This episode explores why so many subsurface AI projects fail to move beyond the prototype stage and what it takes to successfully deploy AI in real-world workflows. Rather than building custom applications that require significant maintenance and specialized expertise, many organizations are finding greater success with platform-based solutions that already provide secure data access, scalable analytics, and trusted workflows. The discussion also separates genuine AI value from industry hype, highlighting practical use cases across interpretation, field development, and production analytics. Through examples from operators, investors, and consultants, the episode demonstrates how proven platforms can accelerate AI adoption and deliver results faster.
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