Abstract:    We are basically concerned with the efficient execution of work processes, so the main goal is to have that execution streamlined, automated, and optimized. Predictive analytics, helps when equipment has been instrumented, sensors put data into the cloud, then machine learning algorithms assess that data, and in conjunction with historical information, come up with a predictive model which companies can rely on for execution. Optimized model helps in to use maximum advantage to assess the situation in real time and trigger action based on assessment leading to a broad scale IoT approach. To realize the value from an IoT solution, an organization’s enterprise software must capture data effectively, present it in real time, and make it actionable. The strength of digital transformation is not in the individual technology, but how different technologies reinforce each other at the same instant.

Learning Objectives

How digital transformation improves efficiency and margin of the company and beat the peers.
Digitally-connected assets to reduce costs, shorten schedules and minimise risk using advanced technology and solutions in oil and gas operations?
To develop a robust digital strategy to increase agility, support better strategic decision-making and achieving a granular view into operations.