Session Type
Breakout Session
Name
Real-Time Social Security: Leveraging Apache Kafka and Flink for Efficient Benefits Disbursements
Date
Wednesday, March 19, 2025
Time
4:00 PM - 4:45 PM
Location Name
Zinnia
Description

Imagine a social security system that's faster, fairer, and more compassionate. A system where benefits are disbursed in real-time, fraud is detected before it happens, and eligibility verification is accurate and efficient. This isn't just a vision – it's a reality made possible by harnessing the power of real-time data streaming technologies like Apache Kafka, Apache Flink, and cloud-based data platforms. This talk will explore the transformative potential of real-time data streaming in social security. Discover how this technology can: - Accelerate benefit disbursement using Apache Kafka's event-driven architecture, ensuring timely support for those in need - Proactively detect and prevent fraud using Apache Flink's real-time processing and machine learning capabilities, protecting the integrity of the system - Enhance eligibility verification using cloud-based data platforms, reducing errors and overpayments - Personalize benefits using real-time data analytics, tailoring support to individual needs Through real-world examples and case studies, we'll demonstrate the power of real-time data streaming to create a more equitable, efficient, and effective social security system. Don't miss this opportunity to revolutionize the future of social security.

Venkata Kalyana Chakravarthy Bitragunta
Level
Intermediate
Target Audience
Architect, Developer, Executive (Technical)
Industry
Government, Technology
Tags
Apache Flink, Apache Kafka, Operations, Stream Processing, Systems