It retrains cash flow ML models at the end of each day, automatically selecting the most accurate model for each account. The new tool is available to all Bank of America CashPro users and is easy ...

The model identifies historical forecasting relationships between those variables and future returns on a diversified index of high-yield corporate bonds. “KBRA Altman: Picking Up the Pieces ...

Freshwater recommends that retailers reprioritize their machine learning roadmaps to cope with the unexpected. The pandemic was the trigger for her team to make changes and implement new ideas ...

Artificial intelligence-driven algorithms can be used to better forecast models for natural disasters, saving lives and protecting property by rapidly analyzing massive data sets and identifying ...

The Journal of Conflict Resolution, Vol. 64, No. 10 (November 2020), pp. 1885-1915 (31 pages) Does theory contribute to forecasting accuracy? We use event data to show that a parsimonious model ...

Once trained, typically on 40 years of historical weather data from ECMWF, a machine-learning model like Google’s GraphCast can run on less than 5,500 lines of code, compared with the nearly ...