All Episodes

Rudy Lacovara is on a mission to untangle the messy data spaghetti that runs through oil and gas. He built PetroBricks to be the “Zapier for energy”, a way to connect clunky systems, automate the repetitive stuff, and make workflows actually make sense. We got into the pain points everyone in the industry knows too well: outdated data standards, SCADA headaches, and the constant struggle to automate without breaking things. Rudy shared how his aerospace background shaped the way he approaches energy tech, why MQTT matters, and how low-code platforms could finally change the game for operators. If you’ve ever wished your data systems would just talk to each other, this one’s for you.Click here to watch a video of this episode.00:00 - Intro00:44 - Houston Energy and Climate Week02:56 - PetroBricks Overview06:36 - What is PetroBricks?09:58 - PetroBricks Location12:45 - Sparkplug B Overview14:07 - Common Integrations17:02 - Data Acquisition from Service Companies19:12 - Journey into Tech24:34 - Inspiration for PetroBricks28:05 - Entry into Oil and Gas31:15 - Issues with Frac Data34:55 - PetroBricks Insights38:58 - Tools Used by Matt41:18 - Akka Framework43:58 - AI Coding Tools Overview46:04 - PetroBricks Technology Stack48:49 - Understanding Containers51:01 - Benefits of Containers54:33 - Speed Round59:30 - Favorite Vacation Destination59:35 - Preferred LLM for Problem Solving01:01:09 - Houston Insights01:01:29 - Book Recommendation01:03:54 - How to Connect with Rudyhttps://twitter.com/collide_iohttps://www.tiktok.com/@collide.iohttps://www.facebook.com/collide.iohttps://www.instagram.com/collide.iohttps://www.youtube.com/@collide_iohttps://bsky.app/profile/digitalwildcatters.bsky.socialhttps://www.linkedin.com/company/collide-digital-wildcatters

AI is shaking things up in oil and gas, and Hussam Rahman is right in the middle of it. He’s the founder of AAI Agency and the brains behind tools like Petri, a copilot built for engineers, and the Business Toolkit that helps companies cut through messy workflows. We got into how AI is solving everyday headaches, think bad data management, clunky reporting, and inefficient processes, while opening the door to automation and smarter decision-making. Hussam’s mix of industry experience and forward-thinking tech makes for a conversation that’s equal parts practical advice and big-picture strategy on where AI is taking the energy world next. Click here to watch a video of this episode.00:00 - Intro04:56 - What does AAI stand for05:05 - Do You Really Need AI?11:00 - AI in the Oil & Gas Industry12:22 - Importance of Quality Data13:38 - Data Engineering in Machine Learning15:04 - AI as a Tool in Industry16:25 - Use Cases for Large Language Models19:29 - Explainability in AI23:18 - LLMs: Answers vs. Correct Answers24:30 - Petrie Overview25:30 - Context in Data Analysis30:59 - Data Storage Solutions34:59 - Career Path Insights39:34 - Petri Excel Add-In Features43:24 - Career Progression from Hess48:30 - Prototyping Importance50:15 - Rapid Prototyping with AI52:53 - Solopreneurship Opportunities53:00 - Tools in Your Tech Stack58:35 - Arc Overview01:01:06 - Speed Round01:02:54 - Things to Do in Qatar01:02:30 - Best Coffee Shops in Houston01:02:55 - Language Model Preferences01:04:45 - Current Reading List01:06:24 - Contacting Hussam01:06:40 - Outrohttps://twitter.com/collide_iohttps://www.tiktok.com/@collide.iohttps://www.facebook.com/collide.iohttps://www.instagram.com/collide.iohttps://www.youtube.com/@collide_iohttps://bsky.app/profile/digitalwildcatters.bsky.socialhttps://www.linkedin.com/company/collide-digital-wildcatters

AI is no longer just a buzzword in oil and gas, it’s reshaping how the entire industry works. Steven Barrow grew up as a fourth-generation oilfield guy, but instead of sticking with tradition, he’s pushing things forward with Patronus Energy. We got into everything from using computer vision to spot safety issues, to drones inspecting sites, to automating the headache of P&IDs. Steven’s story ties it all together: a blend of family legacy, startup grit, and some seriously cool applications of AI that are cutting through inefficiencies and making oilfield operations smarter. It’s equal parts tech talk and real-world problem solving, with a few glimpses into where energy might be headed next.00:00 - Intros01:58 - Patronus Energy Overview04:02 - Founding Patronus Energy11:04 - Field Experience Insights14:07 - Effective Learning Methods15:46 - Software Development Background18:14 - Coding Journey19:06 - Smart Pigging Technology20:00 - Software Development for E&Ps22:53 - MLOps in Energy Sector25:57 - Product Development Inflection Point27:54 - Project Preferences30:36 - Computer Vision Innovations36:00 - Impact of Ukraine War on Process Safety39:30 - AI Applications in Process Safety41:40 - Drone Survey Usage44:53 - Drone Lighting Solutions46:43 - Technology Stack Overview49:50 - Underrated Tools and Frameworks51:44 - Future of Work in Energy55:12 - Prototyping Techniques56:06 - Scripting to Production1:00:34 - Dining Recommendations in Bentonvillehttps://twitter.com/collide_iohttps://www.tiktok.com/@collide.iohttps://www.facebook.com/collide.iohttps://www.instagram.com/collide.iohttps://www.youtube.com/@collide_iohttps://bsky.app/profile/digitalwildcatters.bsky.socialhttps://www.linkedin.com/company/collide-digital-wildcatters

AI isn’t just creeping into oil and gas, it’s blowing the doors open. Scott Casso from Casso Land & Imaging Services walked us through how his team is dragging decades of dusty, “dark” data into the digital age. Think land title work, document digitization, and the kind of workflow cleanup that makes mergers and acquisitions a whole lot smoother. Instead of drowning in paper, companies can now actually use their data, cut inefficiencies, and make faster, smarter decisions. It’s a mix of old-school industry grit and next-gen AI muscle and it shows how tech can unlock value hiding in plain sight.Click here to watch a video of this episode.00:00 - Introductions01:18 - Casso Land and Imaging Services05:45 - Importance of Digitizing Data09:19 - QR Codes in Data Management12:27 - Meaning of Digitizing15:12 - Digitization in Mergers & Acquisitions17:49 - Pre-Sale Data Digitization21:56 - Key Documents for Data Extraction27:50 - Value of Searchable Data Today30:30 - Relationships in Data Analysis35:09 - Data Engineering and LLMs38:04 - External Support in Oil & Gas43:38 - Scott's Journey into the Industry50:25 - Speed Round Questions53:02 - Influential Books57:30 - Favorite Outdoor Activities in Oklahoma01:01:03 - Where to Find Scott01:01:53 - Wrapping Uphttps://twitter.com/collide_iohttps://www.tiktok.com/@collide.iohttps://www.facebook.com/collide.iohttps://www.instagram.com/collide.iohttps://www.youtube.com/@collide_iohttps://bsky.app/profile/digitalwildcatters.bsky.socialhttps://www.linkedin.com/company/collide-digital-wildcatters

Mathias has a knack for shaking up an industry that doesn’t exactly love change, and he’s doing it from the inside. As CEO of Whitson, he’s bringing petroleum engineering software into the cloud era, building tools that work in real time instead of waiting on clunky desktop updates. We talked about what it takes to get a traditional industry to embrace modern platforms, why seamless data integration is the real game-changer, and how Whitson Plus is helping make it happen. Somewhere along the way, we compared life in Norway to Houston, swapped taco recommendations, and even found a few similarities between fjords and tech. It’s a mix of innovation, culture, and just enough humor to remind you that oil and gas tech can actually be fun.Click here to watch a video of this episode.00:00 - Intro01:05 - Norway Geography Overview04:26 - Understanding WITSML Standards05:55 - Introduction to WITS Protocol12:45 - Data Sovereignty Explained17:15 - SOC 2 Compliance for Software17:37 - International Market Entry Advice19:58 - Software Portability Across Clouds22:06 - Strategies for Reducing Cloud Costs23:20 - COVID-19 Impact on Cloud Adoption24:10 - Cloud Provider Flexibility25:15 - Whitson Product Overview27:28 - Whitson PBT Features29:10 - Whitson Spacing Solutions34:51 - Well-by-Well Analysis39:21 - Watson Plus Overview43:37 - Data Integration Strategies47:10 - Future of WITSML and RESQML52:40 - Importance of Software Integrations54:09 - Leveraging APIs for Growth55:30 - Snowflake Data Solutions59:23 - Speed Round Q&A1:06:00 - Contacting Whitson1:07:45 - Closing Remarks1:09:33 - Unique Aspects of Collide Energy1:13:14 - Outrohttps://twitter.com/collide_iohttps://www.tiktok.com/@collide.iohttps://www.facebook.com/collide.iohttps://www.instagram.com/collide.iohttps://www.youtube.com/@collide_iohttps://bsky.app/profile/digitalwildcatters.bsky.socialhttps://www.linkedin.com/company/collide-digital-wildcatters

AI and GIS might not sound like the flashiest combo, until you hear what Bunting Labs is cooking up. Michael Egan breaks it down with John and Bobby: how they’re turning old-school geologic maps into clean, digital datasets, baking large language models into QGIS, and giving non-technical folks the power to ask spatial questions like pros. From landmen to transportation planners, this episode explores how tools like Mundi are cutting down analysis time and opening up the GIS world to way more people. It’s all about smarter maps, faster workflows, and making geospatial data way less intimidating.Click here to watch a video of this episode.00:00 - Intro01:25 - Michael Egan, Bunting Labs Co-Founder03:51 - Billion Dollar Idea in Tech05:52 - Fencing Solutions in GIS07:41 - Overview of Bunting Labs09:44 - Understanding GIS Technology12:41 - Mundi and Spatial Data Interaction15:42 - Comparing Mundi and Bunting Labs19:20 - Target Audience for Mundi21:34 - Energy Use Cases in GIS23:16 - Plat Digitizer Overview24:51 - Primary Use Cases of Mundi27:58 - Embedding Mundi in Applications30:33 - Base Map Compatibility in GIS33:00 - Maximizing QGIS Utilization34:08 - Computer Vision and LLM Integration37:30 - Future of WebGIS Technology39:48 - Advancements in Computer Vision43:20 - Self-Hosting Solutions Explained46:20 - Dataset Iteration Techniques48:27 - Cursor in Oil and Gas Industry53:36 - Cursor Applications in GIS Industry01:00:03 - Exploring the Tech Stack01:02:42 - Choosing a Cloud Provider01:03:41 - Non-OpenAI Model Preferences01:04:16 - Favorite Vacation Destinations01:04:45 - YC Company Highlights01:06:44 - Where to Find Michael Egan01:07:50 - Outrohttps://twitter.com/collide_iohttps://www.tiktok.com/@collide.iohttps://www.facebook.com/collide.iohttps://www.instagram.com/collide.iohttps://www.youtube.com/@collide_iohttps://bsky.app/profile/digitalwildcatters.bsky.socialhttps://www.linkedin.com/company/collide-digital-wildcatters

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.00:00 - Intro01:40 - Flipping the Table07:00 - Journey to AI Adoption13:34 - Understanding AI, ML, and LLM15:37 - AI vs Machine Learning vs LLMs Explained17:23 - The Power of LLMs20:55 - Starting Platforms for AI22:24 - Free vs Paid AI Models28:15 - Starting Points in Petroleum Engineering30:06 - Essential Learning Before AI31:42 - Building a Data Foundation34:40 - LinkedIn's Data Insights37:25 - AI-Generated Video Content41:10 - Authenticity in AI Creations44:35 - AI in Due Diligence Processes49:00 - Training Duration for AI Models51:15 - Optimal Efficiency in AI54:51 - Successful AI Use Cases in Production58:50 - Tech Stack Essentials1:03:04 - Data Accessibility Challenges1:08:24 - Barriers to AI Adoption in Oil & Gas1:12:15 - LLMs vs Other Tech Hypes1:17:46 - Outrohttps://www.instagram.com/digitalwildcattershttps://www.tiktok.com/@digitalwildcattershttps://www.facebook.com/digitalwildcattershttps://www.linkedin.com/company/digitalwildcattershttps://twitter.com/DWildcattershttps://www.youtube.com/@digitalwildcatters

Tired of clunky geoscience software that feels like it was built in the '90s? Same. That’s why we brought on Cameron Snow from Danomics to talk about how his team is shaking things up. He’s built a platform that actually makes life easier for geologists and engineers, no more wrestling with legacy tools just to run a few thousand wells. We got into how Danomics uses AI (without going full robot overlord), how the cloud isn’t just buzzword fluff, and why data management doesn’t have to suck. If you’ve ever cursed at reservoir modeling software, you’ll want to hear this one.00:00 - Intro01:00 - EOG Acquires INNO03:39 - Understanding Danomics07:18 - Importance of Cloud for Danomics10:38 - Cloud First Strategy14:17 - Data Residency Explained15:42 - Founding Danomics17:34 - Coding Journey22:54 - Programming Languages Overview25:14 - Managing Complex Equations29:05 - Handling Customer Requests32:54 - Significance of UI/UX Design36:40 - Meeting User Expectations38:54 - Software Integration with Applications43:25 - Data Management and Organization50:07 - Coding for Geoscientists and Engineers59:48 - AI's Impact on Oil and Gas Industry01:00:02 - AI's Limitations in Oil and Gas01:05:25 - Speed Round01:09:10 - Contacting Cam01:10:00 - Outrohttps://www.instagram.com/digitalwildcattershttps://www.tiktok.com/@digitalwildcattershttps://www.facebook.com/digitalwildcattershttps://www.linkedin.com/company/digitalwildcattershttps://twitter.com/DWildcattershttps://www.youtube.com/@digitalwildcatters

If you've ever wrestled with messy datasets, legacy code, or trying to get executives to actually *use* data, you’ll get a kick out of this one. We sat down with Jeff Krimmel from Krimmel Strategy Group to talk shop about how he’s helping energy companies turn their mountain of data into real-world strategy. We hit everything from making peace with Fortran (yep, still kicking) to getting smart about tools like Snowflake and Databricks, and even why asking better questions matters more than the data itself. Jeff’s got a sharp eye for cutting through the noise—and a knack for blending cold, hard numbers with human behavior. Whether you geek out on AI trends or just want your data dashboards to make more sense, this convo's got something for you.00:00 - Intro04:05 - Snowflake Summit Insights06:22 - Data Utilization by Jeff11:28 - Over-engineering in Decision Making14:08 - Effective Forecasting Techniques15:21 - Understanding Variable Importance16:18 - Confidence in Decision-Making Processes19:20 - Engineering vs Energy Industry Decisions21:20 - The Role of Assumptions in Analysis22:50 - Proof of Work Explained23:30 - Managing Risk and Uncertainty in Energy27:17 - Overview of Crudele Strategy Group27:31 - Typical Project Workflow27:37 - Tools Used by Matt31:17 - Foundations of Energy Sector32:56 - Value of Third-Party Perspectives34:40 - Data Abundance in Energy Sector35:55 - Jeff's Data Acquisition Methods38:30 - Understanding OData41:40 - Challenges with APIs43:20 - Google Sheets Scripting Techniques46:40 - Integrating DuckDB with Google Sheets48:37 - Chart Visualization Insights50:49 - Cost of DIY Solutions52:47 - Trusting AI in Decision Making58:18 - Speed Round Discussion58:20 - Jacob’s Startup in Energy58:29 - Would You Rather: C++ vs Fortran59:10 - Favorite Houston Restaurant Recommendations1:00:08 - Favorite Scripting Language Choices1:04:36 - Cancun Travel Insights1:07:21 - How to Connect with Jeff1:08:03 - Collide Platform Overview1:09:39 - Building a Community: The Grind1:10:27 - Growth Strategies for Collide1:11:09 - The Endless Journey in Software Development1:11:35 - Conclusion on Software Development Challenges1:11:50 - The Ongoing Nature of Developmenthttps://www.instagram.com/digitalwildcattershttps://www.tiktok.com/@digitalwildcattershttps://www.facebook.com/digitalwildcattershttps://www.linkedin.com/company/digitalwildcattershttps://twitter.com/DWildcattershttps://www.youtube.com/@digitalwildcatters

SmartChain is on a mission to kill off the chaos of clunky contracts in oil and gas—and they might actually be pulling it off. We caught up with their co-founder Cameron Sinclair, who’s turning heads with a platform that automates the mess out of invoicing, closes those dreaded “leakage” gaps, and makes cash flow way less of a guessing game. From aligning incentives between operators and vendors to building smarter, data-driven performance contracts, Cameron breaks down how SmartChain is flipping the script on old-school processes and dragging them into the digital age. If you've ever dealt with contract nightmares (or just want your ops to run smoother), this one’s worth a listen.00:00 - Guest Intro01:15 - Cam’s Background07:28 - Starting SmartChain10:36 - Origin of SmartChain13:18 - Overview of SmartChain17:47 - Challenges in Digitizing Field Tickets23:00 - Impact on Cash Flow24:40 - Understanding DSO and Its Importance26:42 - Average DSO & DIR Analysis28:44 - Case Study 1: Offshore Drilling Insights30:49 - Case Study 2: Performance Contract Overview32:40 - Strategies for Creating Better Contracts39:37 - Addressing Pushback and Objections41:15 - Mutual Benefits for Operators and Service Companies46:15 - Charging Models Explained48:42 - Successful Oil and Gas Startups50:35 - Role of Blockchain in Energy57:17 - Closing Thoughts57:58 - Favorite Rugby Team58:10 - Book Recommendations58:54 - Favorite Speculative Crypto01:00:34 - Favorite Vacation Spot01:01:31 - Connecting with Cameronhttps://www.instagram.com/digitalwildcattershttps://www.tiktok.com/@digitalwildcattershttps://www.facebook.com/digitalwildcattershttps://www.linkedin.com/company/digitalwildcattershttps://twitter.com/DWildcattershttps://www.youtube.com/@digitalwildcatters

We're lifting the curtain on the mysterious world of energy data transparency with the guy who's shaking things up at AFE Leaks. He's on a mission to break open the hidden details around oil and gas costs and operations, think: cracking open dusty old filings and turning them into something everyone can actually use. He chats about the wild ride of starting a data-driven company in an industry ruled by giants, spills some truth about the headaches of digitizing mountains of paperwork, and gives us a peek at how AI is quietly changing the game. Plus, hear what’s really happening behind the scenes in the ultra-competitive lower 48 data market and how clear, accessible data might just be the industry's next big revolution.00:00 - Intro01:29 - Enverus Acquisition $6B05:49 - Competing with IHS & Drillinginfo07:05 - Selling Strategies in Energy Sector11:02 - Role of Geologists in Industry13:07 - Understanding Reserves in Energy15:22 - AFs and AFEs Explained23:00 - Data Extraction from PDFs24:34 - Optimizing Lease Operating Expenses (LOE)28:13 - Business Education for Engineers31:40 - Learning to Code for Professionals34:21 - Choosing the Right Model in Energy35:48 - Building Your Tech Stack39:57 - Data Insights and Interesting Findings43:28 - Sourcing Reliable Data45:54 - AFE Leaks’s Unique Business Model47:15 - Accessing AFE Leaks’s Data Resources48:20 - Identifying Target Customers51:30 - Entrepreneurship Journey Insights54:01 - Recommended Books for Entrepreneurs55:01 - Favorite R Packages for Data Analysis56:43 - Top Vacation Destinations57:59 - Best Restaurants Recommendations1:00:06 - Community Engagement1:02:22 - Connecting with Brandon Davishttps://www.instagram.com/digitalwildcattershttps://www.tiktok.com/@digitalwildcattershttps://www.facebook.com/digitalwildcattershttps://www.linkedin.com/company/digitalwildcattershttps://twitter.com/DWildcattershttps://www.youtube.com/@digitalwildcatters

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.00:00 - Intro00:37 - What Does Capsher Technology Do02:39 - Evolution of Software Development05:09 - Strengths of AI Technology06:26 - Overview of Collide Software09:04 - Understanding RAG Models10:09 - Implementing AI Solutions13:43 - Energy-Specific Software Development18:14 - High-Resolution Data Acquisition Techniques22:15 - Benefits of Containerization25:22 - Data Transfer to the Cloud29:20 - Frontend Technologies in Use30:33 - Introduction to GraphQL31:54 - Common Software Projects33:20 - Mobile Development Trends37:12 - AI-Assisted Software Development43:35 - AI Expectations vs. Reality47:34 - Journey into Technology50:45 - Speed Round55:56 - Where to Find Joshua Johnstonhttps://www.instagram.com/digitalwildcattershttps://www.tiktok.com/@digitalwildcattershttps://www.facebook.com/digitalwildcattershttps://www.linkedin.com/company/digitalwildcattershttps://twitter.com/DWildcattershttps://www.youtube.com/@digitalwildcatters

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.00:00 - Intro00:50 - Best Places to Build Software Companies03:20 - Evaluating Canadian Tech Talent06:15 - Vicki's Journey to Krux14:14 - IIoT vs SCADA Explained15:27 - Overview of Krux's Services17:50 - The Journey of Krux19:34 - Pipet Technology Insights20:35 - Data Access Solutions23:35 - Historic vs Modern Architecture26:50 - OUTRO27:01 - Krux vs Competitors Analysis28:30 - Understanding the Technology Stack29:30 - Onboarding New Clients Effectively34:00 - Krux and Microsoft Fabric Integration36:10 - Optimizing Maintenance with Krux37:23 - Krux's Connection to SCADA Systems39:14 - Impact of AI and LLMs on Business43:37 - Focus and Task Management Challenges44:29 - ESG Benefits in Energy Sector47:54 - Optimizing Energy Infrastructure Strategies49:25 - Understanding the Energy Sector50:55 - Silicon Valley's View on Energy Industry54:28 - Recommended Books for Entrepreneurs55:09 - Exploring Canadian Snacks56:24 - Dining Recommendations in Calgary57:20 - Favorite Vacation Destinations58:01 - Understanding Canadian Slang58:34 - Connecting with Vicki Knotthttps://www.instagram.com/digitalwildcattershttps://www.tiktok.com/@digitalwildcattershttps://www.facebook.com/digitalwildcattershttps://www.linkedin.com/company/digitalwildcattershttps://twitter.com/DWildcattershttps://www.youtube.com/@digitalwildcatters

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.00:00 - Intro01:24 - Mistral's New API05:02 - Multimodal Models in Data Pipelines07:03 - Generative vs Deterministic Models10:56 - Generative AI Program11:52 - Generative AI in Oil & Gas Industry18:05 - RAG Memory Capabilities19:50 - Training Your Data Team23:34 - Visa's Data Architecture Insights33:10 - Why Choose Databricks35:00 - Text to SQL Transformation35:52 - Generative AI Applications37:55 - AutoML Overview43:19 - Technical Skills Erosion in Data45:30 - N-Gen Projects and Innovations48:40 - Vibration Data as Physical Measurement51:33 - Insights from Vibration Data55:26 - Personal Journey in Data59:23 - Empowering Subject Matter Experts1:00:09 - Formal Education vs Self-Taught Paths1:05:35 - Speed Round1:10:15 - End1:10:48 - Favorite Vacation Destination1:11:38 - Contact Ryan and Social Linkshttps://www.instagram.com/digitalwildcattershttps://www.tiktok.com/@digitalwildcattershttps://www.facebook.com/digitalwildcattershttps://www.linkedin.com/company/digitalwildcattershttps://twitter.com/DWildcattershttps://www.youtube.com/@digitalwildcatters

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.00:00 - Intro00:48 - Catching Up02:04 - Guest Introduction05:48 - Importance of Communication in Data Platforms08:52 - Foundation for AI/ML Models09:58 - Wise Rock’s Value Proposition12:45 - Early Days of Wise Rock21:22 - Data Visualization Techniques26:25 - Technology Stack Overview30:14 - Why Choose Dagsure33:53 - Market Penetration Strategies39:43 - Exploring TimescaleDB40:50 - Tech Deep Dive42:40 - Wise Rock's Industry Impact45:54 - Importance of Quality Data49:25 - Future Plans for Wise Rock52:50 - IronPython Reference Discussion55:44 - Speed Round Q&A59:58 - Where to Find Brock Meyer1:00:04 - Contacting Brock Meyer1:01:08 - Final Thoughts on the Episode1:01:33 - Outrohttps://www.instagram.com/digitalwildcattershttps://www.tiktok.com/@digitalwildcattershttps://www.facebook.com/digitalwildcattershttps://www.linkedin.com/company/digitalwildcattershttps://twitter.com/DWildcattershttps://www.youtube.com/@digitalwildcatters

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?00:00 - Intro00:55 - What is QMS2GO? | Quality Management System03:25 - Auditing Process | Compliance & Standards11:07 - Journey to Louisiana Tech | Educational Background12:01 - Moving to the US from Kazakhstan | Immigration Experience14:15 - Starting Your Own Company | Entrepreneurship Journey18:55 - LA New Product Development | Innovation Strategies21:20 - Transition from Industrial to Consumer Products | Market Shift24:24 - Early Products | Product Development History25:04 - Shark Tank | Pitching to Investors27:19 - QMS2GO Overview | Business Model29:10 - Building for Different Industries | Market Adaptation31:16 - Return to Auditing | Career Path33:35 - Bootstrapping | Funding Strategies34:34 - Responsibility of Taking Other People's Money | Financial Ethics38:44 - Strategic Investor Relationships | Funding Advice41:40 - Investor Skepticism | Business Viability45:08 - QMS2GO’s Users | Customer Base51:13 - How QMS2GO is Being Used | Practical Applications52:56 - Importance of User Feedback | Continuous Improvement55:33 - Raising Funds | Fundraising Strategies56:50 - Pricing Model | Business Strategy01:01:23 - AI in Cold Outreach | Technology in Marketing01:03:34 - Speed Round | Quick Questions01:03:54 - Things to Do in Ruston | Local Attractions01:04:33 - Best Restaurant in Houston | Dining Recommendations01:06:23 - Running a Company in Ruston | Business Environment01:08:04 - Best Place to Eat in Shreveport | Food Recommendations01:09:02 - How to Reach Andiega | Contact Informationhttps://www.instagram.com/digitalwildcattershttps://www.tiktok.com/@digitalwildcattershttps://www.facebook.com/digitalwildcattershttps://twitter.com/DWildcatters

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.00:00 - Intro02:06 - DuckDB for Google Sheets05:24 - Jacob’s Journey to DuckDB11:05 - OLTP vs OLAP13:08 - DuctDB16:59 - MDSinaBox19:08 - NBA Jam20:05 - MDS in a Box22:19 - Running on the Edge23:56 - Chick-fil-A26:20 - DuckDB31:10 - Querying Data Where It Lives35:30 - ODBC vs Arrow DataFusion42:13 - Mothertuck42:55 - Motherduck46:25 - What is Mother Duck51:10 - Connecting BI Tools to Mother Duck52:55 - PG DuckDB54:33 - Using DuctDB with Postgres56:21 - DuctDB as Cache for Snowflake58:25 - ROI of Data Teams1:01:30 - Future of ELT1:05:20 - Embeddings in Data1:06:20 - Language Models in Analytics1:07:40 - Prompt SQL Techniques1:15:10 - DuckDB Pushing SQL Forward1:18:22 - Speed Round1:19:34 - Favorite Non-DuckDB Database1:20:28 - Favorite Video or Board Game1:21:07 - Best Places to Eat in Seattle1:21:37 - Tyson vs Jake Paul 2https://www.instagram.com/digitalwildcattershttps://www.tiktok.com/@digitalwildcattershttps://www.facebook.com/digitalwildcattershttps://twitter.com/DWildcatters

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.00:00 - Intro03:36 - MIT Robot Learning Breakthrough06:24 - DataSqured’s Secret Sauce11:09 - Introduction to ContextSmith14:15 - Jon’s Background and Founding of ContextSmith21:59 - ExtraaD and Graph Usage23:40 - Understanding Graph Databases29:44 - Model Training Techniques32:28 - Introduction to RAG40:45 - Tech Community Challenges42:49 - Transition from POC to Production44:49 - AI Limitations: "I Don't Know"46:05 - Canvass AI Functionality54:35 - Data Integration into Models56:13 - A2D and Data Hosting Environments1:00:26 - Speed Round1:04:08 - Vector Databases Insights1:05:27 - Houston Restaurants Discussionhttps://www.instagram.com/digitalwildcattershttps://www.tiktok.com/@digitalwildcattershttps://www.facebook.com/digitalwildcattershttps://twitter.com/DWildcatters

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.00:00 - Intro01:14 - Detection and EZ Ops02:56 - How EZ Ops Started05:29 - Challenges of Field Data Capture08:26 - Achieving Consistent Field Data Capture13:18 - One Platform to Rule Them All18:01 - Reporting and Analytics20:10 - Advice for Entrepreneurs24:45 - Mobile First vs Web App First25:55 - What is a Progressive Web App28:35 - Original Tech Stack30:25 - Role of a Data Scientist34:35 - Snowflake and Sigma40:18 - AIML Applications for EZ Ops43:33 - Early Wins from Operator Optimization46:20 - EZ Ops Historical and Future Target Users53:00 - Gamification Strategies58:11 - Closing Remarks1:00:42 - Speed Round1:05:23 - Book and Podcast Recommendations1:09:04 - Where to Eat in Toronto1:10:55 - Finding Ruchi and Brandonhttps://www.instagram.com/digitalwildcattershttps://www.tiktok.com/@digitalwildcattershttps://www.facebook.com/digitalwildcattershttps://twitter.com/DWildcatters

Atheer Al-Attar and Jose Leviaguirre, AI experts from Spotfire, join hosts Bobby and John on this episode of Energy Bytes to reveal how Spotfire is transforming data analysis in the oil and gas sector. They delve into Spotfire's AI-powered co-pilot that enhances decision-making through advanced data visualization and real-time insights, helping companies overcome the limitations of traditional tools in fast-paced industrial markets. Atheer, a principal data scientist, and Jose, a telecom engineer, bring their expertise to discuss the future of AI in digital transformation and how Spotfire’s innovative solutions lead the way in energy tech.00:00 - Intro01:22 - Spotfire Overview04:56 - Future of Work Adaptation08:00 - AI as a Co-Pilot10:40 - Understanding Spotfire17:35 - Spotfire's Innovative Edge19:05 - Spotfire Extensibility and Data Exploration21:07 - TIBCO Spotfire Mods Explained25:20 - TIBCO Spotfire Energy Forum Insights29:50 - Core Business Model of TIBCO Spotfire33:04 - Spotfire Cloud vs On-Premises Comparison35:01 - Spotfire Data Science and ML Library37:20 - Action Mods in TIBCO Spotfire40:40 - Writing Back to Databases44:00 - Automation Services Overview46:57 - Co-Pilot Functionality52:22 - Data Tables and Charts in Spotfire54:34 - LLM for HSE Document Management58:13 - Favorite Project Highlights58:56 - Dynamic Time Warping Explained01:05:40 - Creating Map Charts01:09:15 - Favorite Book or Podcast Recommendations01:11:43 - Favorite Open Source Libraries01:13:18 - Favorite Video or Board Game01:14:30 - Favorite Houston Restaurant Picks01:16:04 - How to Connect Onlinehttps://www.instagram.com/digitalwildcattershttps://www.tiktok.com/@digitalwildcattershttps://www.facebook.com/digitalwildcattershttps://twitter.com/DWildcatters