Jon Brewton is the Founder & CEO of Data Squared (data2) and a strategic industry leader focused on transforming how organizations make high-stakes operational decisions with AI. With leadership experience at Chevron and BP, he has led complex, data-driven initiatives across upstream, midstream, and large-scale infrastructure operations. Through data2, Jon has pioneered a graph-powered, explainable AI platform that converts fragmented data into transparent, auditable intelligence, enabling faster and more confident decision-making across oil & gas operations.
In his session, Jon will explore how building a connected decision intelligence layer can address one of the biggest challenges in oil & gas—fragmented and non-queryable data across systems. He will discuss how critical decisions involving well performance, water management, vendor costs, and capital planning require unified access to data across multiple platforms. The session will highlight how graph-based AI systems can integrate these datasets into a single, queryable framework, reducing manual effort and improving decision speed. He will also share real-world deployment outcomes, demonstrating how organizations can achieve significant cost savings, faster analysis, and better operational visibility.
Key Topics:
- Challenges of fragmented and non-queryable operational data
- Building a connected decision intelligence layer across systems
- Role of graph-based and explainable AI in decision-making
- Improving operational efficiency, cost control, and visibility
- Real-world impact: faster analysis and measurable cost savings
For more on this conference or to access the session, reach out to us at info@ptnevents.com.
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