Find out more around how Artificial Intelligence can be applied in construction management. This introductory session provides an introduction to AI in construction and looks at the practical application of AI in various areas of construction.
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Artificial Intelligence (AI) in construction
1. Application of Analytics in
Construction
Management
An Introductory session
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2. Problem definition
Introduction
01
Understand terminologies
Definitions
02
Investigate practical applications in various areas of construction
Practical Applications
03
Discuss Future Strategies
The Meetup Strategy
04
Agenda
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8. • Knowledge Sharing
• Interdisciplinary interaction
• Networking
• Bridging the gap between the industry and academia
• Share success cases
• Upskilling construction practitioners in the field of Analytics
• Upskill data scientist and Analytics professionals with the
opportunities in the construction industry
• Collaboration and joint efforts to disrupt current practices in the
construction industry
Objectives of this Meetup
23. Data in Construction Context
Cost Estimating
Change
Management Cost Control
Finance (ERP) Risk Analysis
Programme
Management
Performance &
Reporting
24. Data Streamlining using BIM
Cost Estimating
Change
Management Cost Control
Finance (ERP) Risk Analysis
Programme
Management
Performance &
Reporting
BIM
25. Analytics Applications in Construction
Discipline Applications
Health and Safety PPE detection,
Hazards warning,
Near miss reporting
Pose estimation for detecting
Security Face recognition
ANPR
Automated detection of intruders
Theft detection
Quality Compliance check, defects inspection, process validation
Stakeholders Quantification of Community engagement effectiveness
Duration prediction for consents
Environment Emission prediction
Recycling using CV and Robots
Ecology Surveys
26. Analytics Applications in Construction
Discipline Applications
Controls and Reporting BI tools to automate reporting
Performance monitoring
Automated progress capturing
Accurate forecasting
Schedule duration estimation
Cost estimation prediction
Procurement Work winning
Review bidding companies
Commercial Management of Contracts
Correspondence Monitoring
Engineering Design Compliance Review
Design Recommendations
Recommendations for design
HR Recruitment skills analysis
Interview video analysis
Absenteeism prediction
32. Procurement
RFP
• Request for proposal
Requirements
• Using natural language processing (NLP) requirements are
extracted
Mapping to
offering
• Identified requirements are mapped to offerings
Pricing
• Using predictive algorithm, estimation of price is
performed
Outcome
• Predicting bidding outcome with high level of confidence
Win/No Win
34. Next Steps
Our plan
• Monthly Meetup
• Survey for other plans
• Workshops
• Hackathons
• Training Sessions
• Open Data Initiative (ODI)
35. • This community is owned by everyone. Hence, we are expecting
community.
• Promoting the community to your contacts
• Propose Speakers
• Volunteers for organising
• Venues to host upcoming events.
Next event is planned on 9th July. Details to follow
Your Contributions