Wednesday April 16, 2025
7:30 am Coffee & Networking
8:40 am Chair’s Opening Remarks
Expanding Data Capabilities for Long-Term Strategic Impact
8:50 am Building Analytics Teams with the Right Skillsets to Maximize Business Value & Competitive Advantage
Synopsis
- Discussing the candidate profile for top performing data analysts
- Evaluating the potential for hiring new talent or developing current employees’ skills in aligning your team with organizational objectives
- Evaluating centralized versus decentralized models for analytics team structures
9:30 am Unlocking Better Construction Outcomes with Data – A Fireside Chat with Clancy & Theys
Synopsis
Join Autodesk for a fireside chat with industry experts as we dive into how harnessing the power of data can transform construction processes and unlock new levels of efficiency and innovation.
10:00 am Morning Refreshments
Leveraging AI & Advanced Analytics
10:40 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
11:20 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
11:40 am Lunch Break
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
2:20 pm Afternoon Refreshments
Shaping the Future of Construction Analytics
2:50 pm Driving Successful Data Integration with Clients for Enhancing Project Outcomes
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