Josh Carlisle

·       Foster a culture of data literacy, equipping teams to access and analyze emissions data for compliance-driven decision-making

·       Ensure the accuracy and efficiency of emissions reporting to meet regulatory standards and improve transparency

·       Define the concept of a ‘single source of truth’ for emissions data, aligning operations with compliance expectations

·       Leverage software solutions to bridge gaps between engineering, operations, and corporate departments, streamlining compliance efforts

·       Leverage AI-powered image analysis and machine learning algorithms to process vast datasets efficiently

·       Accelerate innovation by using AI to simulate and test new reduction strategies before full-scale implementation

·       Recognize the importance of human expertise and on-the-ground verification to avoid over-reliance on AI

·       Scrutinize data quality and bias to prevent AI algorithms from perpetuating inaccuracies in emissions reporting