While 2025 has been the year of the LLM, the most innovative, forward-thinking firms will be those whose analytics also integrate machine learning and neural networks to unlock greater predictive modeling and forecasting.

This session is the ultimate deep dive into how to build relevant machine learning algorithms for construction decision making, explore transformer architectures to automate text-heavy workflows, and determine the best applications for machine learning to unlock greater value from your data.

Stay ahead of the curve by:

• Defining the practical, effective machine learning and neural network applications in construction from classification and linear regression to predictive modeling for forecasting and optimization
• Exploring how to use transformer architectures to process large volumes of text to automate workflows, interpret stakeholder needs, and streamline decision-making, including how no SQL databases can support these workflows
• Evaluating hybrid approaches between AI and machine learning to enable natural language interfaces, enhance analytics insights, and improve operational efficiencies given the limits of LLMs in numeric or predictive tasks

CASE STUDY