The primary business objectives for implementing AI are various, spanning a vast array of use cases and expected outcomes. Overall, while many organizations are seeking to leverage technology and data to expand their business success, customer and go-to-market considerations are not the top priority today. The prism is primarily dedicated to operational efficiency and profit enhancements as well as better leveraging and managing data as an asset. In time, organizations will focus more on customer experience and engagement, as this is only the beginning of new era. In the realm of traditional applications and workloads, losing data of any kind has never been a good thing for any organization. The same logic applies to AI, with the specter of data recreation costs at the top of the list of consequences.