DDD Blog

Our thoughts and insights on machine learning and artificial intelligence applications

Welcome to Digital Divide Data’s (DDD) blog, fully dedicated to Machine Learning trends and resources, new data technologies, data training experiences, and the latest news in the areas of Deep Learning, Optical Character Recognition, Computer Vision, Natural Learning Processing, and more.

For Artificial Intelligence (AI) professionals, adding the latest machine learning blog or two to your reading list will help you get updates on industry news and trends.

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Why Data Annotation Software Still Needs a Human Touch

"Although AI has advanced enormously over the past decade, involving humans in its development is still essential if premium results are required.

Here we take a look at how AI is trained using test data and how human-powered data annotation and data labeling adds significant value to the outcomes that AI delivers. "

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Data Bias: AI’s Ticking Time Bomb

We’ve all seen the headlines. It’s big news when an AI system fails or backfires, and it’s an awful black eye for the organization the headlines point to. Most of the time these headlines can be traced back to issues with the AI model’s training data.

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Using Aerial Imagery as Training Data

Numerous industries use satellite and aerial imagery to apply machine learning to business and social problem sets. This is a particular strength for DDD given our experience.

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Five Key Criteria to Consider When Evaluating a Data Labeling Partner

Machine learning (ML) and AI have dramatically changed the way many businesses across the globe work. As ML and AI continue to evolve, one of the biggest challenges is to ensure the quality of the data utilized by your systems.

For machine learning to work, your system needs properly labeled data. Without it, your ML model may not recognize patterns, which it needs to make decisions or perform its functions.