How AI Plays Into the Future of Risk Management

Artificial intelligence and predictive analytics hold the promise of tackling the data burden and keeping risk predictions agile to external trends -- but they need to be applied strategically to present real value and minimize business risk. Historically, risk analysts have been able to make sense of complex yet structured data. Although nothing in these methodologies are broken per se, the way we use data is transforming irreversibly. For a business discipline that should offer exactly the opposite, it's clear that the standard practice needs to be adjusted to keep predictive analytics accurate. With the majority of all business services and consumer activity now taking place digitally, data is produced in vast, unprecedented volumes that are virtually impossible to neatly organize into structured, linear data sets for interrogation.