To what extent do you see AI playing an increasing role in CTRM and related software?

In the ComTechAdvisory RoundTable Q1 2024, thought leaders from various sectors within the Commodity Trading and Risk Management (CTRM) industry shared their insights on the burgeoning role of Artificial Intelligence (AI) in enhancing CTRM software and related technologies. Contributors like Chris Regan of Brady Technologies highlighted the utility of AI in augmenting software engineering with tools such as GitHub co-pilot, emphasizing its role in algorithmic trading and energy trade execution. David Rao of Enuit discussed the transformative potential of AI in improving business processes and decision support, while Dr. Ganesh Natarajan, also from Enuit, stressed AI’s capability to streamline operations and manage risks through advanced analytics. Harry Knott of Quor pointed out the need for responsible AI deployment, focusing on explainability and user-centric benefits. These diverse perspectives converge on a common theme: AI is not merely an emerging technology in CTRM but a fundamental force driving innovation, efficiency, and enhanced decision-making across the commodity trading landscape.