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EP 62: Nick Fornicola from Beusa Energy

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Manage episode 473925721 series 3493211
Content provided by Digital Wildcatters. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Digital Wildcatters or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.

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.

Digital Wildcatters brings the energy community together through events, cutting-edge content, and powerful tools. Join our online community at collide.io. Engage with experts, level up your career, and ask Collide AI your toughest technical questions.”

Click here to watch a video of this episode.
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

https://www.instagram.com/digitalwildcatters
https://www.tiktok.com/@digitalwildcatters
https://www.facebook.com/digitalwildcatters
https://www.linkedin.com/company/digitalwildcatters
https://twitter.com/DWildcatters
https://www.youtube.com/@digitalwildcatters

  continue reading

66 episodes

Artwork
iconShare
 
Manage episode 473925721 series 3493211
Content provided by Digital Wildcatters. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Digital Wildcatters or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.

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.

Digital Wildcatters brings the energy community together through events, cutting-edge content, and powerful tools. Join our online community at collide.io. Engage with experts, level up your career, and ask Collide AI your toughest technical questions.”

Click here to watch a video of this episode.
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

https://www.instagram.com/digitalwildcatters
https://www.tiktok.com/@digitalwildcatters
https://www.facebook.com/digitalwildcatters
https://www.linkedin.com/company/digitalwildcatters
https://twitter.com/DWildcatters
https://www.youtube.com/@digitalwildcatters

  continue reading

66 episodes

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