Build Wise

Machine Learning in Construction: An Introduction (part 1 of 2)

Machine Learning in Construction: An Introduction (part 1 of 2)

Machine learning is an exciting concept in the construction industry. To us at Enstoa, where we specialize in finding meaning in construction project data, machine learning helps improve processes and project outcomes.

By applying machine learning techniques to the project record, we can improve our understanding of performance trends, identify areas of opportunity for continuous improvement initiatives, and make better decisions faster by leveraging our data as a decision support system.

Can Blockchain Fix The Construction Industry’s Productivity Problem?

Can Blockchain Fix The Construction Industry’s Productivity Problem?

In construction, value is created by funding and completing the right projects safely and efficiently. Delivering projects faster and at lower cost produces higher returns. 

Unfortunately, the construction industry lags behind other industries in ways that hurt those returns. The global economy, for instance, has improved productivity at over twice the rate of the construction industry. Manufacturing boasts a productivity improvement rate over three times as high. 

Key Metrics & Predictors

Key Metrics & Predictors

Working in capital projects for the past decade, Enstoa has developed a suite of metrics to help capital-intensive companies to better understand how well their capital program is delivering value, to provide insight into performance trends, and to identify areas of improvement.