Customer Case Study – AWS SageMaker
The Customer.
The customer is a homeland security government agency, tasked with supervising and managing procedures concerning citizens, including protocols for entry, residency, and documentation for individuals arriving or living in the country.
The Problem.
The federal agency was looking for a cloud native solution to enhance citizen experience via the agency customer service and online account portal.
The Challenge.
The agency had requirements to improve overall customer experience and support through their online portal. In addition to the customer facing enhancements, the agency needed a solution that would allow them to better identify and prevent fraud, provide robust data analytics for actionable decisions, assist with continuous improvement and automation.
The Solution.
Govplace proposed an AWS SageMaker solution to meet the customer’s requirements and desired outcomes. By leveraging AWS SageMaker, the agency’s customer service and online account portal would enhance its effectiveness, responsiveness, and security while providing citizens with a more personalized and efficient user experience. Machine learning and AI-driven capabilities can empower them to better meet citizen needs and expectations while optimizing operational efficiency.
The Results.
As a result of this agency leveraging the AWS SageMaker solution they’ve achieved the following results and benefits
- Utilize machine learning models for predictive analytics
- Create personalized user experience
- Automation of tasks and processes
- Built fraud detection models
- Extract actionable data insights
- Continuous improvement