Episode 433: Creating a Value-Delivering AI Application with Samer El Issa
From Pipeliners Podcast by Russel Treat
March 24, 2026 · 34 min · Season 1 · Episode 433
About this episode
The episode discusses the application of AI in pipeline and measurement operations with insights from Samer El Issa.
This episode of the Pipeliners Podcast features a conversation with Samer El Issa of FloSeer about applying AI to solve real-world challenges in pipeline and measurement operations. The discussion covers how different types of AI, including large language models, mathematical models, and agent-based systems, can be used together to deliver practical and reliable outcomes, as well as the key considerations involved in building effective AI-driven applications. Listeners will gain insight into how AI is evolving beyond basic use cases, along with the importance of context, data control, and system design in turning AI into a tool that drives measurable operational value. Visit PipelinePodcastNetwork.com for a full episode transcript, as well as detailed show notes with relevant links and insider term definitions.
People in this episode
Host: Russel Treat
Guest: Samer El Issa
Topics covered
- AI applications
- pipeline operations
- measurement operations
- large language models
- system design
- data control
Keywords
- AI
- pipeline
- measurement
- large language models
- agent-based systems
- operational value
- data control
Mentioned in this episode
Organizations: FloSeer, PipelinePodcastNetwork.com
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