While AI itself has been an active area of research for many years, it is increasingly used in a number of domains areas. Understanding the current boundaries of AI/ML and perspectives will play a vital role as participate in this journey. Cognitive services and DIY ML capabilities are providing easy access to this technology. While there is an uptake of data science there is a need to still have the base level frameworks that is required to build solutions that are safe and human interface-able. This talk will focus on vital aspects of state of this technology today and some orientations to define how to look at these technologies and integrating them to the real world use cases.