Get the latest tech news
From 30 days to 1: Chevron’s cloud migration ROI in real numbers
Chevron's agentic architectures must be able to process petabytes of data in the cloud and at the edge to support its critical operations.
Agentic architectures need to be able to process petabytes of critical data — which not only provides insights on where to drill, but how to do so without negatively impacting human lives or the environment — in the cloud and at the edge. The three companies have built Azure-native apps into SLB’s DELFI* cognitive exploration and protection (E&P) to help Chevron process, visualize, interpret and gain meaningful insights from multiple data sources. FDPlan utilizes high-performance computing (HPC) to integrate subsurface models, enabling employees to make faster and more informed decisions in complex environments, leveraging the best available data.
Or read this on Venture Beat