Mission Readiness with Machine Learning and PHM: Failure is not an Option

Federal agencies understand that the health of their large-scale equipment is mission-critical. From fleets of machinery to military installations to aerospace, success often depends on ensuring the mission is not impacted by costly asset downtime and extending the life of the assets supporting...

Enabling Missions Success with RPA, AI, and Common Sense

Moving from paper to digital to enhance the mission Government agencies have begun to make significant strides in their paperless journey. NT Concepts performs in the customer’s reality, then collaboratively designs and implements solutions like Robotic Process Automation (RPA) and Artificia...

The [Hidden] Challenges of ML Series: Quadrant 4 Inference & Deployment

If you haven’t read through the first three quadrants of Machine Learning (ML) Lifecycle series yet, we encourage you to take a moment to familiarize yourself with the building blocks of  AI/ML project design, data preparation, and model fitting. Once the team reaches the Inference and Deploym...

The [Hidden] Challenges of ML Series: Quadrant 3 Model Fitting

Even though the bulk of the work happens during the data preparation and labeling phase in quadrant two, model fitting constitutes the meat and potatoes of Machine Learning (ML). This third phase of the ML Lifecycle is iterative and slow—a full training run may take days or even weeks. Early vers...

The [Hidden] Challenges of ML Series: Quadrant 2 Data Preparation

The large volume of available data has spurred a surge in Machine Learning (ML) projects. In the first blog post in the Hidden Challenges of Machine Learning Lifecycle series, we looked at the complexity of clarifying the question to be solved with ML and the process of designing the project, inc...

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...