AI can play a vital role in achieving net-zero emissions by identifying critical emission sources, assessing their properties and chemical composition, analyzing historical CO2e data, and building simulation models for emission identification and reduction. However, there are challenges in integrating real-time, semi-real-time, and manual data entries, setting up procedures for validation, auditing, and publishing accurate numbers. It is also difficult to identify, map, and monitor Scope 3 emissions regularly. Another opportunity is to analyze and predict energy demands, oil/gas flaring, combustion/indirect sources, and other associated emission categories. We have achieved primary success in establishing an effective roadmap for CO2e emission identification and forecasting.
Speaker
MD FAZLUL CHOWDHURY
Fazlul Chowdhury, an accomplished professional in the realm of Information Technology, has an extensive portfolio that includes Enterprise/Solution/Integration Architecture, and the design and development of mission critical systems. His expertise also extends to Advanced Data analytics and Line of Business Systems' Integration. As a TOGAF certified Enterprise Architect, Fazlul has earned two Master's Degrees, one in Computer Science and another in Software Engineering. His most recent academic achievement was awarded by the renowned University of Calgary in Canada.
His career spans over 26 years of international experience, during which he has made significant contributions to various sectors including Oil & Gas, Utilities, Construction, and International Organizations. His work has taken him across the globe, with over 15 years spent in North America, almost 9 years at Saudi ARAMCO, and an additional 3 years dedicated to a US AID