Firms that fail to shine light on their dark data risk ceding the high ground in insights and inviting risk exposures lurking ...

The impressive achievement of Tianjiu Boss Cloud is attributed to Tianjiu Shared's continuous investment in the AI field and ...

Beyond digital transformation (DX), the era of "AI Transformation (AX)"?where artificial intelligence (AI) becomes the core ...

Agile rituals are great, but without tracking constraints and dependencies live, your transformation will stall.

Sethupathy, U. (2025) Risk-Aware AI Models for Financial Fraud Detection: Scalable Inference from Big Transactional Data.

The solution for 2025 is to build an AI-driven precise customer acquisition system, centered on a three-tier technology architecture: first, establish a potential customer database through the ...

Ardoq, the SaaS company reinventing Enterprise Architecture, today announced the launch of its Enterprise AI Management Solution, designed ...

A professionally curated list of awesome resources (paper, code, data, etc.) on Deep Graph Anomaly Detection (DGAD), which is the first work to comprehensively and systematically summarize the recent ...

This code was tested with PyTorch 2.0.1, cuda 11.8 and torch_geometrics 2.3.1. Note that ${PROJECT_DIR} refers to this directory. The following section outlines the ...

Abstract: Modelling learning objects (LO) within their context enables the learner to advance from a basic, remembering-level, learning objective to a higher-order one, i.e., a level with an ...

Abstract: Existing message passing-based and transformer-based graph neural networks (GNNs) cannot satisfy requirements for learning representative graph embeddings due to restricted receptive fields, ...

As part of a multiyear extension of their longstanding sponsorship -- which was formally signed months ago -- the NFL will layer artificial intelligence solutions from Microsoft into multiple league ...