The current global situation is marked by deep uncertainty, with geopolitical factors playing a crucial role in shaping energy and commodity markets. Several key challenges are influencing decision-making in these sectors: Political instability and conflicts can lead to disruptions in critical supply chains, affecting energy production, transportation, and distribution. The pace and scale of renewable power proliferation remain uncertain, as policy decisions, technological advancements, and investment levels fluctuate. Geopolitical tensions have a direct impact on commodity prices, leading to unpredictable fluctuations that complicate long-term planning. Inflation, interest rates, and exchange rate variations add another layer of complexity to the already volatile market environment. In such an unpredictable setting, decision-makers must adopt a strategic approach that incorporates data-driven insights and advanced modeling techniques. The following elements are crucial: Realistic “What-If” Scenarios: These scenarios must be grounded in a vast array of historical and current data, both structural and unstructured. AI-powered analytics can process a huge amount of data and help uncover hidden dependencies and interconnections that may not be immediately obvious. Comprehensive Asset and Market Modeling: Accurate models of energy assets, transportation networks, and trading opportunities enable organizations to simulate different market conditions effectively. These models help decision-makers assess potential risks… continue reading