Long term goal of any financial institution is achieve the ability to address users with utmost experience within the boundaries of resources. It could only be a possibility when financial institutions adapt to intelligent systems. The success of such systems depends heavily on the intelligence. Deep Learning has provided a huge opportunity for financial institutions to start building and planning for such large scale intelligent systems which are multi-functional and adapt. In this talk, we will discuss about how we used Deep Learning, Vega as the platform and GPUs to build high scale automation use cases in Fraud detection to complex process automation in both banking and insurance.