The Analytics Bank is a master repository of numerous AI/Machine Learning models that can be leveraged to address specific set of problems across various industries. These models are developed as generic and scalable archetypes that can be customized to handle various formats of data from heterogeneous sources. For eg., in an industrial context some of these models can be used to develop ‘Digital Twins’ of processes or assets that can be used to understand the existing state and identify any deviation from an ideal or desired state. Another set of analytics can be leveraged to enable decision making from a commercial standpoint in situations such as sourcing, supply chain and logistics. These analytics shall leverage the Xformics IoT components for data acquisition and management to effectively model an optimum solution. From an implementation standpoint, the AI/Machine Learning models from the Analytics Bank can be deployed either onsite, on cloud or a hybrid framework depending upon customer requirements and sensitivity of the data.