Vol13, Issue26, 2025
Vol13, Issue26, 2025 Read More »
Journals
Leveraging OneStream for Business Transformation: Expert Tips on Unified Data Model, Extensibility, and AI/ML Integration
As businesses seek to modernize their financial systems and drive strategic decision-making, the need for agile, scalable, and unified financial platforms has become increasingly critical. This article examines OneStream’s capabilities as a leading Enterprise Performance Management (EPM) solution, focusing on its unified data model, extensibility features, and artificial intelligence/machine learning integration. The article analyzes how
The Strategic Implementation of SharePoint in Modern Legal Practices: Enhancing Document Management, Security, and AI Integration for Law Firms
The integration of SharePoint within legal offices represents a significant advancement in how law firms manage their digital assets and streamline collaborative workflows. This article explores how contemporary legal practices leverage SharePoint’s robust document management capabilities, enhanced by metadata tagging, stringent security protocols, and AI-powered features like Copilot. This article demonstrates how SharePoint ecosystems integrated
The Transformative Impact of Artificial Intelligence on Supply Chain Management: A Contemporary Analysis
This article examines the transformative impact of Artificial Intelligence (AI) on supply chain management, focusing on four key areas: supply chain evolution, demand forecasting, warehouse automation, and logistics optimization. The article analyzes comprehensive data from global enterprises to demonstrate how AI implementation has revolutionized traditional supply chain processes. The article reveals significant improvements in operational
Smart Manufacturing: AI and Cloud Data Engineering for Predictive Maintenance
The integration of artificial intelligence and cloud data engineering has revolutionized maintenance strategies in smart manufacturing environments, enabling the transition from traditional reactive and scheduled approaches to sophisticated predictive frameworks. This article examines the transformative impact of predictive maintenance across manufacturing sectors, detailing how the convergence of Internet of Things (IoT), machine learning algorithms, and
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Designing the Intelligent Contact Center: Human-AI Collaboration in Real-Time Customer Service
The intelligent contact center represents a transformative evolution in customer service delivery, integrating artificial intelligence with human expertise to create responsive, efficient, and personalized service experiences. This technological paradigm shifts enables organizations to meet rising customer expectations while optimizing operational resources through sophisticated architectural components including intent detection engines, autonomous resolution capabilities, and risk assessment
Leveraging AI/NLP to Combat Health Misinformation and Promote Trust in Science
The proliferation of health misinformation online poses a significant threat to public well-being and erodes trust in scientific consensus. Artificial Intelligence and Natural Language Processing offer powerful tools for identifying and countering such misinformation across digital platforms. By examining techniques like concept clustering and bot detection as applied to e-cigarette discussions on social media, this
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A Machine Learning Approach to Drone-Based Crop Health Monitoring and Disease Detection
The integration of unmanned aerial vehicle technology with machine learning represents a transformative advancement in agricultural monitoring. This comprehensive review explores how drone-based multispectral imaging combined with artificial intelligence creates precision agriculture systems capable of early disease detection, stress identification, and yield prediction. High-resolution spectral data captured across multiple bands enables detection of plant health
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AIDEN: Artificial Intelligence-Driven ETL Networks for Scalable Cloud Analytics
This article introduces a novel framework for AI-driven cloud data engineering that addresses the growing challenges of scalable analytics in enterprise environments. The article presents an intelligent system architecture that leverages machine learning techniques to dynamically optimize extract, transform, and load (ETL) processes across distributed cloud infrastructures. The approach employs adaptive resource allocation, predictive scaling
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Harnessing AI and ML for Entity Resolution in Insurance Data Management
The insurance industry faces significant challenges with fragmented data environments that impede operational efficiency and customer experience. Entity resolution, the process of identifying and linking records that refer to the same real-world entities across disparate datasets, has emerged as a critical capability for addressing these challenges. This article explores the evolution of entity resolution approaches
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