Manju George

From Enterprise Applications to AI-Native Systems: Transforming Software with Angular, Spring Boot, and AI

Abstract:

Artificial Intelligence is redefining how enterprise applications are designed, developed, and operated. Traditional software systems have primarily relied on predefined business rules and static workflows. Today, organizations are increasingly integrating AI capabilities to create intelligent applications that can analyze data, generate insights, automate decisions, and enhance user experiences.

This keynote explores the evolution from conventional enterprise applications to AI-native systems and examines how modern technologies such as Angular, Spring Boot, microservices, and AI services can work together to build the next generation of intelligent software platforms. The session will discuss architectural patterns, AI-powered user experiences, intelligent APIs, and practical strategies for integrating Large Language Models (LLMs) and machine learning capabilities into enterprise environments.

Drawing on real-world experiences from enterprise and healthcare software development, attendees will gain insights into the opportunities, challenges, and best practices associated with AI adoption. The keynote will also address critical considerations including security, governance, explainability, and responsible AI implementation. Participants will leave with a clear understanding of how organizations can transform existing applications into scalable, secure, and future-ready AI-native systems that deliver greater business value and innovation.

Profile:

Manju George is a Staff Software Engineer at GE HealthCare based in Wisconsin, USA, with over 19 years of experience designing and developing enterprise-scale software systems across healthcare and retail industries. She specializes in enterprise application architecture, Angular and Spring Boot development, microservices, point-of-sale applications, and medical imaging technologies.
At GE HealthCare, she contributes to advanced CT imaging software, calibration workflows, intelligent healthcare applications, and scalable enterprise platforms that support clinical decision-making and imaging system performance. Her research interests include AI-native enterprise applications, intelligent cybersecurity, machine learning, cloud computing, high-performance computing, and healthcare technology innovation.

Manju is a Senior Member of IEEE, Fellow of IETE, and a SAS Eminent Fellow Member (SEFM). She serves on the Technical Program Committees and review boards of numerous international conferences in Artificial Intelligence, Machine Learning, Cybersecurity, Cloud Computing, and Emerging Technologies. She has reviewed more than 100 research papers across 22+ international conferences, contributing to the advancement of research quality and innovation in emerging technologies.

She is the author of several research publications in AI, healthcare technology, cloud computing, and enterprise systems, including work on AI-driven retail decision pipelines, multimodal healthcare analytics, and hybrid HPC architectures. She has also served as a Globee® Awards Judge for Cybersecurity and is a frequent speaker, reviewer, and contributor to international technology conferences.