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.