Public infrastructure projects represent substantial investments, with billions of dollars spent on the design phase of projects. However, the traditional approach to managing these projects often falls short of delivering comprehensive, transparent, and efficient documentation to the public. While design teams provide deliverables at specific milestones, critical project documentation is sometimes lost or t made readily available to the public. The lack of comprehensive and transparent documentation can lead to important design inputs going unaddressed. These can result in unticed design flaws surfacing during construction, resulting in costly change orders that burden the public with additional expenses. Furthermore, there are instances where completed infrastructure fails to perform as intended, leading to disputes and litigation among stakeholders, and adding further stress to public resources. The integration of blockchain-inspired techlogy and AI represents a significant shift toward transparency, efficiency, and accountability in the design and management of public infrastructure. These techlogies ensure all pertinent project documentation is recorded and readily accessible. It allows for a more streamlined and informed project life cycle, ultimately delivering better results for the public. Join us in this presentation to explore how these invations can optimize project life cycles, reduce costs, and serve the public more effectively.
At the conclusion of this session participants will be better able to:
• Explain the importance of transparent infrastructure management and its impact on project efficiency and public service. Understand the role of comprehensive and transparent project documentation in efficient project execution, reducing unexpected project expenses, and enhancing public trust.
• Recognize what blockchain is at a high level, and explain how blockchain-inspired techlogy can allow for comprehensive and improved documentation, how it can be applied to optimize project life cycles, and effectively identify the accountable parties if the project fails to perform as intended.
• Recognize how artificial intelligence (AI) can be applied in project execution, and discuss ways of using AI to effectively: prepare request for proposals; evaluate bids; develop project insights; conduct predictive analyses; identify potential project issues early; apply proactive solutions; and reduce risk of disputes.

Contributor/Source

Omer Bozok

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