An exclusive virtual event consisting of top-level content and thought leadership discussions exploring the digital transformation ecosystem.
The Energy Industry’s requirements for real-time Trusted Quality-Assessed Data enable greater confidence in AI/ML technologies and accelerate insights for better business decisions.
Ryan Jarvis
Owner and CTO of RockNRG LLC at RockNRG
Ryan Jarvis, Owner and CTO of RockNRG LLC, has over 21 years of experience in upstream exploration in the energy industry. He has developed subsurface technologies, automated reservoir simulations, and invented stratigraphic analytics. As a thought leader for ExxonMobil, he has promoted digital transformation and industry standards to enhance AI and machine learning applications. Ryan will share insights on the need for real-time, quality-assessed data to boost confidence in AI/ML technologies.
Ryan Jarvis will share his views on new industry standards for trusted data, emphasizing how these standards spark greater integration and interoperability in the cloud. He will discuss the importance of real-time data validation in enabling greater automation, minimizing downtime, and enhancing productivity. Furthermore, he will highlight the critical role of production data verification in optimizing production and analytics. Ryan’s insights will showcase how these advancements can drive efficiency and innovation in the energy sector, ultimately leading to better business outcomes. His expertise underscores the significance of reliable, quality-assessed data in leveraging AI and machine learning technologies.
Ryan Jarvis will share his views on new industry standards for trusted data, emphasizing how these standards spark greater integration and interoperability in the cloud. He will discuss the importance of real-time data validation in enabling greater automation, minimizing downtime, and enhancing productivity. Furthermore, he will highlight the critical role of production data verification in optimizing production and analytics. Ryan’s insights will showcase how these advancements can drive efficiency and innovation in the energy sector, ultimately leading to better business outcomes. His expertise underscores the significance of reliable, quality-assessed data in leveraging AI and machine learning technologies.
- New industry standards for Trusted Data spark greater integration and interoperability in the cloud
- Real-time data validation enables greater automation minimizing downtime and enhancing productivity
- The Critical Role of Production Data Verification in Production Optimization and Analytics
For more on this conference or session access, reach out to us at info@ptnevents.com with your inquiries.
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