Global population will reach 9 billion by 2050, placing tremendous pressure on the construction industry to deliver new facilities. As the industry tries to meet this demand, construction projects have grown both in size and complexity, while the workforce dynamics have also continued to evolve. Construction companies need to deliver more complex projects with a less experienced workforce. Model-based project collaboration can help the project execution teams better manage project complexity however this process has many challenges including the use of multiple file formats preventing the use of building information models to increase project efficiency. SAP recognized this industry challenge and has created the SAP Project Intelligence Network for Construction, which enables both internal and external project stakeholders to collaborate using a digital twin. This gives construction companies not only the mobile tools they need to better collaborate on projects but enhances project execution by tying tasks and activities to a digital twin. Join this session to learn more how technology advancements in the area of digital twin can help construction companies and project owners manage project complexity and risk.
After receiving his Bachelor’s degree in Electrical Engineering, Johnny began his professional career as an Intelligence officer in the US Army specializing in signals intelligence. During Desert Storm, his unit was recognized by the director of the Army Intelligence Agency for their contributions to intelligence operations.
During his fifteen plus years in the construction industry, Johnny developed an in-depth knowledge of construction industry best practices, systems, and means & methods. He served in the field as a Project Engineer, Project Manager, and Senior Project Manager. His executive experience includes roles as a District Manager & President. During his career he has led teams implementing operational excellence best practices in areas such as Quality Control (QC), Building Information Modeling (BIM), Project Forecasting, Business Planning, and LEAN construction. Johnny’s experience also includes managing real estate development and lease portfolios.
His most recent experience prior to joining SAP includes leading ERP implementations at two Construction Companies where he demonstrated a unique ability to translate industry requirements into software solutions. Johnny is a LEED Accredited Professional, has held contractors licenses in multiple states, and previously served on the Standards of Practice committee for CMAA (Construction Management Association of America) and is currently participating in the World Economic Forum’s Future of Construction Working Group. He the currently the Global head of SAP’s Industry Business Unit Real Estate and Construction, where he works with customers to find innovative solutions to business problems.
Global population will reach 9 billion by 2050, placing tremendous pressure on the construction industry to deliver new facilities. As the industry tries to meet this demand, construction projects have grown both in size and complexity, while the workforce dynamics have also continued to evolve. Construction companies need to deliver more complex projects with a less experienced workforce. Model-based project collaboration can help the project execution teams better manage project complexity however this process has many challenges including the use of multiple file formats preventing the use of building information models to increase project efficiency. SAP recognized this industry challenge and has created the SAP Project Intelligence Network for Construction, which enables both internal and external project stakeholders to collaborate using a digital twin. This gives construction companies not only the mobile tools they need to better collaborate on projects but enhances project execution by tying tasks and activities to a digital twin. Join this session to learn more how technology advancements in the area of digital twin can help construction companies and project owners manage project complexity and risk.
