7:50 am Chair’s Opening Remarks
Data Collection
8:00 am Hearing How a Contractor Consistently Pulls Real-Time, Accurate Data from the Field to Drive Project Insights
Synopsis
- Outlining the daily process for data collection: who is responsible for communicating what, when and how?
- Identifying the metrics that are absolutely critical and focusing on high-quality collection of those data sets to avoid getting swamped with useless information
- How to gain the buy-in of job site workers to improve confidence that the data will be collected in an accurate and timely way
8:40 am Case Study: Enhancing Project Controls Processes Using Time-Lapse Construction Cameras on the Governor Mario M. Cuomo Bridge Project – A Tool with Real-Time, Recurring, and Long-Term Value
Synopsis
- Monitoring multiple discrete activities across a large project area from any location in the office or field
- Validating contractor payment and schedule submissions on a monthly basis
- Establishing clear, consistent, and comprehensive project records
- Generating substantial public excitement, buy-in and goodwill
9:30 am Speed Networking & Morning Refreshments
10:20 am Forging Stronger Relationships with Subcontractors to Ensure Data Collection is a Team Effort
Synopsis
- Addressing the contractual and legal implications of requesting data from subcontractors: what should you expect from them?
- Understanding the concerns subcontractors have with regards to data collection and how to negotiate around their ‘big brother’ fears
- Creating streamlined processes that can be consistently applied to all subcontractors to reduce the burden and time associated with data collection
11:00 am Reviewing Technology for the Job Site to Ease Data Collection
Synopsis
- Encouraging the adoption of RFID and QR codes improve the tracking of people, equipment and materials
- Exploring the pros and cons of document management solutions to connect the job site with the field and automate data collection
- Revealing best practices for implementing new tools quickly including staff training and gaining buy-in
11:40 am Networking Lunch
12:40 pm Applying Data Integration Best Practices to Create a Single Source of Truth
Synopsis
- Comparing solutions for storing information in one place: Should it live in the cloud? What are the alternatives?
- Ensuring data management processes are sufficiently robust to trust the data
- Contemplating the cyber security and data privacy implications of each data storage solutions
1:19 pm
Data Innovations in Practice
1:20 pm Establishing a Robust, Collaborative Approach to Earned Value Management
Synopsis
- Creating a process that aligns expectations of the project team on how progress should be measured
- Gaining buy-in and trust of the contractors to ensure you’re being told the true status of a project
- Optimizing the frequency at which progress measurement is done to balance the resources needed to track a project with the benefits of identifying problems earlier
2:00 pm Revealing the Latest Ability of AI to Optimize Baseline Schedules
Synopsis
- Hearing how AI can process thousands of iterations of schedules and how the role of the scheduler needs to adapt in an AI-augmented process
- Understanding the data collection and management requirements to feed into an AI system
- Exploring how AI can tie schedules with cost to enable a holistic decision making process for the good of the project
2:40 pm Afternoon Refreshments
3:10 pm Identifying Risks Early: Outlining Step-by-Step the Process of Leveraging Real-Time Data to Forecast Projects
Synopsis
- Reviewing the technology used to manage and process data to compare reality with baselines and identify gaps in productivity
- Understanding how the root causes of schedule or cost overruns can be identified through advanced data analytics
- Determining the level of confidence in current forecasts and the variables that can influence trust in the process
3:50 pm Panel: Actions to Take Away to Promote Data-Driven Project Controls
Synopsis
- What are the greatest barriers in capturing and managing data and what successes have firms had in overcoming these?
- What technologies and processes have been most effective in forecasting projects, identifying risk early and driving value in project controls?
- What do we expect project controls to feel like five or ten years from now? What technology or data innovations will disrupt the way we work?