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AI/ML

AI/ML

Artificial Intelligence (AI) refers to the simulation of human intelligence in machines to solve problems such as visual perception, speech recognition, etc. Machine Learning (ML) focuses on the development of algorithms and models that enable computers to learn from and make predictions or decisions based on data. 

 

Within AI, Natural Language Processing (NLP) has enormous applications for federal agencies, and has terabytes of unstructured text in the documents and policies, to automate several manual tasks like reviewing documents and deciphering information in hand-filled forms.  

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Benefits

Automation & Efficiency is achieved by automating repetitive and time-consuming tasks, enabling businesses to achieve greater operational efficiency. 

 

Enhanced Security can bolster cybersecurity efforts by identifying and mitigating potential threats in real-time, for example: detecting anomalies, monitoring network traffic, etc. 

 

Cost Reduction: Automation of tasks leads to significant cost savings for agencies by eliminating manual labor and streamlining operations and reducing operational costs. 

Hyper personalization is delivered by analyzing customer behavior, preferences, and historical data leading to relevant recommendations for the customers. 

 

Data-driven decision-making: AI/ML enables agencies to extract meaningful insights from large, complex, and disparate datasets.  

 

 

Improved Healthcare and Disease Diagnosis: AI and ML can analyze medical records, patient data, and diagnostic images to assist in disease diagnosis, identify treatment options, and predict patient outcomes.  

Federal Project Impact 
FDA Foreign Inspection Planning and Scheduling System (FIPSS) 
HUD Quality Assurance and Integration and Configuration Services (QAICS) 
FEMA Data Exchange (FEMADex) 

Implemented end-to-end DevSecOps pipeline for containers at FDA OIMT. 

  • Containerization-as-a-Service (CaaS) using Kubernetes, reducing up-front cost, total cost of ownership, and time to release. 

  • CI/CD pipeline using Jenkins, promoting DevOps practices and continuous integration. 

Implemented DevSecOps to provide HUD with CI/CD services and infrastructure innovation.  

  • Implemented agency-wide CI/CD capability shared across 25+ projects with 200+ developers.   

  • Deploy new functionality within hours to the development, test, and production environment. 

Implemented DevSecOps to provide FEMA with CI/CD services for data analytics platform. 

  • Implemented automated workspace management to provision personal or team workspace on-demand suitable for analysts and scientists. 

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