Vikramrajkumar Thiyagarajan

Medline Industries · Finance

Abstract: The Medical Fluid Monitoring IoT Device addresses critical challenges in intravenous (IV) therapy by integrating IoT technology for real-time monitoring and automation. IV therapy, a cornerstone of medical treatment, requires precise control to prevent complications such as renal impairment and fluid overload. Current methods, which rely...

The nature of the contemporary financial environment suggests that there has been a relevant necessity for increasing efficiency and enhancing the accuracy and timeliness of consolidation processes. Some of the conventional consolidation techniques involve several manual steps and different systems for managing the information and thus cannot meet...

Revenue forecasting is a critical function for organizations, facilitating strategic planning and informed decision-making. Traditional forecasting methods often fall short in capturing complex patterns within financial data. Oracle Enterprise Planning and Budgeting Cloud Service (EPBCS) offers robust planning and budgeting capabilities, yet its pr...

In the current dynamic business environment, the use of AI as part of BI has emerged as a key determinant of the competitiveness of a firm. This paper is aimed at discussing the possibilities of using AI for the modernization of traditional BI models to support more efficient data analysis, better forecasting, and faster decision-making in organiza...

In today's world, where the business environment changes every day, AI, together with BI, changes the decisionmaking process. This paper delves into the role and impact AI is having on traditional business analytics through BI that is driven by AI and what new concepts it brings to traditional business analytics, including accurate and real-time in...

This research paper explores the integration of Artificial Intelligence (AI) and Machine Learning (ML) models into Oracle Planning and Budgeting Cloud (PBCS) system to enhance forecasting accuracy and optimize scenario planning. The study investigates how predictive analytics and real-time data processing can be leveraged to automate and improve fi...

This paper presents recent progress in machine learning techniques to extend integration between Oracle Enterprise Performance Management (EPM) and Enterprise Resource Planning (ERP) systems. Based on an extensive review of existing challenges in the current integration and newly developed technologies within ML, it proposes new strategies in autom...