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Data-Rich but Insight-Poor: How Construction’s Blind Spot Costs Billions with Mason Hennings
Manage episode 506900972 series 3672031
المحتوى المقدم من J.P. Scott. يتم تحميل جميع محتويات البودكاست بما في ذلك الحلقات والرسومات وأوصاف البودكاست وتقديمها مباشرة بواسطة J.P. Scott أو شريك منصة البودكاست الخاص بهم. إذا كنت تعتقد أن شخصًا ما يستخدم عملك المحمي بحقوق الطبع والنشر دون إذنك، فيمكنك اتباع العملية الموضحة هنا https://ar.player.fm/legal.
In this episode of Beyond the Build: Innovation in Construction, hosts Scott Lowman and J.P. Scott are joined by Mason Hennings, a Senior Estimator at Traylor Bros, to share what it’s really like working on billion-dollar bridges, from custom seal slabs to hurricane delays to the logistics of porta-potty barges.
What You’ll Learn:
- Why AI will complement but never replace construction estimators due to the critical need for physical accountability
- How to leverage machine learning for specific, explainable outcomes in construction estimation
- The crucial role of data-driven decision-making in managing multi-billion-dollar infrastructure projects
- Why construction is "data-rich but insight-poor" and how to transform raw data into actionable outcomes
- How to effectively coordinate complex marine construction projects
Mason Hennings is a Senior Estimator at Traylor Bros, a leading heavy civil contractor specializing in large-scale infrastructure projects. With a degree in Construction Engineering Technology from Louisiana Tech University, he has pioneered the integration of predictive analytics and machine learning in preconstruction workflows. His experience spans major projects, including the Howard Franklin Bridge ($1.8B) and the Tappan Zee Bridge, where he has been instrumental in improving estimation accuracy and operational productivity through data-driven approaches.
Tune in for a look at the hidden costs of construction and the unique approaches that can help solve for them!
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