A Holistic Framework for Data Migration: A Four-Quadrant Approach to Transitioning from On-Premises to Cloud

Feb-2025

International Journal of Science and Research

As organizations increasingly adopt cloud infrastructure, data migration becomes a complex and critical task. A successful transition necessitates a holistic approach that balances business continuity, technical execution, data security, and compliance. This paper presents a Four-Quadrant Framework addressing Infrastructure & Architecture, Data Governance & Security, Business Continuity & Performance, and Change Management & User Adoption, enabling enterprises to optimize costs and mitigate risks for a seamless migration. Included case studies and best practices offer a structured roadmap for CIOs, IT leaders, and data architects to ensure a successful cloud migration journey.

Smart Health Companion: An App for Tracking Diagnoses and Recommending Next Steps

Sep-2024

IJCTT Journal

With the abundance of health information online and misinformation on social media, there is a need for a reliable source of health information and a way to manage medical records. This research project aims to use data science to improve public health literacy by providing trustworthy health information and allowing users to track their medical records. We plan to create a web and mobile dashboard where users can enter their medical details, set reminders, monitor their health progress, and record prescriptions. This project involves collaboration across fields such as Computer Science, Psychology, Healthcare, and Communication. We expect the results to guide future application development and help create user testing materials for data collection.

Agentic AI in the Age of Hyper-Automation

Feb-2023

World Journal of Advanced Engineering Technology and Sciences

This article looks at changes in hyper-automation related to Agentic AI. It focuses on the rise of self-governing AI systems, which allow industries to function with less human involvement. The analysis of Agentic AI in hyper-automated environments includes its role, challenges in implementation, and ethical concerns. Examples from logistics, manufacturing, and energy use both data and case studies to show how these technologies boost productivity, cut costs, and enhance decision-making. While there are benefits like faster delivery and better sustainability, there are also concerns about algorithm transparency and job loss. The article calls for ethical guidelines and policies to address these issues as Agentic AI continues to grow and gain acceptance in society.

Serverless architectures for agentic AI deployment

Dec-2025

World Journal of Advanced Engineering Technology and Sciences

This paper discusses ways to enhance scalability, cost, and flexibility in serverless architectures using agentic AI deployment. With its event-driven and pay-as-you-go model, serverless computing is ideal for deploying agentic AI systems due to its flexibility. The research objectives include evaluating serverless platforms, analyzing their case applications, and creating a practical methodology for real-world application. This methodology utilizes case studies, comparative analysis, and evaluation metrics to assess the advantages of serverless computing for AI workloads. Key findings highlight improved latency, cost savings, and operational flexibility. These insights are relevant for businesses, developers, and cloud providers focused on AI deployment. The research concludes that integrating serverless architectures with agentic AI fosters innovative deployment opportunities for AI.