Om Goel
Biographic Data
| ID | 10134233 |
|---|---|
| NAME | Om Goel |
| GIVEN NAMES | Om |
| FAMILY NAME | Goel |
| SIGNATURE | GOEL O |
| AFFILIATIONS | Institute of Management Technology |
| VERIFIED | No |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 3 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2024 |
| LATEST PUBLICATION YEAR | 2024 |
| H-INDEX | 0 |
Leveraging Machine Learning for Real-Time Fraud Detection in Digital Payments
The rapid growth of digital payment systems has significantly transformed the way financial transactions are conducted, but it has also led to an increase in fraudulent activities. Real-time fraud detection is crucial in safeguarding both users and businesses from malicious activities. This paper explores the application of machine learning (ML) techniques to detect and prevent fraud in digital payment platforms. Machine learning algorithms, due …
Green Cloud Technologies for SAP-driven Enterprises
Green Cloud Technologies are rapidly transforming the landscape of enterprise IT solutions, particularly for SAP-driven businesses. As organizations increasingly turn to cloud computing for its scalability, flexibility, and cost-efficiency, the environmental impact of traditional data centers has raised significant concerns. Green Cloud Technologies aim to address these concerns by leveraging sustainable practices, renewable energy sources, and e…
Leveraging SAP BW4Hana for Scalable Data Warehousing in Large Enterprises
In the era of big data, large enterprises face the challenge of efficiently managing and analyzing vast volumes of information to derive actionable insights. SAP BW/4HANA emerges as a powerful solution that facilitates scalable data warehousing, enabling organizations to harness their data for strategic decision-making. This paper explores the key features and advantages of SAP BW/4HANA, highlighting its capability to integrate real-time data pro…
No prominent works on this page.
Leveraging Machine Learning for Real-Time Fraud Detection in Digital Payments
The rapid growth of digital payment systems has significantly transformed the way financial transactions are conducted, but it has also led to an increase in fraudulent activities. Real-time fraud detection is crucial in safeguarding both users and businesses from malicious activities. This paper explores the application of machine learning (ML) techniques to detect and prevent fraud in digital payment platforms. Machine learning algorithms, due …
Green Cloud Technologies for SAP-driven Enterprises
Green Cloud Technologies are rapidly transforming the landscape of enterprise IT solutions, particularly for SAP-driven businesses. As organizations increasingly turn to cloud computing for its scalability, flexibility, and cost-efficiency, the environmental impact of traditional data centers has raised significant concerns. Green Cloud Technologies aim to address these concerns by leveraging sustainable practices, renewable energy sources, and e…
Leveraging SAP BW4Hana for Scalable Data Warehousing in Large Enterprises
In the era of big data, large enterprises face the challenge of efficiently managing and analyzing vast volumes of information to derive actionable insights. SAP BW/4HANA emerges as a powerful solution that facilitates scalable data warehousing, enabling organizations to harness their data for strategic decision-making. This paper explores the key features and advantages of SAP BW/4HANA, highlighting its capability to integrate real-time data pro…
Computer Science (3 works) · Analytics (2 works) · Cloud computing (2 works) · Data mining (2 works) · Agile software development (1 work) · Anomaly Detection Techniques and Applications (1 work) · Artificial Intelligence (1 work) · Artificial neural network (1 work) · Big data (1 work) · Big Data and Business Intelligence (1 work)