Episodios

  • EP 64: Joshua Johnston from Capsher Technology

    EP 64: Joshua Johnston from Capsher Technology
    Apr 25 2025

    AI isn't just a buzzword in oil and gas, it’s changing the game, and we’re breaking it down with someone who’s been in the trenches making it happen. From smarter fracking and streamlined drilling to navigating the chaos of legacy systems, this convo peels back the curtain on what it *really* takes to build tech that actually works in the field. We’re talking massive data, modular design, edge computing, and the art of blending innovation with boots-on-the-ground practicality. If you’re curious how AI is actually showing up in energy (and not just living in PowerPoints), you’ll want to hear this one.

    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.
    00:00 - Intro
    00:37 - What Does Capsher Technology Do
    02:39 - Evolution of Software Development
    05:09 - Strengths of AI Technology
    06:26 - Overview of Collide Software
    09:04 - Understanding RAG Models
    10:09 - Implementing AI Solutions
    13:43 - Energy-Specific Software Development
    18:14 - High-Resolution Data Acquisition Techniques
    22:15 - Benefits of Containerization
    25:22 - Data Transfer to the Cloud
    29:20 - Frontend Technologies in Use
    30:33 - Introduction to GraphQL
    31:54 - Common Software Projects
    33:20 - Mobile Development Trends
    37:12 - AI-Assisted Software Development
    43:35 - AI Expectations vs. Reality
    47:34 - Journey into Technology
    50:45 - Speed Round
    55:56 - Where to Find Joshua Johnston

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    58 m
  • EP 63: Vicki Knott from CruxOCM

    EP 63: Vicki Knott from CruxOCM
    Apr 4 2025

    What happens when a control room engineer gets fed up with clunky old systems and decides to rebuild them from the ground up? You get CruxOCM, a company shaking up pipeline automation with tools like PipeBot and GatherBot that sound like sci-fi but are very real (and very efficient). Vicki Knott shares how she went from pulp and paper mills to leading a tech company that blends first-principles engineering with machine learning to make pipelines safer, faster, and smarter. We talk outdated SCADA, automation that actually works, and how merging physics with AI is unlocking massive ESG potential in midstream.

    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.
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    00:00 - Intro
    00:50 - Best Places to Build Software Companies
    03:20 - Evaluating Canadian Tech Talent
    06:15 - Vicki's Journey to Krux
    14:14 - IIoT vs SCADA Explained
    15:27 - Overview of Krux's Services
    17:50 - The Journey of Krux
    19:34 - Pipet Technology Insights
    20:35 - Data Access Solutions
    23:35 - Historic vs Modern Architecture
    26:50 - OUTRO
    27:01 - Krux vs Competitors Analysis
    28:30 - Understanding the Technology Stack
    29:30 - Onboarding New Clients Effectively
    34:00 - Krux and Microsoft Fabric Integration
    36:10 - Optimizing Maintenance with Krux
    37:23 - Krux's Connection to SCADA Systems
    39:14 - Impact of AI and LLMs on Business
    43:37 - Focus and Task Management Challenges
    44:29 - ESG Benefits in Energy Sector
    47:54 - Optimizing Energy Infrastructure Strategies
    49:25 - Understanding the Energy Sector
    50:55 - Silicon Valley's View on Energy Industry
    54:28 - Recommended Books for Entrepreneurs
    55:09 - Exploring Canadian Snacks
    56:24 - Dining Recommendations in Calgary
    57:20 - Favorite Vacation Destinations
    58:01 - Understanding Canadian Slang
    58:34 - Connecting with Vicki Knott

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    1 h
  • EP 62: Nick Fornicola from Beusa Energy

    EP 62: Nick Fornicola from Beusa Energy
    Mar 28 2025

    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.
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    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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    1 h y 14 m
  • EP 61: Brock Meyer from Wise Rock

    EP 61: Brock Meyer from Wise Rock
    Feb 12 2025

    Oil and gas engineers drowning in data, meet your new best friend—Wise Rock. We’re talking lightning-fast analytics, effortless communication, and a platform built to make your life easier. Brock Meyer, the brains behind it, joins us to share how his tech is slashing downtime, streamlining workflows, and bringing exception-based surveillance to the oilfield. Think real-time SCADA data, production forecasts, and well histories all in one sleek, intuitive interface. No more clunky systems or data black holes—just clean, contextualized insights that actually help you get ahead. Brock’s journey from petroleum engineer to tech founder is packed with lessons on modern data stacks, AI-driven decision-making, and why human-centered design is the future of oil and gas.

    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
    00:48 - Catching Up
    02:04 - Guest Introduction
    05:48 - Importance of Communication in Data Platforms
    08:52 - Foundation for AI/ML Models
    09:58 - Wise Rock’s Value Proposition
    12:45 - Early Days of Wise Rock
    21:22 - Data Visualization Techniques
    26:25 - Technology Stack Overview
    30:14 - Why Choose Dagsure
    33:53 - Market Penetration Strategies
    39:43 - Exploring TimescaleDB
    40:50 - Tech Deep Dive
    42:40 - Wise Rock's Industry Impact
    45:54 - Importance of Quality Data
    49:25 - Future Plans for Wise Rock
    52:50 - IronPython Reference Discussion
    55:44 - Speed Round Q&A
    59:58 - Where to Find Brock Meyer
    1:00:04 - Contacting Brock Meyer
    1:01:08 - Final Thoughts on the Episode
    1:01:33 - Outro

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    1 h y 3 m
  • EP 60: Onega Ulanova from QMS2GO

    EP 60: Onega Ulanova from QMS2GO
    Dec 12 2024

    From Kazakhstan to Louisiana and now shaking up the oil and gas industry, Onega Ulanova’s story is as bold as her startup, QMS2GO. This AI-powered tool is turning the grind of quality management into a smooth operation—automating audits, crafting training materials, and capturing wisdom from seasoned machinists. Inspired by her own experience as a quality auditor, Onega created QMS2GO to save quality managers hours (if not weeks!) of manual work. With plans to grow, fundraise, and launch a beta release, this tech is set to make waves for companies big and small. Plus, who doesn’t love a smart AI sidekick handling the heavy lifting?

    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
    00:55 - What is QMS2GO? | Quality Management System
    03:25 - Auditing Process | Compliance & Standards
    11:07 - Journey to Louisiana Tech | Educational Background
    12:01 - Moving to the US from Kazakhstan | Immigration Experience
    14:15 - Starting Your Own Company | Entrepreneurship Journey
    18:55 - LA New Product Development | Innovation Strategies
    21:20 - Transition from Industrial to Consumer Products | Market Shift
    24:24 - Early Products | Product Development History
    25:04 - Shark Tank | Pitching to Investors
    27:19 - QMS2GO Overview | Business Model
    29:10 - Building for Different Industries | Market Adaptation
    31:16 - Return to Auditing | Career Path
    33:35 - Bootstrapping | Funding Strategies
    34:34 - Responsibility of Taking Other People's Money | Financial Ethics
    38:44 - Strategic Investor Relationships | Funding Advice
    41:40 - Investor Skepticism | Business Viability
    45:08 - QMS2GO’s Users | Customer Base
    51:13 - How QMS2GO is Being Used | Practical Applications
    52:56 - Importance of User Feedback | Continuous Improvement
    55:33 - Raising Funds | Fundraising Strategies
    56:50 - Pricing Model | Business Strategy
    01:01:23 - AI in Cold Outreach | Technology in Marketing
    01:03:34 - Speed Round | Quick Questions
    01:03:54 - Things to Do in Ruston | Local Attractions
    01:04:33 - Best Restaurant in Houston | Dining Recommendations
    01:06:23 - Running a Company in Ruston | Business Environment
    01:08:04 - Best Place to Eat in Shreveport | Food Recommendations
    01:09:02 - How to Reach Andiega | Contact Information

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    1 h y 12 m
  • EP 59: Jacob Matson from MotherDuck

    EP 59: Jacob Matson from MotherDuck
    Dec 5 2024

    What happens when a lightning-fast database meets a quirky name like MotherDuck? You get DuckDB—an embeddable powerhouse shaking up the data warehouse world. It’s fast, it’s sleek, and it’s turning traditional multi-node setups into yesterday’s news. Jacob Matson from MotherDuck spills the beans on how they’re turbocharging DuckDB for the cloud, making it a dream for anyone juggling local and cloud workflows. Think edge computing, IoT magic, and SQL that's so smart it practically writes itself. Whether you’re crunching numbers in finance or wrangling data in oil and gas, this one’s for the data nerds who like their tech cutting-edge and their tools feather-light.

    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
    02:06 - DuckDB for Google Sheets
    05:24 - Jacob’s Journey to DuckDB
    11:05 - OLTP vs OLAP
    13:08 - DuctDB
    16:59 - MDSinaBox
    19:08 - NBA Jam
    20:05 - MDS in a Box
    22:19 - Running on the Edge
    23:56 - Chick-fil-A
    26:20 - DuckDB
    31:10 - Querying Data Where It Lives
    35:30 - ODBC vs Arrow DataFusion
    42:13 - Mothertuck
    42:55 - Motherduck
    46:25 - What is Mother Duck
    51:10 - Connecting BI Tools to Mother Duck
    52:55 - PG DuckDB
    54:33 - Using DuctDB with Postgres
    56:21 - DuctDB as Cache for Snowflake
    58:25 - ROI of Data Teams
    1:01:30 - Future of ELT
    1:05:20 - Embeddings in Data
    1:06:20 - Language Models in Analytics
    1:07:40 - Prompt SQL Techniques
    1:15:10 - DuckDB Pushing SQL Forward
    1:18:22 - Speed Round
    1:19:34 - Favorite Non-DuckDB Database
    1:20:28 - Favorite Video or Board Game
    1:21:07 - Best Places to Eat in Seattle
    1:21:37 - Tyson vs Jake Paul 2

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    1 h y 24 m
  • EP 58: Jon Brewton from data²

    EP 58: Jon Brewton from data²
    Nov 21 2024

    AI and energy might sound like an odd couple, but data² is making it a match made in industrial heaven. With their GraphRAG tech hitting 99% accuracy, they’re tackling billion-dollar challenges like well abandonment and lease block acquisition while rethinking how the energy sector uses AI. Led by John Brewton, who’s blended big-league experience from Chevron with cutting-edge tech smarts, the team’s unique mix of energy pros, tech experts, and even military minds is driving solutions that are agile, scalable, and downright impressive. This isn’t just about data—it’s about turning AI into a true industry game-changer.

    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
    03:36 - MIT Robot Learning Breakthrough
    06:24 - DataSqured’s Secret Sauce
    11:09 - Introduction to ContextSmith
    14:15 - Jon’s Background and Founding of ContextSmith
    21:59 - ExtraaD and Graph Usage
    23:40 - Understanding Graph Databases
    29:44 - Model Training Techniques
    32:28 - Introduction to RAG
    40:45 - Tech Community Challenges
    42:49 - Transition from POC to Production
    44:49 - AI Limitations: "I Don't Know"
    46:05 - Canvass AI Functionality
    54:35 - Data Integration into Models
    56:13 - A2D and Data Hosting Environments
    1:00:26 - Speed Round
    1:04:08 - Vector Databases Insights
    1:05:27 - Houston Restaurants Discussion

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    1 h y 10 m
  • EP 57: EZ Ops and Detechtion

    EP 57: EZ Ops and Detechtion
    Nov 14 2024

    Get ready for a deep dive into field data capture with Brandon Ambrose, the mastermind behind EZ Ops, and Ruchita Rosario, data science whiz from Detechtion. They’re breaking down how they’re making life easier for the folks on the ground in oil and gas by bringing AI and smarter data to field operations. Instead of drowning in raw data, operators now have tools that actually make sense of it all—highlighting what matters most, cutting the clutter, and boosting efficiency. From the roots of EZ Ops in Western Canada to becoming a game-changer for blue-collar teams, Brandon and Ruchita share how they’re building a smarter, more connected future for oil and gas.

    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.
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    00:00 - Intro
    01:14 - Detection and EZ Ops
    02:56 - How EZ Ops Started
    05:29 - Challenges of Field Data Capture
    08:26 - Achieving Consistent Field Data Capture
    13:18 - One Platform to Rule Them All
    18:01 - Reporting and Analytics
    20:10 - Advice for Entrepreneurs
    24:45 - Mobile First vs Web App First
    25:55 - What is a Progressive Web App
    28:35 - Original Tech Stack
    30:25 - Role of a Data Scientist
    34:35 - Snowflake and Sigma
    40:18 - AIML Applications for EZ Ops
    43:33 - Early Wins from Operator Optimization
    46:20 - EZ Ops Historical and Future Target Users
    53:00 - Gamification Strategies
    58:11 - Closing Remarks
    1:00:42 - Speed Round
    1:05:23 - Book and Podcast Recommendations
    1:09:04 - Where to Eat in Toronto
    1:10:55 - Finding Ruchi and Brandon

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    1 h y 14 m
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