The oil and gas industry has sensors on everything, which is good for data collection but bad for security. Each sensor acts as an endpoint that could be a potential in for cyber criminals. SparkCognition's cybersecurity system, DeepArmor, helps prevent these threats; learn how.
IoT & Machine Learning in Industrial Turbines
IoT & Machine Learning in Industrial Turbines. Industrial turbines are massive, complex, and expensive. Mai...
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2020 Energy Innovators: Recognizing Today’s Technology Influencers
Innovation and Digital Ingenuity Lead the Way for this Year's ADIPEC Awards
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eBook: AI Implentation in the Oil & Gas Industry
Companies that emerge the strongest from inevitable slowdowns are the ones who adopt innovative technologies. This booklet highlights how AI implementation can help O&G companies in three key areas.
The orchestration that precedes analysis
AI: the energy industry’s untapped resource
How emerging technology could transform oil and gas in ME
Customer Success Story: Improving Refinery Safety and Efficiency with AI at the Edge
Leading contract manufacturer, Texmark Chemicals Inc., has historically monitored their equipment manually and at high cost. Facing increasing costs and additional safety liabilities from this...
Aker BP uses SparkCognition AI solution to accelerate productivity
Exploring the impact of artificial intelligence on offshore oil and gas
Oil and gas companies shift workplace culture, focus on tech to woo younger generations
Reimagine Offshore Maintenance with AI
The oil and gas industry is a dynamic, ever changing arena. SparkCognition has developed AI-based predictive and prescriptive maintenance solutions to help companies adapt to the age of digitization.
How does cognitive software address safety concerns in the oil and gas industry?
Ali Raza, President of Dover Energy Automation, discusses how artificial intelligence is helping people in the oil and gas industry stay safe when monitoring wells. Read more about AI in the oil & gas
Five exploration technologies for the offshore industry
Customer Success Story: Identifying Non-Productive Time and Invisible Lost Time on Oil Rigs
Non-productive time is a great enemy for oil and gas operators. E&P operators need to better categorize and analyze rig activities to track and eliminate non-productive time and invisible lost time.
How Algorithms Are Taking Over Big Oil
Automation and Data Technology Showcase
SparkCognition Adds Artificial Intelligence to Aker BP's Operations
Energy Experts Share Big Data Insights