Aon’s head of catastrophe insight explains the role data science plays in quantifying natural disaster risk and the future of climate modelling. As part of Data Science Week on SiliconRepublic.com, we ...

Just because your firm can use your existing data for AI risk modelling doesn’t mean you should. There’s a perception that AI can create accurate predictions based on any data set. That’s not always ...

Snowflake went public this week, and in a mark of the wider ecosystem that is evolving around data warehousing, a startup that has built a completely new concept for modelling warehoused data is ...

This article proposes a new method for analysing panel data based on modelling heterogeneity of individuals or entities as a regime-switching process. There are several advantages to this approach.

Data modelling around Covid, climate and economic shocks, house-price collapse and sharemarket crashes has mostly been wrong for decades, writes Dan Petrie. A recent cold snap only a month ago ...

1. Over the last two decades, a large number of camera trap surveys have been carried out around the world and camera traps have been proposed as an ideal tool for inventorying and monitoring medium ...

Acquisition builds on prior partnership that delivered Gearbox, an LLM-powered linking tool that enhances S&P Global's ability to serve customer AI needs NEW YORK, June 9, 2025 /PRNewswire/ -- S&P ...