Driving Competitive Advantage through Oracle Cloud, Edge Computing, and AI

Organizations looking to transform their business with data are spending millions on automation capabilities, instrumentation, and digitization. These capabilities are being procured and deployed to make organizations more efficient by providing more insight into operations. This data-driven approach to operations can promote faster revenue growth, lower cost of goods sold, better margins, reduced risk, and improved competitive advantage. These organizations are involved in highly complex operations that generate large volumes of data representing the state of a physical system or a process at any given time. For instance, a typical offshore oilfield generates about 100 million time-series records per day; or an integrated steel plant generates data from all the sensors and instrumentation to the tune of about 5 million measurements per second1. These large volumes of high-speed data elements are used for actionable insights that drive business decisions.

A well-defined Information Technology – Operations Technology (IT/OT) architecture, consistency in technology capability in the data center and the edge, integration, data migration, data movement, and ease of use, become critical enablers for success. Furthermore, many organizations face skill gaps with their current employees and a shortage of available workers in the market today. Transforming the workforce and investing in highly specialized staff that understand complex IT, including cloud and edge computing technology, artificial intelligence, data science, digital twins, and individuals with the industry expertise to interpret the engineering and science behind the produced data, is a challenge.

Driving Competitive Advantage through Oracle Cloud, Edge Computing, and AI