AI can definitely increase energy efficiency for buildings; applied to IoT sensors to collect real-time data, it suggests changes to avoid energy waste. By using AI-enabled algorithms, it can continuously monitor and adjust the energy usage of large buildings, as well as automatically adjust thermostats and lights in accordance with the occupancy of a particular space. Check out our solution to save energy in large buildings.
It’s no secret that the technologies that can help in building a value extraction process are numerous, and for this reason, choosing the right architecture can be difficult, expensive, and time-consuming. Let’s get deeper into Radicalbit’s latest platform – Helicon- application to chemical industry sector.
Building a performing Machine Learning model requires a significant amount of time to experiment. A data scientist tries different algorithms or different feature engineering strategies before getting the model right. Once the model is tuned to its best, it may be time to serve it in the production environment.