AI Builder Use Cases
Introduction In recent years, Artificial Intelligence (AI) has transitioned from a futuristic concept to an essential tool in the business world. Microsoft’s AI Builder for Dynamics 365 enables organizations to….
Tag: fraud detection
Not segregating duties
Not Segregating Duties: The Risks, Implications, and Strategies for Effective Implementation Introduction In modern organizations, segregation of duties (SoD) is one of the most important aspects of internal controls. It….
Banking customer self-service portal
A Banking Customer Self-Service Portal built using Power Pages allows banking customers to access and manage their accounts, perform transactions, and interact with services, all from a secure online interface…..
AI-driven fraud detection in XR banking
1. Introduction: The New Frontier of Financial Fraud As banking migrates into Extended Reality (VR/AR/MR) environments, fraudsters are developing sophisticated attacks targeting: AI-powered fraud detection systems are becoming essential to….
How Companies Use Big Data for Decision-Making
Big Data has become a cornerstone of modern business strategy, enabling companies to make data-driven decisions. Here’s how companies leverage Big Data for decision-making: 1. Customer Insights 2. Operational Efficiency….
Healthcare Analytics
Healthcare Analytics: A Comprehensive Guide Healthcare analytics is the systematic use of data, statistical analysis, and predictive modeling to improve patient outcomes, reduce costs, and enhance healthcare efficiency. It incorporates….
Hadoop Ecosystem Overview
Hadoop Ecosystem Overview: A Comprehensive Guide Introduction to Hadoop Apache Hadoop is an open-source framework designed to store and process massive amounts of data in a distributed and scalable manner…..
Autoencoders for Anomaly Detection
Autoencoders for Anomaly Detection: A Detailed Overview Autoencoders are unsupervised neural network models used for data compression and reconstruction. They have become a highly effective tool in anomaly detection tasks,….
DBSCAN Clustering
DBSCAN Clustering: A Comprehensive Guide 1. Introduction to DBSCAN DBSCAN (Density-Based Spatial Clustering of Applications with Noise) is an unsupervised machine learning clustering algorithm that groups together points that are….
K-Means Clustering
K-Means Clustering: A Comprehensive Guide 1. Introduction to K-Means Clustering K-Means Clustering is an unsupervised machine learning algorithm used for grouping similar data points into clusters. It aims to partition….