-
Cost Reduction Strategies in Retail: Implementing AI-Driven Demand Forecasting for Inventory Optimization
The retail industry is undergoing a transformative shift as artificial intelligence (AI) is increasingly integrated into strategic operations. This paper examines cost reduction strategies in retail by implementing AI-driven demand forecasting to optimize inventory management. Through…
-
Optimizing retrieval augmented generation pipelines for domain specific applications
Retrieval Augmented Generation (RAG) pipelines have emerged as a transformative approach in integrating external knowledge into generative models. However, tailoring these systems to domain-specific applications presents unique challenges, including the handling of specialized vocabularies and intricate…
-
Edge AI vs Cloud AI: A Comparative Study of Performance Latency and Scalability
The increasing need for real-time decision-making and low-latency processing in AI applications has created interest in the comparative study of Edge AI and Cloud AI. Cloud AI, with its high computational power and scalability, has been…
-
Generative AI in Multimodal Learning: Integration of Vision, Text and Audio for Advanced Human-Computer Interaction
Vinay Kumar Gali Nagarjuna University NH16, Nagarjuna Nagar, Guntur, Andhra Pradesh 522510 Er. Shubham Jain IIT Bombay Main Gate Rd, IIT Area, Powai, Mumbai, Maharashtra 400076 India Abstract This study investigates the integration of generative artificial…
-
Vol. 13, Issue 03, March 2025
PUBLISHED: 2025-02-28 Original Research Article Generative AI in Multimodal Learning: Integration of Vision, Text and Audio for Advanced Human-Computer Interaction Vinay Kumar Gali1 & Er. Shubham Jain2 DOI: https://doi.org/10.63345/ijrmeet.org.13.3.1 Download PDF 1-12 Edge AI vs…
-
Integrating Blockchain for Enhancing Data Integrity in Cloud-Based ETL Processes
In today’s data-driven era, cloud-based ETL (Extract, Transform, Load) processes are integral to business intelligence and analytics, yet they are susceptible to data integrity issues stemming from centralized management and potential tampering. This abstract explores an…
-
Building Custom Connector Frameworks for Enterprise Data Integration
In today’s enterprise landscape, seamless data integration across various systems is crucial for enhancing operational efficiency and enabling data-driven decision-making. Traditional data integration methods often fall short in addressing the unique requirements of modern enterprises, especially…
-
BigQuery for Large-Scale Data Warehousing: Performance Tuning and Optimization Techniques
Google BigQuery has been a robust, serverless data warehousing platform capable of managing large-scale data analytics. As more companies move towards using BigQuery for their analytics load, the importance of performance tuning and optimization methodologies has…
-
DevOps Implementation and Continuous Delivery: Measuring the Impact on Software Quality and Time-to-Market
Adoption of DevOps and continuous delivery (CD) has revolutionized the software development life cycle by ensuring collaboration, automation, and streamlining of processes. This paper discusses the impact of DevOps practices and CD on software quality and…
-
The Role of HMI in Process Control and Monitoring
Human-Machine Interface (HMI) systems play a crucial role in process control and monitoring, serving as the intermediary between operators and the industrial processes they oversee. HMIs facilitate real-time monitoring, data visualization, and control over complex processes,…