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….
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….
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….
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…..
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….
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: 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: 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: 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: 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: 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….