Jan 26, 2023
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.
Kris Palka, Akinê
Ilya Perederiy, NTWIST
Ling Bai & Yu Pang, VL Energy
Nick Shaw, Highwood Emissions Management