Developing AI/ML-enabling Ecosystems

“DOD points to ride-sharing service Uber as an analogy to describe its desired end state for JADC2. Uber combines two different apps—one for riders and a second for drivers. Using the respective users’ positions, the Uber algorithm determines the optimal match based on distance, travel time, an...

The [Hidden] Challenges of ML Series: Quadrant 1 Project Design

As a Ph.D. computer and data scientist, systems and software engineer, applied statistician, and engineering fellow, I have worked on multiple large-scale Artificial Intelligence (AI) and Machine Learning (ML) projects for more than 30 years. Through that extensive experience, I have seen that cr...

The [Hidden] Challenges of Machine Learning: A Five Part Series

Artificial Intelligence (AI) and Machine Learning (ML) are a thing. They are here and here to stay. The NT Concepts Data Science Team is hard at work applying differentiating methods and models to complex data sets for our federal customers. We try our hands at everything from computer vision and...