Over the last decade, automation technologies have become generally ubiquitous across almost every sector and field. A 2019 study co-led by The Economist Intelligence Unit found that more than 90% of private-sector organizations around the globe are replacing manual tasks with machine-operated ...
The ubiquity of connectivity, increasingly portable and robust computing power, and more attentiveness put to security measures like dual authentication and biometric logins have fueled a corporate shift that has big cultural and economic implications. Organizations are embracing a flexible telew...
In 2014, a federal agency approached NT Concepts with a request to help them transition from a paper to a digital environment. In particular, the Agency was seeking to digitize its vast paper files and modernize its processes for handling the ever-growing workload.
In this case study, we’ll discu...
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...
As we pointed out in the introduction to this blog series, Enabling Missions Success with RPA, AI, and Common Sense, data is the “central, fundamental component of every program.” Public and private organizations are striving to manage the onslaught of input and documents in a rapidly changing op...
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 Artificial ...
It is widely accepted that human cognition is fallible and vulnerable to a wide range of cognitive biases. One could even argue that motivation for incorporating Machine Learning (ML) into business processes is to help mitigate some of these biases. ML algorithms, however, are like any other te...
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...
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...
National Security innovator to provide agency-wide information technology service design solutions
Vienna, VA, Feb 28, 2019—NT Concepts, a leading provider of advanced enterprise IT solutions, was awarded the Defense Threat Reduction Agency (DTRA) Indefinite-Delivery/Indefinite-Quantity (IDIQ)...
