Oracle Transforms Construction Safety Management with AI
AI-enabled predictive intelligence solution helps organizations avoid safety incidents, reduce costs, and foster a proactive safety culture
Previously, creating accurate predictive models required customers to supply extensive data for model training and tuning. Advisor for Safety utilizes an Oracle built, industry-specific safety model trained on data spanning the equivalent of 10,000+ project-years representing diverse project types and locations. The solution enables firms to quickly benefit from more predictive safety regardless of their current safety program's maturity.
In tandem, Oracle has also introduced a new Observation capability in Aconex and Primavera Unifier Accelerator. Designed to work with Advisor for Safety, this feature enables field teams —from project engineers to the most senior project executive—to more easily capture structured safety data, including severity and frequency scoring, consistently in an easy-to-use format via a mobile device or web browser. By standardizing observation data collection and safety workflows optimized for predictive model outputs, this new capability can help improve predictive model accuracy and reinforce behaviors that reduce risk.
"Advisor for Safety marks a significant step forward in safety management, giving construction companies and owners the tools to predict and prevent incidents, while improving the industry's overall efficiency and cost-effectiveness," said
Proactive safety management
Traditional safety tools often rely on reactive measures and lagging indicators, leaving organizations to respond to incidents after they occur. Advisor for Safety takes a proactive approach by offering:
- Weekly risk forecasts: help firms identify the top 20% of projects that could account for 80% of their safety incidents, enabling teams to allocate resources effectively, reduce incident rates, and lower workers' compensation costs.
- Actionable risk mitigation: provides prioritized actions for high-risk projects, enabling suggested corrective measures and improved safety outcomes. For example, the solution may recommend increasing supervision oversight, focusing on high-risk areas.
- Observation-based safety: drives proactive incident reporting while maintaining data quality for more reliable risk predictions.
- Cross-project analytics: aggregates safety data for executive insights, strategic decision-making, and best practice sharing.
Advisor for Safety integrates multiple data streams—such as safety observations, incident reports, payroll data, project schedules—from Oracle Aconex, Oracle Primavera Unifier Accelerator, and Oracle Fusion Cloud Enterprise Resource Planning (ERP), as well as third party systems. As customers use Advisor for Safety over time, predictions can be refined for their organization by fine-tuning their proprietary data to solve specific safety challenges or focus on their priority domains.
"By predicting safety incidents and providing actionable insights, our customers can now focus on prevention rather than reaction," said
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