Data & Analytics
Schneider Electric says the deal advances its vision of creating intelligent industrial ecosystems that connect physical assets with digital insights across the asset life cycle.
With the latest addition, the Italian major’s computational capacity passes the exaflop threshold, making the firm the world’s leading company by computing power in the new TOP500 global ranking.
This work describes a study in which distributed data parallel training, paired with a node-local caching pipeline, enabled efficient multigraphics-processing-unit scaling for a CO₂-storage graph-neural-network surrogate while maintaining generalization.
-
A technology initiative is changing more than the digital landscape at Murphy Oil. Since its deployment in November 2018, Murphy Labs is changing the very culture of the corporation. -
The need to optimize tank turnaround schedules is as great as it has ever been within the midstream sector, but traditional human-based tank inspections often cut into uptime while introducing safety risks. New robotic applications aim to alleviate these issues.
-
The world’s largest oilfield services firm and one of the largest providers of SCADA systems have formed a joint venture to create Sensia, an integrated automation suite.
-
A study of 25 years of artificial-intelligence research suggests the era of deep learning may come to an end.
-
The Oklahoma City independent has a new-look portfolio and new operational and financial priorities. And now it has enlisted an energy research firm to leverage advanced analytics and machine learning to help get the most out of its assets.
-
In 2015, the United Nations ratified the 2030 Sustainable Development Goals. Technology will be critical in the pursuit of these ambitious targets, but the pace and scale of change creates risks that humanity must take very seriously.
-
Inspection data management system software can help companies bolster their mechanical integrity programs, but choosing the wrong software can have a lasting impact on a company’s operations. So, what goes into finding the right software for your needs?
-
Most businesses understand that data is essential to improving operational performance and that data technologies provide opportunities for more-accurate risk assessment and control of safety-critical systems. Nonetheless, statistics show that the threat of cybercrime is growing.
-
For too long, owner/operators have managed operational profitability using paper-based processes or monthly reporting cycles. In the new technological climate, this approach has been proven to be less effective. Enter the industrial Internet of things.
-
Leading corporations seem to be failing in their efforts to become data-driven. This is a central and alarming finding of NewVantage Partners’ 2019 Big Data and AI Executive Survey.
