Clean Resource Innovation Network (CRIN) and Petroleum Technology Alliance Canada (PTAC) hosted a free hybrid event on January 26 from 9:00 am to 11:45 am, at the Energy Transition Centre, where Kris Palka from Akinê, Ilya Perederiy from NTWIST, Ling Bai and Yu Pang from VL Energy, and Nick Shaw from Highwood Emissions Management outlined strategies to increase the value of actionable outcomes from Artificial Intelligence and Machine Learning – Identifying the right kind of datasets for long term gains through Artificial Intelligence. Artificial Intelligence and Machine Learning require large amounts of data to extract unobvious learnings, identify trends and make actionable recommendations. The critical challenge is continuously accessing large data sets specific to a type of workflow or process. This hybrid in-person and webinar event focused on proving strategies that have worked for innovators in the field. Click below to watch a complete recording of the event.