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DTSTART;TZID=Pacific/Honolulu:20260826T080000
DTEND;TZID=Pacific/Honolulu:20260826T090000
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SUMMARY:FREE AGC Webinar: Preconstruction Modernization: Reducing Risk with Connected Project Data and AI
DESCRIPTION:Description:Preconstruction is where project success begins\, yet many teams still struggle with fragmented information\, manual document reviews\, inconsistent project setup\, and limited visibility across project stakeholders. These challenges increase risk\, delay decision-making\, and often lead to costly downstream rework.Join Egnyte for an in-depth discussion on how leading contractors are modernizing preconstruction by creating a connected project information environment that brings together specifications\, contracts\, drawings\, BIM models\, RFIs\, and project communications into a single trusted source of truth.During this webinar\, we will demonstrate how connected project data\, standardized project workflows through Project Hub\, and AI-powered document analysis help construction teams improve constructability readiness\, accelerate document review\, strengthen collaboration between office and field teams\, and make more informed decisions before construction begins.Attendees will leave with practical strategies for building the information foundation needed to reduce project risk today while preparing their organizations for AI-powered construction tomorrow.\nLearning Objectives:After attending this webinar\, participants will be able to:● Explain how connected project data improves collaboration and constructability readiness during preconstruction.● Identify opportunities to standardize project setup and governance to improve consistency across projects.● Understand how AI can accelerate specification and contract review while reducing manual effort.● Apply best practices for building a trusted project information foundation that supports better project delivery and future AI initiatives.\nFeatured Speakers \nSatyam Verma\nEgnyte|Construction Practice Leader
X-ALT-DESC;FMTTYPE=text/html:Description:
Preconstruction is where project success begins\, yet many teams still struggle with fragmented information\, manual document reviews\, inconsistent project setup\, and limited visibility across project stakeholders. These challenges increase risk\, delay decision-making\, and often lead to costly downstream rework.
Join Egnyte for an in-depth discussion on how leading contractors are modernizing preconstruction by creating a connected project information environment that brings together specifications\, contracts\, drawings\, BIM models\, RFIs\, and project communications into a single trusted source of truth.
During this webinar\, we will demonstrate how connected project data\, standardized project workflows through Project Hub\, and AI-powered document analysis help construction teams improve constructability readiness\, accelerate document review\, strengthen collaboration between office and field teams\, and make more informed decisions before construction begins.
Attendees will leave with practical strategies for building the information foundation needed to reduce project risk today while preparing their organizations for AI-powered construction tomorrow.
Learning Objectives:
After attending this webinar\, participants will be able to:
● \; \; \;Explain how connected project data improves collaboration and constructability readiness during preconstruction.
● \; \; \;Identify opportunities to standardize project setup and governance to improve consistency across projects.
● \; \; \;Understand how AI can accelerate specification and contract review while reducing manual effort.
● \; \; \;Apply best practices for building a trusted project information foundation that supports better project delivery and future AI initiatives.
Featured Speakers \;
Satyam Verma
Egnyte|Construction Practice Leader \;
LOCATION:Virtual Training
UID:e.2683.1587360
SEQUENCE:3
DTSTAMP:20260723T102021Z
URL:https://business.gcahawaii.org/events/Details/free-agc-webinar-preconstruction-modernization-reducing-risk-with-connected-project-data-and-ai-1868861?sourceTypeId=Hub
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