AI Articles and Analysis in Natural resources

Explore articles and analysis related to artificial intelligence in natural resources, including coverage of mining, agriculture, agtech, oil and gas, and more.

AI and B2B Customer Journey Signals – with Carlos Quezada of Hewlett Packard Enterprises@1x-min

AI and B2b Customer Journey Signals – with Carlos Quezada of Hewlett Packard Enterprises

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. 

Var.1_Streamlining Field Services with AI – with Leaders from Aquant, Xylem and Johnson Control

Streamlining Field Services with AI – with Leaders from Aquant, Xylem and Johnson Controls

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.

Avoiding Disurptions in Supply Chains with AI – Two Use Cases@1x

AI for Avoiding Supply Chain Disruptions – Two Use Cases

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.

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Emerj.com – 001 – AI at ExxonMobil-min

Artificial Intelligence at ExxonMobil – Two Applications at the Largest Western Oil Company

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

AI in Oil and Gas, Unlocking the Value of Data

AI in Oil and Gas, Unlocking the Value of Data

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

Information Extraction in Oil and Gas - Using AI to Find Oil

Information Extraction in Oil and Gas – Using AI to Find Oil

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. 

Artificial Intelligence in the Food and Beverage Industry

AI in the Food and Beverage Industry – 3 Current Use-Cases

Although it's apparent that AI development is slow-moving in the industry, food and beverage companies may be able to use AI for food processing, in particular:

Predictive Maintenance in Oil and Gas - Current Applications

Predictive Maintenance in Oil and Gas – Vendors and Use-Cases

The International Energy Agency’s latest annual gas market report, Gas 2018, estimated that global gas demand could reach more than 4,100 billion cubic meters (bcm) in 2023. This is an increase from 3,740 bcm in 2017. Greater gas demands mean more oil rigs, and the machines on these rigs break down.

Natural resources

Explore articles and analysis related to artificial intelligence in natural resources, including coverage of mining, agriculture, agtech, oil and gas, and more.