Peter is a technologist and Sr. VDC manager at Dimeo Construction Company. spending the last 9 years in the construction industry to navigate Dimeo into leveraging and demonstrating the benefits of VDC in improving construction practices. He was formerly Directorof BIM & IT at Vision 3 Architects, where he led the integration of BIM into the design practice. With over 25 years of industry experience, Peter is responsible for shaping how VDC brings optimal benefits to construction and various project deliveries and lifecycle management. In addition, using his IT background in pursuing th ebenefits of machine learning and AI to the creation and advancement of best practices related to the integration of BIM-enabled technologies, Peter has also spoken at AGC BIM Forum on 2017 and is a past member of significant committees from the Construction Institute, University of Hartford and US Institute of Building Documentation.

Antonio Furgiuele is an architect, educator, and scholar, whose work explores the history and theory of the architecture of data and information. His current research project, “Towards an Adversarial Architecture,” investigates design methods that transform the built environment to influence AI technologies.

Antonio is an Associate Professor of Architecture at Wentworth Institute of Technology. He has taught at MIT, Pratt Institute, The City College of New York, Columbia University, and Parsons. He was a Research Fellow at the University of Wisconsin, Milwaukee (2014-16) and at the MacDowell Colony (2017). He has a BArch from Syracuse University and a master’s degree in History, Theory & Criticism of Architecture from MIT.

When Fast Company selected SGA as one of the Most Innovative Companies in 2018, the publication identified the firm’s capabilities in Virtual Design and Construction (VDC) as a key differentiator in scheduling and cost certainty. Michael played an instrumental role in attaining this honor: He has led the growth and development of the discipline since 2014.VDC is an ideal fit for Michael, who loves to discover and invent new technologies that enhance project outcomes. At the beginning of every commission, he on boards the project team and hosts an Execution Success Planning session, during which participants determine the most effective methods of delivery. Other pillars of his methodology include co-location of the development, design, and construction partners; bespoke project dashboards; and a variety of team building initiatives.

Al founded SGA in 1991 and has influenced the firm's growth over the past three decades. With studios in New York City and Boston, SGA serves a broad spectrum of clientele. Key market sectors include life sciences, large scaled urban mixed-use, high ed, commercial, residential and corporate interiors. SGA is an award winning practice and is also recognized as one of the Nation's most technologically advanced architecture firms. Al Spagnolo is a trustee at Wentworth Institute of Technology in Boston and serves on the Academic Affairs Committee. In addition, Al is a faculty member at WIT and leads a course on Virtual Design and Construction and the Dashboard. The course focuses on new technologies and tools and emphasizes the importance of platforms such as VDC as means to elevate the role of the Architect in project delivery. Al volunteers at and supports numerous non-profits including MGH and St. Anthony's Shrine.

Dr. Venkat Srinivasan, the Founder and Managing Director of Innospark brings deep expertise in AI and computational algorithms to the firm, especially computational linguistics combined with deep functional knowledge in multiple domains including finance and accounting. He has founded several successful AI-led startups, including eCredit (acquired by ICG) and Rage Frameworks (acquired by Genpact). Holding 8 patents, he has published over 30 research papers in peer-reviewed journals, co-edited two books, and is the author of The Intelligent Enterprise in the Era of Big Data. Venkat strongly believes that successful AI-led transformation will be characterized by traceability, context recognition and the ability to learn from sparse data environments through computational abstractions.