Data Quality, Risk & Governance in AI-Driven Energy Markets

AI tools are only as reliable as the data and governance behind them. Missing data, biased samples or poor integration can lead to misleading recommendations.

Energy companies using AI for market decisions need clear rules on who owns the models, who can change them and how performance is checked over time.

Simple governance – regular reviews, clear documentation and human oversight – helps keep AI a useful assistant rather than a black box risk.