Big Data-Powered Machine Learning for Operational Excellence: A Case Study Analysis for Oil & Gas
Abstract Drilling and workover operations represent a crucial part of a well lifecycle in terms of deliverability and economics....
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Statistical Machine Learning for Intelligent Operations
Abstract Digitalisation in its various shapes of artificial intelligence, machine learning or big data analytics is slated to add...
How To Accelerate Intelligent Automation Adoption In The Oil And Gas Industry?
With assets that are often located in remote and hostile environments, it is essential to have reliable and efficient methods for...
Future-Proofing Asset Management With Predictive Maintenance
Predictive maintenance is an important tool that can help oil and gas conglomerates to improve asset reliability, reduce costs, and...
The futuristic customer-led model powered by digital twins
AI and automation form the backbone of digital twins. By feeding the digital twin with data, enterprises can test the physical...
Re-imagining future product development with intelligent automation and digital twins
Enterprises must leverage intelligent automation and AI to fuel digital twins with modelling and data to reshape the future of the...
Why should oil and gas enterprises embrace the digital twin technology?
Globally, leading oil and gas companies are strengthening their frameworks to increase resilience and agility, by leveraging automation....
53% growth of intelligent automation in the oil and gas industry
The majority of oil and gas companies globally are distressed with their current manual operating systems. Businesses are implementing...
3 stages of an enterprise automation program lifecycle
There are clear guidelines that help companies prepare for their automation projects and leverage sustainable competitive advantage by...
5 questions to ask before commencing your automation journey
Leading enterprises worldwide are moving their value chains towards an automated system. However, the progress of all automation...
How to build enterprise resilience through intelligence automation
According to current research, organisations will spend $2.4 billion on RPA and IA transformation in 2022. As hyper-automation and...
4 ways RPA and BPM are relationally valuable to optimise CX
RPA systems represent an incredible tool for rapidly revitalizing companies that handle massive data transactions, to energise CX.
3 steps to designing a strong data foundation for AI implementation to transform CX
According to a survey Customer Experience Live conducted in April 2021, the most popular AI applications that require structured data includ
3 reasons why intelligent automation should be your best friend
Intelligent Automation (IA) and Artificial Intelligence (AI) will continue their quest to enable organizations to innovate and...
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