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 event hosted by CRIN & PTAC focused on proven strategies that have worked for innovators in the field.  

The panellists 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. 

Panel 

Kris Palka, Akinê 

Ilya Perederiy, NTWIST 

Ling Bai & Yu Pang, VL Energy 

Nick Shaw, Highwood Emissions Management 

Key Resource