Our goal is to engineer an IoT design that encompasses prescriptive analytics. Prescriptive Analytics will show what actions should be taken to recitify a predictive result. Based upon scenarios, preventative measures can be taken to protect assets from a predicted event and adjusted in real time as the data and analytics model receive more accurate data. This data can then be used in real time to optimize assets in the field to maximize system profits or mimize the risk of a loss. Once prescriptive analytics is achieved artificial intelligence can be obtained enabling assests to act on their own data models and intelligence to improve themselves resulting in enhanced system performance.