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Our Advisors facilitate webinars that provide cutting-edge industry best practice, research, and technology updates to global construction professionals. Join us for our next session. 

Learn Something New Today 

Our Advisors bring their construction experience and expertise to the forefront of industry by sharing their knowledge and findings with industry-leading practitioners. Whether you're a front-line worker or a seasoned executive, you'll find a topic of interest in our upcoming sessions or within our webinar library. 

Our webinars are always complimentary. Join us at our next session. 

Deep learning in Construction 

Learn how deep learning empowers teams to solve problems and improve project performance.

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Do you understand when and how to apply deep learning algorithms to your available data? Do you know the difference between classical machine learning and deep learning? Lastly, are you confident that your data is suitable for machine learning projects?

If you’re trying to understand how to use machine learning to your advantage and optimize project performance, you’re not alone!

The rate at which technology has advanced in the past couple of years has allowed the public to use both machine learning and deep learning algorithms with reduced bottlenecks. However, due to this technology “eruption,” unrealistic expectations have developed when utilizing machine learning to improve project performance. One such expectation is that project performance will improve by randomly applying these algorithms to project data, which is often an unrealistic goal. Furthermore, organizations must consider the design of the machine learning and deep learning algorithms to implement a machine learning solution to an industry-based problem successfully.

This webinar will explore the similarities and differences between classical machine learning and deep learning. Further, it will help organizations decide if the data collected is feasible for machine learning and their project problem. Lastly, this webinar will discuss real-life construction-based issues that optimize machine learning usage.

Attendees of this webinar will learn the following:

• Understand when to use classical machine learning vs. deep learning.
• Identify if an organization’s data is feasible for the proposed project problem .
• Correctly identify a business problem where machine or deep learning methodologies can be applied to improve outcomes.
• Learn strategies and tactics to leverage machine and deep learning to produce measurable project improvements.

Date: October 5th, 2022

Time: 9:00 AM PST

Duration: 30 Mins

Presenter: Edwin Aguirre

Advanced Work Packaging - Demystifying the Transition from Bulk Construction to Systems Completion

Learn how focusing on the back end of your AWP process early in the project plan yields measurable efficiencies.


Do you have a clear picture of your project’s bulk construction to system-based turnover process? How confident are you in your WorkFace planning process when transitioning from Construction to Commissioning? Do you have a clear correlation between TWPs and IWPs?


If you’re questioning these critical project interface points, you’re not alone.


Advanced Work Packaging (AWP) was coined an industry best practice by the Construction Industry Institute (CII) in 2015. Since then, it has been implemented on greenfield and brownfield projects globally. Many organizations and best practice practitioners thoroughly understand the concepts and methodologies that make AWP successful. From defining the Path of Construction, breaking Construction Work Areas (CWAs) into Engineering Work Packages (EWPs) and Construction Work Packages (CWPs), and building and executing Installation Work Packages (IWPs), project teams are making significant progress in applying AWP to increase project performance potential.


But AWP can grind to a halt at the end of a project, causing confusion and frustration if not properly structured. Transitioning from bulk construction to systems completion creates a substantial challenge for project teams deploying AWP. Closing out IWPs, managing punch lists, developing Test Work Packages (TWPs), and tracking the progress of system completions by IWPs are challenging without the proper systems and data streams to visualize status. The team may stumble if the AWP program isn’t structured to manage this transition.  

Within this webinar, we will explore the transition from bulk construction to systems completion and provide details on how AWP programs can be structured to support the team in successfully navigating this transition. Join us to learn how you can use the AWP backward pass approach to increase AWP program potential as you near the end of your project.

Attendees will learn:

  • Strategies for transitioning from bulk construction to system-based construction methodology using AWP

  • About Test Work Packages (TWPs), including contents and development timing

  • The correlation between TWPs and IWPs

  • Strategies and tactics for tracking system completions via IWPs

  • Reasons for efficient IWP closeouts and creating punch lists or a “System Work to-go Package” (SWP)

Date: September 14, 2022

Time: 9:00 AM PST

Duration: 30 Mins

Presenter: Barry Cymbaluk

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