This interview podcast features Matthew DeMello, Senior Editor at Emerge AI Research, interviewing Faraz Shahid, Supply Chain Center of Excellence Lead at Cheniere Energy, an American liquefied natural gas (LNG) company. The discussion centers on the challenges and opportunities of AI in the oil and gas industry's procurement processes, focusing on transactional efficiency, predictive inventory management, and supplier partnerships. Shahid highlights key hurdles like workforce shortages and data management complexities, emphasizing the need for AI to complement human expertise rather than replace it. A specific example discussed is the use of predictive AI for forecasting and allocating resources, similar to Amazon's predictive capabilities in retail, but with the added complexities of data security and ROI quantification in the oil and gas sector. The interview concludes by exploring the future of proactive procurement in oil and gas, emphasizing the importance of customer experience, value creation, and risk management.
