Data and AI in Construction

The major hurdle for software companies driving value from their machine learning investments is not a technological problem. The major challenge is the quality of the data used to train ML models and the product development strategies that are not adequate for ML-driven data products. This talk discusses the challenges in driving the ROI of ML-data products and provides a blueprint for product managers using actual examples in the Construction tech industry.