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Year: 2021

how_ai_companies_can_leverage_managed_workforce_providers_to_boost_training_data_operations

How AI Companies Can Leverage Managed Workforce Providers to Boost Training Data Operations

Thought process to discount the use of external workforce for data labeling by technology leaders at any AI/ML company could often be clouded by skewed judgment of having better data processing outputs in-house. On the contrary most use cases could see…

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Blog-1_Data-Tools-2

AI solutions for Pets and Wildlife

The world’s total population of African Elephants decreases by one every 15 minutes. Africa’s illicit poaching trade has made the future of elephants unclear. From a massive population of more than 2 million, the last 100,000 African elephants alive today are…

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Blog-2_Labeling-Partner

Key Factors to find synergy with Labeling Partner

The cloud around Data Labeling and Annotation Partners When we think about AI and Machine Learning, we naturally tend to think of self-driving cars, delivery drones, robot-assisted precision surgeries, and all the technological innovations that have been doing the rounds lately….

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Blog-1_Data-Tools-2

Choosing the right Data Annotation Tool

Since the performance of your ML model is as good as the data that trains it, understanding the tools used for annotating this data becomes especially important. These tools determine the quality of the data and can have implications on the…

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