EP 62: Nick Fornicola from Beusa Energy
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EP 62: Nick Fornicola from Beusa Energy
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このコンテンツについて
AI in oil and gas isn't just a buzzword, it's actually solving real problems out in the field. On this episode, we chat with someone who's knee-deep in the data trenches and building tools that make workflows faster, smarter, and way less painful. From using vibration data to predict when gear’s about to break, to training AI to read and summarize boring old PDFs, it’s all about turning raw info into real decisions. There’s even talk of automating SQL queries (so your data team can finally breathe). If you’ve ever wrestled with messy data or clunky systems, this one’s got some seriously cool insights.
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Click here to view the episode transcript.
00:00 - Intro
01:24 - Mistral's New API
05:02 - Multimodal Models in Data Pipelines
07:03 - Generative vs Deterministic Models
10:56 - Generative AI Program
11:52 - Generative AI in Oil & Gas Industry
18:05 - RAG Memory Capabilities
19:50 - Training Your Data Team
23:34 - Visa's Data Architecture Insights
33:10 - Why Choose Databricks
35:00 - Text to SQL Transformation
35:52 - Generative AI Applications
37:55 - AutoML Overview
43:19 - Technical Skills Erosion in Data
45:30 - N-Gen Projects and Innovations
48:40 - Vibration Data as Physical Measurement
51:33 - Insights from Vibration Data
55:26 - Personal Journey in Data
59:23 - Empowering Subject Matter Experts
1:00:09 - Formal Education vs Self-Taught Paths
1:05:35 - Speed Round
1:10:15 - End
1:10:48 - Favorite Vacation Destination
1:11:38 - Contact Ryan and Social Links
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