Registered participants for this bundle will receive a complimentary copy of BCISM Costbook 2025 (ship to billing address)

Part One of the Symposium consists of two presentations:

Presentation 1: Unchaining a Digital Future (John Lowry LFAIQS CQS)

This presentation will explore how construction management is poised for transformation through business process automation, AI, blockchain, and IoT. These technologies promise significant productivity gains by reducing manual tasks through improving workflow efficiencies and enabling site staff to focus on building their capabilities rather than being bogged down by paperwork.

Key impacts include enhanced forecasting through analytics, streamlined processes, early detection of delays and cost overruns, fewer disputes, and improved inclusivity and investment. Ultimately, these changes aim to deliver higher quality, predictable outcomes for clients, but success depends on adapting contracts and management practices to fully leverage automation and emerging technologies.

Presentation 2: AI-Driven Strategies for Managing Disputes in the Construction Industry (Srinath Perera MAIQS)

This presentation will look at how the construction industry faces frequent disputes that impact cost, time, and quality, and how traditional litigation and ADR methods have limitations.

With the rise of digital data, AI-driven strategies (using machine learning, deep learning, and advanced NLP models like GPT and BERT) are being applied to predict disputes, identify root causes, and suggest resolution methods. These technologies enable proactive management through tools for contract analysis, early dispute detection, negotiation, and online resolution, offering a promising way to reduce project delays and costs while improving efficiency.

 

Part Two of the Symposium consists of two presentations:

Presentation 1: Leveraging AI and Automation for Streamlined Construction Procurement – Advancing Efficiency and Decision-Making in Large-Scale Projects (Jeremy Huynh)

This presentation will look at how AI and automation can make large-scale construction procurement faster, clearer, and more efficient. It focuses on practical applications like improving scope clarity, reducing scope creep, and streamlining tender evaluations using tools such as retrieval-augmented generation, predictive analytics, and natural language processing.

The presentation draws upon research that combines literature reviews, case studies across multiple countries, and industry interviews to develop a flexible AI-enabled procurement framework. Key benefits include cutting document review time, enhancing contract precision, and improving supplier transparency—while maintaining human oversight for accountability.

Attendees will learn actionable strategies, governance guidelines, and ethical considerations for adopting AI responsibly in construction procurement.

Presentation 2: Defining Industry Requirements for AI-Driven Resource Management in Construction (Ali Alashwal)

This talk will explore how Artificial Intelligence can improve resource management in the construction industry by addressing challenges like fragmented processes and poor data integration. The talk will identify six key capabilities for an AI-driven system:

1. integrating diverse data for better forecasting

2. predictive planning to avoid shortages

3. optimised resource allocation

4. automating repetitive tasks

5. workforce planning

6. real-time performance benchmarking

Additional opportunities include material tracking, logical sequencing of activities, and balancing time–cost trade-offs. These insights aim to guide developers and practitioners in creating integrated AI solutions that enhance efficiency, adaptability, and decision-making across the project lifecycle.

 

*Registered participants will receive webinar link latest by 1 hour before webinar starts*

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