Machine learning has been one of the most exciting development we have had since the internet and its subsequent spread through smart phones. Andrew Ng likens artificial intelligence (AI: term can be used vice versa with machine learning as of this moment that AI system learns from data, but this hasn't always been the case) to electricity; that AI will be pervasive, everywhere and transformative in the way we do things. Why would it be so transformative to the way we do things? Its simply that before advent of AI, everything we built were not even stupid, they had no thoughts and take no actions, its people who gotta make all the decisions for them.
Machine Learning helps make complex systems more efficient. By applying advanced Machine Learning techniques such as Cognitive Fingerprinting, wind project operators can utilize these tools to learn from collected data, detect regular patterns, and optimize their own operations. In his session at 18th Cloud Expo, Stuart Gillen, Director of Business Development at SparkCognition, discussed how research has demonstrated the value of Machine Learning in delivering next generation analytics to improve safety, performance, and reliability in today's modern wind turbines.