CONFERENCE DAY TWO

Wednesday April 16, 2025

7:00 am Coffee & Networking

7:30 am Chair’s Opening Remarks

Expanding Data Capabilities for Long-Term Strategic Impact

7:40 am Strengthening Organizational Growth Through Continuous Improvement of Your Analytics Capabilities

  • Tomislav Zigo Chief Technology Officer and Vice President, Clayco

Synopsis

  • Exploring strategies that promote a culture of data-driven decision-making
  • Creating adaptive data strategies that can evolve with changing business needs and technological advancements
  • Assess the risks of implementing new analytics solutions or processes to ensure meaningful transformation
  • Establishing effective change management processes to help overcome failures and maintain momentum with analytics adoption

8:20 am Audience Discussion: Enhancing Data Literacy Across the Organization

Synopsis

  • Examining how strong leadership can break down barriers and unite teams around a shared vision and understanding of the potential of data
  • Identifying strategies to build a data-savvy culture through effective training and continuous support for all team members
  • Empowering end users to make informed decisions by guiding them through real-world examples and practical analysis

9:30 am Morning Refreshments

Track 1: Data Engineering & Governance

Leveraging AI & Advanced Analytics


10:10 am Harnessing AI for Enhanced Data Retrieval to
Improve Productivity & Speed of Decision-Making

  • Analyzing how AI-driven data retrieval could boost efficiency and profitability, with specific cases where companies saw a measurable return on investment (ROI)
  • Testing AI generated outputs to ensure quality of insights being generated
  • Investigating the potential for open-source vs. proprietary AI models to further aid data democratization and save time

Sergio De Leon, Data Scientist, Dryco Construction
Tejas Patel, Business Transformation & Automation Engineer, Dryco Construction


11:30 am Audience Discussion: Real-World Applications of AI in Analytics

Join this breakout to share your strategies and insights on how companies can effectively leverage AI for data retrieval and analytics efficiency. Collaborate with your peers to exchange ideas and spark inspiration for new implementations within your organization

Track 2: Analytics Insights & Visualization
Track 3: Evolving Your Analytics Practice

11:50 am Lunch Break

Track 1: Data Engineering & Governance

Data Structuring & Loading


12:40 pm Integrating Data Silos Such as Time Tracking, Payroll & Accounting for More Informed & Efficient Reporting

  • Exploring strategies for creating a unified data ecosystem that enhances collaboration across departments and improves data flow
  • Discussing how organizations identify and utilize common data denominators, such as project or employee IDs, to facilitate data integration
  • Identifying scalable integration solutions that can grow with your organization’s needs

Blake Abbenante, Director, Analytics & Data Science, Suffolk


1:20 pm Strategies for Structuring Data in CMiC for Optimal Usability

  • Navigating the differences between projects and sub-jobs for effective management of resources, timelines, and reporting
  • Integrating user-defined fields with multiple project managers to capture more project details while ensuring reporting accuracy
  • Techniques for efficiently updating CMiC APIs and overcoming feature implementation challenges
  • Discussing ways to improve reporting processes and visualization

Akira Togawa, Senior Director of Business Automation & Intelligence, Harris


2:00 pm Audience Discussion: Addressing Data Integration Barriers

Join this breakout to discuss common obstacles encountered when integrating data from various silos, such as time tracking, payroll, and accounting. Share your experiences and collaborate with your peers to improve your organization’s data integration efforts

Track 2: Analytics Insights & Visualization

2:20 pm Afternoon Refreshments

Shaping the Future of Construction Analytics

2:50 pm Driving Successful Data Integration with Clients for Enhancing Project Outcomes

  • Gary Dorfman Senior Systems Project Manager, Dome Construction

Synopsis

  • Exploring innovative technologies adopted by clients to enhance data collection and analytics
  • Examining collaboration opportunities between construction companies and clients to better collect and share data insights for improved project outcomes
  • Ensuring robust data security and privacy measures when integrating client data to safeguard sensitive information while enhancing project outcomes

3:30 pm Panel: Envisioning the Future of Data Analytics in Construction

Synopsis

  • Discussing the importance of data interoperability between different software platforms and the future of standards for seamless data exchange in construction workflows
  • Exploring untapped opportunities for analytics and how else we could use it to make informed decisions
  • Looking into the future of workforce development in data analytics, including strategies for attracting talent and providing ongoing trailing to equip teams with the necessary skills for advanced analytics
  • Envisioning the future of analytics technologies within the construction industry, including AI-driven decision support systems, advanced data visualization tools, and the integration of augmented reality (AR) for on-site data analysis

4:10 pm Chair’s Closing Remarks

4:20 pm End of Main Conference