Novetta is using deep learning to automate advanced analytic pipelines for our customers. These new capabilities identify important pieces of information across large text, image, and video data sets, a challenge faced by many of our Defense and Intelligence Community customers. We developed Argo, a standardized, Docker-based model training and deployment pipeline, to enable rapid evaluation and deployment of state-of-the-art deep learning models. Argo enables models to be deployed as endpoints and, when used with Amazon SageMaker, it forms the foundation for us to deploy, scale, and manage our deep learning models. Simplifying infrastructure setup through Docker and AWS allows…
Training an ML Model on the Show Floor: Rapid Prototyping at AWS PSS
AWS PSS attendees interact with Novetta’s Machine Learning Prototype demo on the show floor. Introduction In our previous blog post, Sharpening the Edge with IoT, ML, and Homomorphic Encryption, we discussed our prototype application with the following functionality: Identify when a simulated license plate (alphanumeric characters on a white card) appeared in a live video stream Extract text from the license plate card using Amazon Rekognition Securely search an encrypted watchlist for this text Return any matches to the user Novetta and Enveil demonstrated this prototype at AWS Public Sector Summit, June 11-12. This blog post is an…
Sharpening the Edge with IoT, ML, and Homomorphic Encryption
An interactive demo at AWS Public Sector Summit • Washington, D.C. June 11-12
Edge compute capabilities are central to many of our customers’ missions, and are only growing in importance. For complex workloads like field forensics or digital media triage, we are seeing an increasing need to use machine learning models to process data where it is being collected. Novetta is pairing our advanced analytics, machine learning, and IoT capabilities with Enveil’s ZeroReveal™ technology through a strategic alliance. Using homomorphic encryption, Enveil’s technology allows sensitive information to be securely processed in unsecure environments, allowing data to be searched or analyzed while it is still encrypted. The data security startup’s core technology was developed…
