This webinar take a practical approach to introducing machine learning and Artificial Intelligence (AI) for the Energy sector. Computer / machine facilitated analysis has been a staple of human endeavors since before man landed on the moon. Today with the advantage of big data and cloud computing, the machine’s capability is far expanded, but still very much requires human guidance and inquisitiveness.
We are seeing applications of various forms of advanced and predictive analytics across industrial spaces with significant potential for energy in areas such as E&P, supply and demand management, consumption management, infrastructure management and trade and risk management.
- Key take aways on how AI impacts:
- Energy supply
- Energy demand
- Energy infrastructure
Aiman El-Ramly is the Chief Strategy Officer at ZE PowerGroup and ZE Power Engineering. He has 30 years of progressive experience in the energy, commodities and technology spaces.