7:00 am Registration & Networking Breakfast

8:00 am Chair’s Opening Remarks

Transforming Construction With Artificial Intelligence

8:10 am Exploring the Power of AI to Transform Your Analytics Initiatives Companywide

  • Robin Patra Director Data , Analytics & AI, ARCO Construction Company


  • Developing a comprehensive roadmap for AI Integration: what are the sequential steps to transition from manual processes to AI-enhanced workflows?
  • Revealing the potential applications of generative AI tools in construction like Chat-GPT for generating and translating code to automate workflows
  • Exploring how to leverage AI and machine learning algorithms to optimize construction schedules and adapt to unforeseen challenges

8:50 am Case Study: Harnessing Predictive Analytics for Improved Project Estimating & Scheduling


  • Explaining the process of collecting and preparing the most relevant data and addressing the common challenges faced during implementation
  • Sharing how predictive analytics resulted in accurate cost estimation and scheduling accuracy
  • Discussing challenges and lessons learned from our predictive analytics approach to better prepare your organization


Improving the Quality of Data Collection & Integration

10:40 am Mastering Data Cleaning to Consistently Generate High-Quality Data & Improve the Efficacy of Analysis


Identifying inconsistencies, errors, and missing data: what type of data needs to be cleaned?

  • Correcting and restructuring ‘dirty’ data to improve the validity of your data sets
  • Adopting automation tools and processes to reduce repeated efforts for scrubbing data

11:20 am Monitoring the Quality of Data Collection in the Field to Enhance Accuracy


  • Recognizing the bad data: what does “dirty data” look like?
  • Writing and implementing policy/procedure to prevent future creation of bad data
  • Providing field teams with the tools and techniques required to collect data effectively
  • Creating dashboards for display of clean data with a slicer/filter to catch outliers before they become issues


Achieving Secure & High-Quality Digital Infrastructure

10:40 am Case Study: Building a Robust Data Governance Strategy to Streamline Data Operations


  • Implementing data governance practices: why is it important and how do you get everyone on board?
  • Gaining insight into the day-to-day operations of data governance: determining the optimal frequency of tasks and the roles played by each department
  • Reflecting on the challenges and obstacles encountered during a data governance journey and lessons learned to overcome them

11:20 am Building a Data Catalog to Gain a Holistic View of Your Data & Improve the Efficiency of Insights Generation


  • Analyzing the costs and functionalities associated with creating and maintaining a data catalog: how valuable will this be for my firm?
  • Exploring the process of creating a data catalog to streamline the retrieval process and locate data easily
  • Understanding the access control and security protocols to empower users to be self-reliant, and use data catalogs independently


Transforming Project Efficiency With Data

10:40 am Case Study: Leveraging Data Insights to Control Costs, Schedules & Risks

  • Nathan Wong Business Intelligence & Analytics Lead, PCL Construction


  • Tracking and visualizing project progress in real-time: what data do we need to look at to improve project management, and track budgets and potential delays
  • Understanding how to effectively utilize and translate data to evaluate how to allocate resources efficiently, manage budgets, and meet project deadlines
  • Identifying and addressing leading indicators early to transition from a reactive to a proactive, data-driven project management approach

11:20 am Building Effective Dashboards for Job Oversight in the Field to Ensure Compliance to Safety & Quality Protocols


  • Tracking data from onsite field technologies, apps, and IoT sensors to minimize frequent site visits
  • Utilizing data to identify areas of potential noncompliance and assess trade performance
  • Building a dashboard from various sources, including safety records, quality assessments, and compliance reports, to ensure adherence to contract guidelines and responsiveness to incidents

12:30 pm
Lunch Break

1:30 pm Case Study: Standardizing the Data Collection Process to Facilitate Efficient Analysis & Reporting


  • Identifying the most useful data sets and sources that provide accurate and relevant information for your organization’s needs
  • Establishing standardized data entry formats to ensure the data collected is easily extractable
  • Specifying the optimal amount of data required for collection to ensure efficiency
  • Evaluating how to collect and analyze qualitative data such as safety, job progress, and client feedback

2:10 pm Extracting Raw Data From Various Sources Into a Central Hub to Drive Informed Decision Making


  • Evaluating why raw data extraction is so important to set the foundation for effective data management
  • Exploring best practices for extracting raw data from various systems and external sources
  • Determining whether to replicate raw data structures from the source or manipulate it during extraction to ensure accuracy and completeness

Improving the Efficiency of Extraction & Integration

2:50 pm Using APIs for the Integration of Disparate Construction Software & Data Sources to Optimize Workflows


  • Exploring how APIs provide real-time access to critical construction data from different software, enabling better decision making and project monitoring
  • Evaluating the pros and cons of using APIs for data retrieval in comparison to other methods
  • Determining the type of API that best aligns with your requirements, technical capabilities, and systems

3:30 pm
Afternoon Refreshments

4:00 pm Enhancing Efficiency of the ETL Process to Improve its ROI & Reduce Execution Time

  • Peter Young Information Technology Director, Enterprise Architecture, Granite Construction


  • Discovering the specific ROI for employing a robust ETL process: how does it save costs, improve project efficiencies, and drive decision making?
  • Introducing ETL best practices: how can a wellstructured ETL process enhance data quality?
  • Determining the steps required to transform and modify data to ensure it is relevant and meaningful
  • Benchmarking ETL tools, including coding solutions, and third-party tools, to understand which approach best fits your organization’s needs

4:40 pm Case Study: Bridging the Gap Between BIM & Data Analytics to Streamline Project Management


  • Discovering the impact of integrating BIM and data to provide project teams with a single source of truth for streamlined decision making and issue resolution
  • Establishing a standardized collection, integration, and analysis process for the BIM/VDC, field, and analytics teams to improve the analysis of project insights
  • Implementing integrations with custom connectors to extract project data for customized use

1:30 pm Improving Data Security to Stay Compliant While Safeguarding Your Business

  • Chris Palmer Director of Enterprise Intelligence and Security, PCL Construction


  • Exploring practical solutions and best practices for safeguarding sensitive data in the age of new language models, analytics/reporting tools, and cloud-based applications
  • Applying robust security measures, such as encryption, access controls, and firewalls to prevent unauthorized access or external breaches
  • Providing ongoing employee training and awareness to educate your teams on security best practices, and ensure they are protected against hacking and other security breaches

2:10 pm Case Study: Migrating to Cloud-based Solutions to Enhance Security, Scalability & Efficiency

  • Jacob Lee Senior Project Manager, Cochran Inc.


  • Learning how to effectively mitigate common challenges encountered during the migration process to minimize disruptions and seamlessly transition
  • Balancing the trade-offs between customization and centralization when using cloud platforms
  • Identifying the best cloud service that aligns with your current digital infrastructure

Investing in Smarter Infrastructure

2:50 pm Case Study: Investing in the Digital Infrastructure to Unlock Your Organization’s Potential for Innovation & Project Transformation

  • Chris Martin Vice President Of Technology, Mycon General Contractors


  • Evaluating your current technology landscape to strategically determine where IT infrastructure is required
  • Investing in the necessary hardware and cloud resources to hold the volume and complexity of your organization’s data
  • Selecting a solution that is scalable and can grow with your organization’s needs

3:30 pm
Afternoon Refreshments

4:00 pm Exploring the Data Storage Landscape: Data Warehouses vs Data Lakes vs Data Sources: Which Is Right for You?


  • Differentiating between data warehouses and data lakes to determine the best option: what are your firm’s data types, processing needs, budget, and analytics goals?
  • Exploring the advantages of data warehouses, data lakes, or real-time data: is it worth using these simultaneously to maximize the benefits for your organization?
  • Considering backup and disaster recovery plans to minimize the risk of lost data

4:40 pm Audience Discussion: Conducting Internal Audits to Ensure Consistent Compliance


  • Evaluating the significance of audits for safeguarding data security and ensuring data integrity
  • Recognizing the challenges of auditing data when it has not been a regular practice and how it can reveal critical insights
  • Benchmarking best practices from companies who conduct audits regularly to prevent reinventing the wheel

1:30 pm Using Project Data to Inform Corporate Financing & Cash Flow to Drive Growth & Profitability


  • Reaffirming the critical connection between project reporting and overall company health: how can consistent reporting methods across projects allow for precise projections for revenue, cash flow, and overall financial performance?
  • Establishing a central data repository: how to integrate project data with financial data into a centralized system for accurate and efficient analysis?
  • Streamlining data flow to allow seamless information exchange between project management and financial systems
  • Building contingency plans and identifying the major factors and variables that can impact cash flow to stay on budget

2:10 pm Audience Discussion: Enhancing External Dashboarding & Data Sharing Across Projects to Improve Communication to Your Client & Exceed Their Expectations


  • Sharing easily digestible insights with your client in real-time to reduce the need for back-and-forth while improving transparency and trust with your client
  • Moving away from traditional methods of printing reports and sharing PDFs towards embracing cloudbased solutions
  • Developing pre-designed, customizable report templates that include KPIs and metrics depending on their specific requirements

Optimizing Your Analytics ROI

2:50 pm Evaluating the Most Meaningful Metrics & KPIs to Drive Informed Decision Making

  • Adam Krob Information Technology & Process Director, Boh Bros. Construction Co LLC


  • Identifying and prioritizing the most valuable metrics at different phases of construction from estimation/ design to substantial completion
  • Building connections between operational metrics and company KPIs used for tracking company performance and for overall organizational health
  • Evaluating the value and effect of measures to determine their continued use by the company

3:30 pm
Afternoon Refreshments

4:00 pm Panel Discussion: Prioritizing the Most Profitable Analytics Initiatives for Business Growth

  • Adam Krob Information Technology & Process Director, Boh Bros. Construction Co LLC
  • Fred Meeske Senior Vice President of Technology, Engineering, Analytics & BIM, Rosendin Electric, Inc.
  • Caitlin Plein Vice President Data Analytics and Engineering, Clayco Construction Company
  • Sarah Griffin Data Analyst, Turner Construction Co


  • Discussing the analytics strategies that generate the highest return on investment: what are the low hanging fruits?
  • Aligning your analytics strategies with your organization’s broader business objectives to ensure that investments contribute directly to business growth and success
  • Learning the different methods and tools for quantifying and measuring the ROI for various analytics initiatives, including financial, operational, and strategic metrics

5:20 pm End of Conference Day One