Conference Day 1 - Tuesday, February 25, 2025
7:30 am Check-In, Refreshments & Networking
8:30 am Chair’s Opening Remarks
Maximizing Efficiency & Technology ROI
8:40 am Evaluating Technology ROI Against Business Goals to Optimize Project Controls Workflows
Synopsis
- Mapping out the processes you want to improve and selecting tools that fit business goals
- Understanding what to consider before adopting a new tool, including data validation, system functionality, and who the system is designed for
- Assessing the time and effort it will take to train personnel and successfully integrate the tool into the company
9:20 am Case Study: Integrating Artificial Intelligence to Increase Efficiency in Workflows
Synopsis
- Leveraging AI for real-time progress tracking in the field for more accurate schedules
- Validating AI-derived percentage complete data to avoid inaccuracies
- Maximizing the benefits of AI tools without compromising on data privacy
10:00 am De-Risking is a Team Sport: How AI Empowers Everyone in Project Success
Synopsis
- Choosing the right tools and technology to ensure project teams can quickly and easily comply with contractual obligations
- Building AI-powered Playbooks to deliver clear objectives, break down siloed information, and improve cross-team collaboration within established workflows
- Utilizing the power of collective data and intelligence to identify and mitigate risks and improve efficiency
10:30 am Morning Refreshments & Speed Networking
Track 1: Optimizing Project Control Workflows
Enhancing Coordination & Collaboration
11:10 am Case Study: Leveraging Cross-Department Coordination to Improve Project Management
Synopsis
- Sharing cross-departmental information to boost efficiency and increase visibility of schedule data
- Collaborating through group learnings and regular meetings to align on project timelines
- Training and Change management challenges in a rapidly growing department
11:50 am Collaborating with General Contractors & Trades During the Planning Phase for Effective Scheduling
Synopsis
- Highlighting the benefits of involving trade partners early in the planning phase
- Building a realistic schedule with input from all parties
- Monitoring the progress of the schedule and adjusting based on input from GCs and trades
Track 2: Strategic Oversight
Ensuring Data Integrity
11:10 am Establishing a Data Governance Strategy to Ensure Consistent & Reliable Reporting
Synopsis
- Creating a governance framework that ensures ongoing compliance and process improvement
- Exploring different governance structures to understand the roles and responsibilities of each member
- Developing a shared dictionary of terms and consistent naming conventions for effective data management
11:50 am Optimizing Data Collection for Accurate Project Forecasting
Synopsis
- Ensuring that data entered is correct and complete to avoid inconsistencies
- Collecting only the most relevant data and adapting processes to ensure alignment with evolving project needs
- Adopting user-friendly technology solutions that automates data collection processes to save time
12:30 pm Lunch
1:30 pm Case Study: Implementing Effective Training to Encourage Field Teams to Input Data Correctly
Synopsis
- Training teams to be responsive and accurate in their updates to maintain data integrity
- Introducing incentives for timely and accurate data submission
- Adapting training to accommodate the needs of field-based workflows to ensure effective data contribution
- Showcasing the value of their contribution by demonstrating its impact on project outcomes
Increasing Forecast Accuracy
2:10 pm Analyzing Key Variables to Predict Impacts on Productivity & Schedules
Synopsis
- Gathering historical data from similar projects to help analyze trends for improved predictions
- Taking into account variations in manpower and crew ratios and how that can impact productivity and schedules
- Using trend analysis to predict project outcomes based on historical patterns and data points
2:50 pm Leveraging the Monte Carlo Method for Accurate Forecasting of Cost & Schedule
Synopsis
- Reviewing traditional forecasting methods and their limitations in handling project uncertainties
- Recognizing the value of probabilistic methods and predictive models that handle uncertainty
- Scaling these methods to an enterprise level to improve cost and schedule estimates and forecasts
1:30 pm Case Study: Sifting Through the Data Deluge to Track the Most Impactful Metrics for Project Outcomes
Synopsis
- Prioritizing what to track to overcome the disconnect between those who enter data and those who use it
- Shifting focus based on the project phase to allow for flexibility in priorities
- Anticipating future project needs to move beyond reactive management to proactive solutions
Enhancing Client Relations
2:10 pm Panel: Tailoring Project Controls to Meet Client-Specific Requirements to Drive Project Success Across Diverse Sectors
Synopsis
- Ensuring that data entered is correct and complete to avoid inconsistencies
- Collecting only the most relevant data and adapting processes to ensure alignment with evolving project needs
- Adopting user-friendly technology solutions that automates data collection processes to save time
2:50 pm Case Study: Communicating How Owner Responsiveness Impacts Project Costs & Productivity to Imp
Synopsis
- Identifying how delays in owner responsiveness to RFIs and design changes can disrupt workflows and increase costs
- Using the “measured mile” method to quantify the impact of disruptions and demonstrate the true cost of delays
- Communicating effectively the impacts of these disruptions to owners to enhance their cooperation
3:30 pm Afternoon Refreshments
Maximizing Productivity
4:10 pm Balancing Speed, Training & ROI to Keep Up with Software Advancements
Synopsis
- Transitioning to new software versions more quickly and efficiently to avoid delays in implementation
- Managing the financial and operational challenges of staff training on new systems
- Considering the benefits of new tools to justify the costs and efforts involved
4:50 pm Audience Discussion: How do You Influence Decisions Without Leading?
Synopsis
- How do you communicate data indicators in a way that gets heard?
- Filtering out the noise without losing meaning to ensure only the vital data gets presented
- Using historical case studies to build credibility and create coaching opportunities