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AI for Smarter Construction Projects (With Alan Mosca)-Ep #202
Manage episode 507994956 series 3451071
A deep dive into how AI is transforming construction project management by predicting delays, reducing risk, and reshaping the future of the industry.
About the Episode:
The construction industry is notorious for its delays, cost overruns, and risk-filled projects — but could AI finally change that? In this episode, Marc speaks with Alan about how his company uses machine learning and a database of over 2.5 million years of project data to predict and mitigate delays in large-scale construction. With real-world case studies, including helping a Boston hospital navigate COVID-related setbacks, Alan explains how AI-driven tools can improve contractor management, optimize bidding, and reimagine project planning.
The conversation also digs into deeper questions: why construction has been slow to adopt new technology, whether white-collar planning jobs are more at risk from AI than physical construction roles, and how automation could redefine what it means to be a project manager. If you’re curious about how AI is moving beyond digital industries to tackle one of the world’s most complex, physical sectors — this episode sheds light on where construction is heading and what it means for jobs, risks, and the built world around us.
About the Guest:
Alan Mosca is the Co-founder and Chief Technology Officer at nPlan, an AI company that forecasts the outcomes of construction, engineering, and infrastructure projects—reaching over $500 billion worth of projects every year. With a background in quantitative finance and machine learning, Alan brings deep technical expertise to one of the world’s most complex industries: construction project management. His work focuses on preventing the negative impacts of delays by applying AI to scheduling, planning, and risk assessment at scale.
Beyond his role at nPlan, Alan is also an active advisor, mentor, speaker, and board member, known for bringing together AI and business with a touch of humour. His insights connect the hard numbers of project data with the human factors of decision-making, making him a unique voice on the future of AI in physical industries.
Website: https://nplan.io/
Linkedin: https://www.linkedin.com/in/nitbix/
Timestamps:
00:01:03 - Episode Commences
00:03:11 - AI in Construction Project Management
00:13:07 - Construction Project Management Challenges
00:17:35 - Challenges in Physical Project Management
00:21:00 - Improving Construction Bidding Accuracy
00:30:24 - AI-Driven Project Management Optimization
00:38:00 - AI Adoption in the Construction Industry
00:49:24- AI's Role in Artistic Professions
00:52:12 - Episode Concludes
Additional Notes:
For more check out the website: https://futuretechandforesight.com/
Or connect with me on –
Twitter: https://twitter.com/FutureTech_Pod
Linkedin: https://www.linkedin.com/company/futuretechandforesight/
203 episodes
Manage episode 507994956 series 3451071
A deep dive into how AI is transforming construction project management by predicting delays, reducing risk, and reshaping the future of the industry.
About the Episode:
The construction industry is notorious for its delays, cost overruns, and risk-filled projects — but could AI finally change that? In this episode, Marc speaks with Alan about how his company uses machine learning and a database of over 2.5 million years of project data to predict and mitigate delays in large-scale construction. With real-world case studies, including helping a Boston hospital navigate COVID-related setbacks, Alan explains how AI-driven tools can improve contractor management, optimize bidding, and reimagine project planning.
The conversation also digs into deeper questions: why construction has been slow to adopt new technology, whether white-collar planning jobs are more at risk from AI than physical construction roles, and how automation could redefine what it means to be a project manager. If you’re curious about how AI is moving beyond digital industries to tackle one of the world’s most complex, physical sectors — this episode sheds light on where construction is heading and what it means for jobs, risks, and the built world around us.
About the Guest:
Alan Mosca is the Co-founder and Chief Technology Officer at nPlan, an AI company that forecasts the outcomes of construction, engineering, and infrastructure projects—reaching over $500 billion worth of projects every year. With a background in quantitative finance and machine learning, Alan brings deep technical expertise to one of the world’s most complex industries: construction project management. His work focuses on preventing the negative impacts of delays by applying AI to scheduling, planning, and risk assessment at scale.
Beyond his role at nPlan, Alan is also an active advisor, mentor, speaker, and board member, known for bringing together AI and business with a touch of humour. His insights connect the hard numbers of project data with the human factors of decision-making, making him a unique voice on the future of AI in physical industries.
Website: https://nplan.io/
Linkedin: https://www.linkedin.com/in/nitbix/
Timestamps:
00:01:03 - Episode Commences
00:03:11 - AI in Construction Project Management
00:13:07 - Construction Project Management Challenges
00:17:35 - Challenges in Physical Project Management
00:21:00 - Improving Construction Bidding Accuracy
00:30:24 - AI-Driven Project Management Optimization
00:38:00 - AI Adoption in the Construction Industry
00:49:24- AI's Role in Artistic Professions
00:52:12 - Episode Concludes
Additional Notes:
For more check out the website: https://futuretechandforesight.com/
Or connect with me on –
Twitter: https://twitter.com/FutureTech_Pod
Linkedin: https://www.linkedin.com/company/futuretechandforesight/
203 episodes
All episodes
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