Chris Cameron is the Senior Vice President of Logistics at LINQ, where he helps oil & gas operators improve supply chain performance, operational execution, and decision-making through data-driven technologies. With extensive experience in logistics, well execution, and digital operations, Chris specializes in transforming fragmented operational data into actionable intelligence that enhances efficiency, reduces operational risk, and supports better business outcomes across complex upstream operations.
In his session, Chris will demonstrate how operational intelligence and AI are enabling oil & gas companies to convert data into measurable business value. Using LogistixIQ as a real-world case study, he will showcase how AI predicts supply chain risks, nonproductive time (NPT), and execution challenges, while automatically prioritizing recommendations to support field teams in real time. The session will also explore how operators can build operational data hubs that allow AI agents to monitor multiple contractors, identify emerging risks, and coordinate proactive actions before performance declines. Attendees will gain practical insights into overcoming challenges related to data quality, system integration, and change management when deploying enterprise-scale operational AI platforms.
Key Topics:
- Using AI to predict supply chain risks and reduce nonproductive time (NPT)
- Embedding AI-driven operational insights into daily field workflows
- Building operational data hubs for enterprise-wide decision intelligence
- Improving contractor coordination through AI-powered risk monitoring
- Overcoming data integration and change management challenges in operational AI
For more on this conference or to access the session, reach out to us at info@ptnevents.com.
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