Larry Bradley is CEO & co-founder of SolasAI, an AI SaaS platform fixing model bias for Fortune 50 firms across finance, tech ...

One can’t read any news today without a barrage of articles about data science and machine learning and artificial intelligence. To better assess all of this talk and hype, I recently had the ...

As useful as algorithms are, one of the biggest problems that operators face when it comes to implementing machine learning applications is gaining the trust of the manager. In fact, a study of supply ...

A range of national meteorological services across Europe and ECMWF have launched Anemoi, a framework for creating machine learning (ML) weather forecasting systems. Named after the Greek gods of the ...

Traditionally, CRM solutions have been unreliable for sales forecasting. Companies have dealt with inaccuracies and blamed their bad data. However, things are starting to change thanks to artificial ...

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 ...

We develop a framework to nowcast (and forecast) economic variables with machine learning techniques. We explain how machine learning methods can address common shortcomings of traditional OLS-based ...

Xu-Dong Chen, Yang Hai-Yue, Jhang-Shang Wun, Chien-Hung Wu, Ching-Hsin Wang, Ling-Ling Li, Power load forecasting in energy system based on improved extreme learning machine, Energy Exploration & ...