Machine learning model can rate thousands of pensions for risk in one day

Britain’s pensions regulator has developed a machine learning model that can quickly identify billion dollar schemes at risk of collapse. One such scheme for the British company BHS collapsed in 2016, cutting pension payouts for more than 13,000 people. Currently, trained experts require three years to assess some 6,000 schemes on their books, which cover $1.9 trillion and 11 million people. The new system is capable of scanning this pool for high-risk cases every day.