Selecting AI Use Cases in Energy and Commodity Industry Artificial Intelligence (AI) has come of age in the past few years, doing several tasks from predicting frauds to driving cars. There is barely any industry left which hasn’t been touched by it – from Banking and Financial Services to Recruitment, Education, Retail and several others. […]

An Invisible framework for Predictive Analytics Predictive Analytics has gained tremendous significance over the last few years, and it’s only increasing by the day. Powered by Artificial Intelligence tools and techniques, it is being applied to almost every industry and every field today. And these tools are being super-charged by real-time data. As you’d very […]

Countering Credit Risk with PFE With commodity and energy prices regaining volatility, most players are struggling to find answers to one of their most critical risk factors – Counterparty Credit Risk. While many, especially in the oil & energy sector, have VaR based tools to measure and manage their Market Risks, few have ventured formally […]

A New “Definitive” model for Risk Risk Edge has recently released its latest Whitepaper on Back-testing Expected Shortfall. The paper presents a New “Definitive” Model for Risk Management and answers several long-standing questions about managing Risks: Why use VaR when it doesn’t give clarity of extreme losses? Can we use Expected Shortfall (ES) to give […]