AI isn’t just showing up in oil and gas, it’s kicking the door down. We hung out with Bella Kelada-Khalil from Midnight Marketing, who’s diving headfirst into petroleum engineering and AI after starting in sales and events. She’s asking the smart, unfiltered questions you wish you could, and we’re here for it. We swap stories on how AI is automating the boring stuff, making data wrangling less painful, and helping teams actually trust what they’re looking at. From LangChain setups to sketchy data rooms, it’s all on the table. This one’s for anyone wondering how tech and tradition can play nice in the field.

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00:00 - Intro
01:40 - Flipping the Table
07:00 - Journey to AI Adoption
13:34 - Understanding AI, ML, and LLM
15:37 - AI vs Machine Learning vs LLMs Explained
17:23 - The Power of LLMs
20:55 - Starting Platforms for AI
22:24 - Free vs Paid AI Models
28:15 - Starting Points in Petroleum Engineering
30:06 - Essential Learning Before AI
31:42 - Building a Data Foundation
34:40 - LinkedIn's Data Insights
37:25 - AI-Generated Video Content
41:10 - Authenticity in AI Creations
44:35 - AI in Due Diligence Processes
49:00 - Training Duration for AI Models
51:15 - Optimal Efficiency in AI
54:51 - Successful AI Use Cases in Production
58:50 - Tech Stack Essentials
1:03:04 - Data Accessibility Challenges
1:08:24 - Barriers to AI Adoption in Oil & Gas
1:12:15 - LLMs vs Other Tech Hypes
1:17:46 - Outro

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