Based on the above problem statements, we collaborated with the client to build an advanced analytics solution for explainability and bias detection using the AI platform, integrated with Google Cloud Service incorporating: Ingesting data from Big Query Historical data of approx. 30,000 participants were divided into train and test groups. Store data in a data versioning repository Perform EDA, visualization, and transformation The push transformed data in the data versioning repository Create and train a Sklearn model and validate it against the test data Mitigate bias and rerun the pipeline Store the transformed data in a data versioning repository The entire setup of AGT resides on the Google platform and is closely integrated with the native stacks of Google provided tools & technologies such as Kubeflow, Kubernetes, Dataproc, and Big Query Cleaning, Transforming, Training Validation, Bias Detection By using AGT AI Solution the client leveraged high-end data connectivity, efficient data versioning, perform exploratory data analysis, and generate inferences using an intuitive process and through an industry-standardized manner. In a nutshell, all the above features in a single plate under the same hood make AGT AI an unbeatable AI Ops framework.