-
Predictive Models for Power Outage Management using Machine Learning Pipelines
Power outages can have significant social, economic, and operational impacts. Predictive models driven by machine learning (ML) can improve outage management by identifying risks and patterns from historical data and environmental factors. This manuscript explores a…
-
Pricing Optimization in SAP: The Role of Machine Learning and Predictive Analytics
Pricing optimization is crucial for enterprises striving to stay competitive and profitable in dynamic markets. SAP systems, known for streamlining business processes, are increasingly integrating advanced technologies like machine learning (ML) and predictive analytics to enhance…
-
Multi-Tenant Serverless Pipelines: Optimizing Energy and Latency Trade-offs
Serverless computing is transforming the landscape of cloud computing by enabling developers to deploy applications without worrying about infrastructure management. However, the increasing demand for multi-tenant serverless architectures introduces new challenges in balancing energy consumption and…
-
AI-Enhanced Resource Allocation for Energy-Efficient Event-Driven Systems
In today’s hyperconnected world, event-driven systems are widely adopted across multiple sectors for real-time processing. Efficient energy consumption is becoming a critical design concern for such systems, especially with the exponential growth in events and the…
-
Optimization of Cloud Service Deployment Across Multicloud Platforms
— Cloud computing has become an essential part of modern IT infrastructure, with organizations increasingly relying on cloud service providers (CSPs) for scalability, flexibility, and cost-effectiveness. However, as businesses adopt multicloud strategies to mitigate vendor lock-in…
-
Advanced Power System Analysis Using Azure Data Factory and Synapse
This manuscript delves into the potential of Microsoft Azure’s Data Factory and Synapse Analytics in transforming power system analysis. Traditional power systems encounter challenges like complex data management, high latency, and fragmented insights. With the advent…
-
Comparative Analysis of Pricing Models in SAP Across Different Industries
SAP pricing models play a crucial role in streamlining business processes across diverse industries, offering tailored solutions to manage prices, discounts, and taxes. This study compares the efficiency, flexibility, and adaptability of various SAP pricing models…
-
Strategies for Seamless Migration from Legacy Systems to Cloud-Based Architectures
The shift from legacy systems to cloud-based architectures has become essential for organizations seeking agility, scalability, and cost efficiency. However, the migration process presents challenges, including data loss risks, downtime, and business disruptions. This paper explores…
-
The Impact of AI-Driven Analytics on Oracle HCM-Payroll System Optimizations
The integration of Artificial Intelligence (AI) and data analytics into human resource management systems, particularly within Oracle Human Capital Management (HCM) and Payroll systems, has introduced substantial transformations in the efficiency, accuracy, and scalability of payroll…
-
AI-Driven Energy Optimization Algorithms in Datacenters Using Azure Cloud
Pronoy Chopra University Of Oklahoma Norman, OK 73019, United States, Abstract Data centers have become critical for modern enterprises, but they also contribute significantly to energy consumption, impacting both operational costs and the environment. AI-driven algorithms…