Enterprise data management (EDM) is the framework organizations use to manage data across systems, teams and workflows. It ...

Digital finance is accelerating, and threats are evolving in complexity, outpacing traditional methods for detecting fraud.

I remember conversations with loss prevention directors in the 1980s and throughout the 90s where stories were shared of ...

With projected growth to US$ 91.33 billion by 2030, the Global Risk Analytics Market represents a significant opportunity for ...

An accomplished technology leader with a distinguished career spanning nearly two decades, Anish Kumar Jain has established ...

Infectious diseases remain a major public health challenge worldwide, prompting continuous advancement in mathematical modeling techniques, analytical ...

Master Data Management. With an increasing variety of systems, IT professionals, and customers creating and accessing data throughout enterprises as well as partner organizations, Master Data ...

We’ve officially entered the era of agentic AI—where systems do more than just follow instructions. These AI agents can now act autonomously, make decisions, execute tasks, and learn continuously from ...

Data storytelling is not just a subset of reporting or a more polished presentation, but a method that involves narrative ...

Relational Database Management Systems (RDBMSs) continue to do the heavy lifting in data management, while newer database management systems are taking on prominent roles as well. NoSQL database ...

Brex explores the five types of procurement that organizations employ today and explains the advantages for specific business ...

Objective To perform a large-scale pairwise and network meta-analysis on the effects of all relevant exercise training modes on resting blood pressure to establish optimal antihypertensive exercise ...