AI Articles and Analysis in Natural resources

This article is sponsored by Arkestro and was written, edited, and published in alignment with our Emerj sponsored content guidelines. Learn more about our thought leadership and content creation services on our Emerj Media Services page.

This interview analysis is sponsored by Arkestro and was written, edited, and published in alignment with our Emerj sponsored content guidelines. Learn more about our thought leadership and content creation services on our Emerj Media Services page.

Companies that use AI copilots experience numerous benefits, including streamlined processes, improved customer experience, and cost savings. Large language models (LLMs) form the basis of many AI copilot applications. While LLMs have a remarkable capacity to generate humanlike text, that same capability is the reason businesses need to exercise caution in order to prevent misapplications of this otherwise transformative technology. 

This interview analysis is sponsored by Aquant and was written, edited and published in alignment with our Emerj sponsored content guidelines. Learn more about our thought leadership and content creation services on our Emerj Media Services page.

This article is co-authored by Rudrendu Paul

Global supply chains face mounting disruptions - pandemic aftershocks, geopolitical conflicts like the Ukraine war, climate events like flooding in Malaysia, and cyber-attacks - all of which have created massive bottlenecks. According to the World Economic Forum, global supply chains are facing the worst shortages in 50 years due to the pandemic and the war in Ukraine.

ExxonMobil is the largest investor-owned company in the world and the largest oil company by revenue in the Western world.

This article has been sponsored by Iron Mountain, and was written, edited, and published in alignment with Emerj’s sponsored content guidelines. 

Oil and gas companies face many of the same challenges as large banks and established insurance firms when it comes to searching through their backlogs of documents. They want to use the data stored within these documents to make decisions on where to drill and determine whether or not they’re in compliance with laws and regulations.