Artificial intelligence operations (AIOps) and machine learning operations (MLOps) are new subjects and often used interchangeably. AIOps, as defined by

Sep 1, 2022

A Comprehensive Introduction to Uncertainty in Machine Learning

Uncertainty refers to the lack of confidence for each output of a machine learning algorithm. While it’s impossible to create

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

For supervised learning applications such as image recognition, sentiment analysis and time series forecasting, the quality of labeled data dictates

Jul 21, 2022

Data Labeling Services – Why They Matter to Our Future

For decades, science fiction writers have painted pictures of worlds where artificial intelligence (AI) and robots play a crucial role

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 5, 2022

Staying Ahead of Drift in Machine Learning Systems

Like the rest of us, machine learning systems live in a changing environment. An ML system trained up and ready

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

At the iMerit ML Data Ops Summit, iMerit CEO Radha Basu was joined by former White House Chief Data Scientist