As EHS expectations evolve under tightening policies, organizations are rethinking how they collect, interpret, and act on compliance data. Moving from reactive reporting toward predictive, data-informed management improves data availability, reduces compliance risk, and strengthens regulatory confidence. Integrating analytics and emerging AI tools with existing compliance systems enables earlier insights, higher data quality, and smarter operational decisions aligning environmental compliance, health & safety, and sustainability efforts with overall business performance. The presentation covers the following key themes:

• Turning compliance data into actionable intelligence for proactive decision-making
• Embedding automation and modern AI tools in monitoring, reporting, and permitting workflows
• Forecasting emissions and performance trends using statistical and digital twin models
• Enabling predictive maintenance and operational reliability through data integration
• Building a scalable, data-driven EHS culture that supports continuous improvement