ECB wanted to be able to analyze more cricket matches than their manual process allowed and be more consistent in the analysis. They turned to Pythian to evaluate opportunities, to assess available data and to establish an AI roadmap to automate video labeling and expand cricket recording footage analysis beyond the capabilities of the human eye. ECB enlisted Pythian who had recently helped ECB with a cloud-based data platform that enabled ECB to to unlock the value of their data by integrating disparate data sets for greater insights. Pythian and ECB then turned to Google Cloud Platform because of its Machine Learning (ML) capabilities and cloud elastic compute and storage capacity that enables the assessment of large samples of sports game video footage, including televised footage, analyst-recorded footage, and specialized Hawk-eye captures for multi-dimensional ball trajectory analysis. Pythian analyzed samples of recorded matches and associated historically labeled events and its attributes, such as start of the delivery, overs, runs, wicket type, ball line and length, to assess suitability for ML solutions and applications of Google Vision API and TensorFlow-based deep learning models.