

Maisara Al Rais
Maisara graduated as an architect with a proven track record of successfully delivering projects at various stages, from feasibility studies to commissioning. With 21 years of experience in project delivery management, and has been involved in diverse projects such as building, rail, and significant infrastructure.
Maisara has led the implementation of digital transformation in various organisations and projects, delivering several 4D/5D/7D BIM projects on both the client and contractor sides. And has extensive experience using data analytics to drive data-driven decisions in project management, connecting asset data with designed models, and ensuring optimal project outcomes.
What to expect during the event
This presentation explores the transformative potential of integrating data science into Digital Engineering and Building Information Modeling (BIM) for the construction industry. With the growing emphasis on data-driven decision-making, the session highlights how advanced analytics, predictive modelling, and data integration redefine project delivery, lifecycle management, and sustainability outcomes.
Key topics include:
Digital Engineering Evolution – Understanding BIM’s role in modern construction and integration with data science.
Data-Driven Decision-Making – Harnessing predictive analytics, machine learning, and big data to improve construction efficiency and reduce risks.
The Future of Construction Data – Exploring trends such as real-time data insights, digital twins, and artificial intelligence for more intelligent and sustainable construction.
Case Studies in Action – Demonstrating practical applications, including Autodesk Data Connector, Power BI, and Bentley iModel.
Key Learning Outcomes:
Discover how integrating data science with BIM enhances construction project outcomes.
Learn strategies for leveraging analytics to address design, construction, and asset management lifecycle challenges.
Explore emerging trends and tools shaping the future of digital engineering and construction data management.
The Intersection of BIM and Data Science in Construction
