Picture a single forecasting mistake triggering a cascade of negative consequences, such as surplus inventory, strained supplier relationships and disappointed customers. In today's world, accurate ...
One can’t read any news today without a barrage of articles about data science and machine learning and artificial intelligence. Just recently, Jeff Bezos opened up his private MARS (Machine Learning, ...
People excel at spotting patterns and making adjustments based on feedback, while computers excel at processing huge amounts of data quickly. Put those capabilities together and you have machine ...
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 ...
Demand forecasting methods have been used in retail for a long time. Most of them are based on historical data, which is no longer useful in the new COVID-19 reality. If you used an ML-powered demand ...
Digital Twin of the Ocean is a continuously updated virtual counterpart of the real ocean that exchanges data in real time ...
Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Vivek Yadav, an engineering manager from ...
Recently, the popular weather app Dark Sky launched a website version of its platform, and at first glance, it didn’t look much different than the mobile version. There are some advanced deep-dive ...
An operational solar farm in Australia, where the study took place. Image: Nextracker. Machine learning techniques have been used in a study to boost the accuracy of renewables forecasts by up to 45%, ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback