Oil & Gas companies in both Upstream and Downstream are continuously striving to optimize overall equipment effectiveness, performance and profitability, without the need to invest in asset upgrades and innovations, within a highly volatile and regulated environment. These companies sit on a wealth of data being generated from sensors, instruments and assets, and the amount of data being created is only increasing. Traditional methods of “big data” solutions require complex IT projects and data scientists to build and maintain models. Aside from being costly and time-consuming, this way of working can also create resource bottlenecks in the organization and underutilize the process and asset experts.