Presented by Eos Group

CEO

Chief Customer Officer

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Understand Predictive Analytics: Learn the fundamentals of predictive modeling and how it applies to cost estimating in construction.

Data-Driven Decision Making: Discover how to turn historical project data into actionable forecasting tools.

Improved Accuracy & Efficiency: See how machine learning algorithms can reduce human error and increase estimate reliability.

Risk Identification & Mitigation: Explore how predictive analytics can flag budget risks and scope uncertainties early in the process.

Implementation Best Practices: Get tips on integrating analytics tools into existing preconstruction workflows with minimal disruption.

Learn how to enhance your workflows beyond cost alone.

Understand why early decisions impact total project success.

Gain insights into integrating estimating with scheduling and risk management.

See how early collaboration prevents costly rework.