All Episodes

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

Hatem Nasr, Global Director of Digital Energy O&G at SoftServe, joins John on the Energy Bytes Podcast to discuss the transformative impact of AI and data science on the oil and gas sector. With over 15 years dedicated to the digital oilfield, Hatem shares his vision for integrating smart systems and generative AI to tackle the industry's knowledge drain and boost production efficiency. He highlights the pressing issue of declining petroleum engineering graduates and advocates for investing in technology today to secure the industry's future. Through a compelling conversation, Hatem explores how Gen AI can raise the sector’s operational IQ, emphasizing its critical role in sustaining and optimizing oil and gas production.https://www.linkedin.com/in/hatemnasrphdhttps://www.softserveinc.com/en-us/industries/the-energy-sector/energy-oil-and-gas00:00 - Intro00:40 - SoftServe04:00 - Generative AI07:00 - JAIG Impact on Oil and Gas IQ12:02 - OpenAI in Energy17:45 - Industry Knowledge Loss21:58 - Significance of Generative AI23:55 - AI's Role in Oil and Gas25:29 - AI Use-Cases: Subsurface Data Processing26:10 - AI Use-Cases: ESP Optimization27:38 - AI Use-Cases: Methane Detection29:13 - AI Use-Cases: Regulatory Compliance30:31 - AI Use-Cases: Preliminary Diagnostics35:14 - Multimodal AI Applications38:16 - Industry Challenges: Peak Production40:35 - Industry Challenges: Low Discovery Rates51:00 - IoT Innovations in Oilfield52:54 - Future of Wireless Sensors54:00 - Laura57:18 - Edge Computing in Energy59:34 - Video Analysis Applications1:06:25 - Technology for Injury Prevention1:07:20 - Understanding AI's Limitations1:11:50 - Knowledge Transfer Urgency in Oil and Gashttps://www.instagram.com/digitalwildcattershttps://www.tiktok.com/@digitalwildcattershttps://www.facebook.com/digitalwildcattershttps://twitter.com/DWildcatters

Yogashri Pradhan, Lead Production Engineer at Chevron, explores John's journey from hands-on fieldwork in wind energy and oil to becoming a key figure at Digital Wildcatters. The conversation emphasizes the importance of field experience and adaptability in the fast-changing oil and gas industry. John discusses his transition from mechanical engineering to internships, the evolving nature of the energy sector, and the significance of humility and hard work for career success. He also offers insights into how AI and digital innovations are reshaping industry processes and shares the forward-thinking vision for Digital Wildcatters and the Collide platform.00:00 - Intro01:49 - Career Journey in Energy06:49 - Overview of Collide11:26 - Understanding Reservoir Data Systems15:46 - Introduction to Hivecell18:03 - Meeting Colin and Alex22:19 - Importance of Field Experience27:32 - Field vs. Office Disconnect34:15 - Influential Role Models39:11 - Impact of Role Models40:54 - Significance of Field Experience43:26 - Future Plans and Aspirations43:39 - Updates from Digital Wildcatters50:18 - Career Advice for Newcomers53:20 - Entering the Energy Industry55:54 - Energy Industry as an Adventure57:58 - Outrohttps://www.instagram.com/digitalwildcattershttps://www.tiktok.com/@digitalwildcattershttps://www.facebook.com/digitalwildcattershttps://twitter.com/DWildcatters

Texas A&M engineering graduates Yazan and Eugen are leveraging AI and advanced technology to modernize outdated processes, particularly in land acquisition and title work within the energy industry. Their career paths took unexpected turns, shifting from premed and engineering to founding Ionian Labs, where they tackle the industry's reliance on old software systems. Their AI-powered solutions streamline data entry and document analysis, reducing errors and saving time. They also address the broader challenges of digitizing data in the energy sector and explore the potential for multi-modal AI models to transform operations. With a startup mindset focused on rapid prototyping, Ionian Labs is driving ongoing innovation in the field.00:00 - Intro00:30 - Yazan and Eugene’s Backgrounds04:00 - What is IONIAN Labs07:15 - How IONIAN Labs Came About11:00 - IONIAN Labs Tech Stack Overview14:55 - Challenges with Land Descriptions19:18 - IONIAN Labs Tech Stack Overview27:46 - Lessons Learned and What to Change28:04 - Collide's Current Journey28:51 - Customer Feedback Insights32:10 - Data Sources for IONIAN Labs34:48 - Architectural Framework38:40 - Startup Masochism Explained39:44 - Fine Tuning Machine Learning Models45:54 - Identifying Your Customers47:28 - Future Plans for IONIAN Labs52:24 - Speed Round Discussion55:36 - Where to Find Ionian Labshttps://www.instagram.com/digitalwildcattershttps://www.tiktok.com/@digitalwildcattershttps://www.facebook.com/digitalwildcattershttps://twitter.com/DWildcatters

With over 40 years of experience in natural gas markets, Dr. Brooks offers valuable insights into the challenges and benefits of integrating hydrogen into the energy mix. He discusses how RBAC’s cutting-edge software enables companies to forecast market trends and navigate the evolving energy landscape. Key topics include hydrogen’s environmental advantages versus its production hurdles, innovations in natural gas market forecasting, and the potential for collaboration between hydrogen and natural gas in shaping the future of energy markets. Dr. Brooks also reflects on his journey from MIT to founding RBAC, revolutionizing energy market analysis along the way.00:00 - Intro00:27 - Hydrogen Energy06:49 - RBAC Overview and Services16:44 - Enverus Startup Journey18:20 - Original SAS Model Explained22:40 - Dr. Rao's Entrepreneurial Journey24:55 - Natural Gas Market Evolution27:09 - Data in the 90s: A Retrospective32:37 - Incorporating Data into Models35:44 - The Danger of Good Design38:04 - Beautiful vs. Ugly Equations41:03 - User-Friendly Systems and Algorithms44:30 - Energy Systems: Poor vs. Rich Countries46:13 - Energy Policy Class Insights51:51 - Understanding Negative Gas Prices58:23 - Flat Natural Gas Prices Explained1:02:40 - Early Natural Gas: The Nuisance Gas1:05:12 - Forecasting Techniques in Energy1:06:48 - Platform Users and Applications1:12:18 - Likelihoods and Risk Analysis1:16:34 - Learning in Resource Economics1:19:20 - Finding David: A Guidehttps://www.instagram.com/digitalwildcattershttps://www.tiktok.com/@digitalwildcattershttps://www.facebook.com/digitalwildcattershttps://twitter.com/DWildcatters

Robert shares insights into how data analysis is revolutionizing the industry, emphasizing the critical role of efficient data queries and the tools that manage large volumes of information. He discusses the transition from relying on spreadsheets to adopting more organized and structured data systems. Tools like Snowflake and DBT are driving this shift, enhancing data processes and improving data quality within the oil and gas sector.00:00 - Intro01:34 - Distributed Compute Necessity07:05 - Enverus Role Overview10:51 - Transitioning from Spreadsheets17:12 - Data Quality Testing Techniques19:00 - Understanding DBT (Data Build Tool)21:15 - DBT Orchestration Explained24:35 - DBT Documentation Importance28:03 - Tech Stack Insights30:17 - Type 2 Slowly Changing Dimensions33:01 - FiveTran vs. Homegrown Pipelines36:00 - Rudderstack Overview38:20 - Snowflake's Semantic Layer40:40 - Hex Analytics Tool45:00 - Experience at Parsley47:43 - Journey from Planning to Engineering49:28 - Importance of Domain Experience54:55 - Changing Your Data Stack1:01:14 - ODBC Usage Today1:06:00 - Microsoft Power BI Overview1:07:40 - Lakehouses Explained1:11:50 - Speed Round1:14:20 - Exciting Open Source Packages1:19:41 - Favorite Roadside Stops1:21:52 - Podcast Wrap-Up1:22:34 - Where to Find Matthttps://www.instagram.com/digitalwildcattershttps://www.tiktok.com/@digitalwildcattershttps://www.facebook.com/digitalwildcattershttps://twitter.com/DWildcatters

Energy Ogre's CTO, Britany Devlin, shares her expert advice on reducing electricity costs and navigating the complexities of the energy market. Drawing from her extensive experience in trading floors and risk management, Britany explains how fluctuations in natural gas and electricity prices affect consumers and how Energy Ogre helps clients optimize their power plan contracts. She also highlights the transformative role of AI and automation in the energy sector, enhancing customer experience and providing innovative solutions in a volatile market. Learn about the future of renewables, energy storage, and strategic ways to lower your power bills.00:00 - Intro01:17 - Toby Rice: Sub $3 Henry Hub Outlook05:22 - Electricity Costs vs. Natural Gas Prices07:35 - Introduction to Energy Ogre13:26 - How Energy Ogre Operates17:51 - Importance of Customer Service in Energy23:10 - Overview of the Texas Energy Market27:19 - Energy Generators Explained31:24 - Incentives for Homeowners in Energy Markets32:30 - Understanding the Power Grid Dynamics40:05 - Energy Ogre Insights42:40 - Managing Tech Debt and Scaling Strategies44:30 - Role of AI in Energy Sector49:20 - Customer Support in Energy Services52:11 - Griddy's Data Analysis Methods54:11 - Historical Data Utilization by Griddy57:50 - AI and Data Generation Impacts1:02:48 - Learning from Human Decision-Making1:06:28 - AI for Workplace Productivity Enhancement1:10:31 - Recommended Books and Podcasts1:11:15 - Top Social Media Influences1:11:50 - Future Plans for Energy Ogre1:13:16 - Finding Energy Ogre Onlinehttps://www.instagram.com/digitalwildcattershttps://www.tiktok.com/@digitalwildcattershttps://www.facebook.com/digitalwildcattershttps://twitter.com/DWildcatters

AI is revolutionizing traditional practices, streamlining complex processes, and enhancing operational efficiency. The discussion addresses the industry's initial skepticism toward AI and how AI Driller is overcoming these challenges through real-time data analysis and decision-making tools. Listeners will hear the unique story behind AI Driller and its role in advancing automation and data processing, alongside the broader influence of AI on modern workflows. Richard and Marat share their perspectives on how AI is transforming perceptions and driving sustainable growth in the oil and gas sector, with a glimpse into future advancements and deeper AI integration in energy markets.00:00 - Intro01:06 - Fun AI in Minecraft04:38 - AI in Business Models08:07 - Headwinds from AI Buzzwords10:35 - Overview of AI Driller13:57 - User Interaction with AI Driller19:10 - Non-AI Features of AI Driller21:40 - Modern Perspective’s Software Solutions25:28 - Tools Used by Modern Perspective27:24 - Architectural Decisions in Startups31:03 - Advice for Oil & Gas Software Startups36:31 - Startup Budget Misconceptions43:26 - Data Modeling Techniques46:12 - Real-Time Data Ingestion Strategies51:05 - Completions Market Insights54:45 - Ideal Completions State55:37 - Innovation Challenges in Oil & Gas1:02:26 - Favorite Databases1:05:58 - Collide’s Partnership with Tullow Oil Announcementhttps://www.instagram.com/digitalwildcattershttps://www.tiktok.com/@digitalwildcattershttps://www.facebook.com/digitalwildcattershttps://twitter.com/DWildcatters

William Fox, General Manager for Drilling at Corva.ai, shares his insights on the transformative role of AI in the oil and gas industry. He explains how AI is revolutionizing drilling operations by optimizing performance and driving innovation, while also addressing common uncertainties and misconceptions about AI in industrial markets. Key points include Corva’s Predictive Drilling technology, which leverages AI to enhance efficiency and safety, and the importance of balancing automation with human expertise for sustainable growth. William also highlights AI's future potential to mitigate risks and amplify human capabilities in the energy sector, advocating for collaboration over competition and emphasizing ethical AI implementation in his approach.00:00 - Intro00:40 - AI Gone Wrong: Risks and Challenges03:20 - Predictive Drilling: Definition and Benefits05:20 - Cursor: Innovative Technology in Drilling07:20 - Human-Machine Interface: Enhancing Interactions09:20 - Training the Model: Best Practices12:20 - LLMs in Drilling: Potential and Applications17:40 - Garbage In, Garbage Out: Data Integrity Issues18:50 - Data Quality: Importance in AI Systems19:50 - Trusting AI: Building Industry Confidence22:18 - Real-Time Model Maintenance: Strategies25:00 - Labeling Data: Essential for Machine Learning27:38 - Predict and Mitigate: The Ideal Future28:48 - Running in the Cloud: Advantages for Drilling30:52 - Liability: Legal Considerations in AI33:55 - Commercial Aspects: AI in the Drilling Industry38:20 - Business Case for AI: Justifying Investments41:00 - Impact on Production: Measuring Success44:10 - Tool Joint Mitigation: Techniques and Solutions53:19 - What's Next for Novi: Future Developments57:40 - Speed Round: Quick Insights1:00:10 - How to Reach Will Fox: Contact Informationhttps://www.instagram.com/digitalwildcattershttps://www.tiktok.com/@digitalwildcattershttps://www.facebook.com/digitalwildcattershttps://twitter.com/DWildcatters

Applied Science Manager at Verdad Resources, joins hosts Bobby and John to tackle the pressing issue of cybersecurity in the oil and gas industry. With his deep expertise, Kurt delves into the costly mistakes companies are making, such as ransomware attacks like those on Halliburton, which have exposed vulnerabilities across the sector. He discusses the growing cyber threats, the challenges of maintaining operational efficiency while enhancing security, and how data and AI can help build resilient defenses. Kurt also offers unique insights into unconventional strategies and the future role of technology in protecting the industry's future.00:00 - Intro00:48 - Halliburton Cyber Attack, Cybersecurity, Data Breach05:36 - Default Mode of Operation for a Complex System is Failure, Systems Theory, Risk Management08:00 - Testing Your Security, Security Assessment, Vulnerability Testing10:18 - Different industries, Industry Applications, Sector Comparison10:52 - Feedback loops, System Feedback, Continuous Improvement17:50 - Different teams, different goals, Team Dynamics, Collaboration20:02 - Useful statistics, Data Analysis, Key Metrics23:54 - Trade-offs and models, Decision Making, Modeling Techniques31:43 - How to encourage more experimentation, Innovation Strategies, Experimentation Culture34:07 - What are we looking for in an experiment, Experiment Design, Hypothesis Testing35:31 - Learning from failures, Failure Analysis, Lessons Learned41:55 - Engineers vs scientists, Roles in Science, Engineering vs Science45:20 - Applying science to data, Data Science, Scientific Methods51:10 - Communicating complex data relationships, Data Visualization, Communication Strategies53:18 - How to validate models, Model Validation, Accuracy Assessment57:30 - Charlie Munger, Investment Strategies, Decision Making58:56 - Overcomplicating things as engineers, Simplification, Engineering Challenges1:05:40 - Python scripts, Programming, Automation1:06:40 - Shazam for logs, Log Analysis, Data Recognition1:09:48 - Speed Round, Quickfire Questions, Rapid Responseshttps://www.instagram.com/digitalwildcattershttps://www.tiktok.com/@digitalwildcattershttps://www.facebook.com/digitalwildcattershttps://twitter.com/DWildcatters

David Yaffe, Co-Founder of Estuary Development, joins hosts Bobby and John in this episode of Energy Bytes to dive into the alarming rise of cloud costs affecting businesses today. With cloud expenses climbing 30% year-over-year, David shares his insights on how companies are grappling with these challenges. He unpacks the intricacies of cloud service models, pricing strategies, and the growing demand for alternative solutions. Throughout the discussion, David highlights the importance of competition and innovation in the cloud industry, as well as Estuary’s approach to tackling these issues. He also shares his personal journey from mechanical engineering to tech entrepreneurship, offering a fresh perspective on data management. As they explore the future of cloud computing, David provides valuable insights into new technologies and evolving pricing models. Don’t forget to subscribe for more expert discussions and updates!00:00 - Intro00:20 - Current Events05:26 - Introducing David Yaffe06:48 - High Velocity Data Processing10:15 - Building Data Streaming Systems12:49 - Secondary Costs of Data Ingestion17:47 - Writing to a Fact Table19:55 - Fivetran Multi-Cloud Capabilities20:44 - Multi-Cloud Strategies22:04 - Common Data Sources and Destinations23:56 - TimescaleDB Overview29:00 - API Data Sources29:43 - Data Storage Tiers Explained32:35 - Cost of Data Ingestion33:50 - Zero ETL Concept37:06 - Building vs Buying Data Solutions42:29 - Agnostic Storage Layers46:50 - Databricks Acquires Delta Lake51:45 - Transformation Layer Explained54:00 - Estuary's Functionality56:10 - Data Ownership and Normalization58:24 - Typical Estuary Customer Profile1:00:50 - Data Virtualization Insights1:04:52 - Minimizing Impact on Source Systems1:07:36 - Speed Roundhttps://www.instagram.com/digitalwildcattershttps://www.tiktok.com/@digitalwildcattershttps://www.facebook.com/digitalwildcattershttps://twitter.com/DWildcatters

Andrew Richard, President and Co-Founder of Automated Rig Technologies, and Ronald Townsend, President of Automated Completions Technologies Inc., discuss how automation is transforming the oilfield industry. They explore how new technologies are revolutionizing well servicing and completions, enhancing safety and efficiency, and reducing human error. The conversation highlights the shift from outdated practices to innovative solutions like the CD Rod Tong, which are making the industry more efficient and creating better work environments. Both Andrew and Ronald share their expertise on the role of AI and automation in shaping the future of the oil and gas sector.00:00 - Intro01:16 - Kroger Dynamic Pricing Test02:14 - Overview of Automated Rig Technologies04:34 - Workover Rigs Evolution09:51 - Securing R&D Funding from Operators20:10 - Introduction to Rival Downhole20:25 - Rival Downhole Technologies Explained21:20 - Joint Pipe Injector (JPI) Market Fit23:55 - Automation's Impact on Job Creation28:05 - Joint Pipe Injector (JPI) Background32:00 - Data Insights from JPI34:00 - CD Tong Discussion39:30 - Tech and Operator Friction42:46 - Importance of Data in Operations44:29 - Positive Feedback in Technology46:20 - Reducing Operator Input by 97%48:48 - Automation on Well Sites52:30 - SCADA and IoT Integration56:26 - Role of Software Companies59:30 - NFTs in Wellbore Management1:03:26 - Replacing Roughneck Roles1:05:28 - War Story: Bonnet Bolts Issue1:07:10 - Finding Automated Rig Technologieshttps://www.instagram.com/digitalwildcattershttps://www.tiktok.com/@digitalwildcattershttps://www.facebook.com/digitalwildcattershttps://twitter.com/DWildcatters

Cameron Amigo, Maritime Data Guru at Orbit MI, and Jordan Taylor, Technical Advisor at Shipping Intel, join hosts Bobby and John in this episode of Energy Bytes to explore the revolutionary impact of AI in the maritime industry. From open-source AI models like Llama 3.1 to the use of React methodology for creating efficient, domain-specific tasks, Cameron and Jordan dive into how AI is transforming operations. They discuss how these technologies are improving safety, boosting operational efficiency, and reducing commercial risks in an industry that has long struggled with data silos and inefficiencies. With their extensive experience in maritime operations and AI innovation, Cameron and Jordan offer unique insights into how AI is solving complex problems and shaping the future of maritime technology.00:00 - Intro00:41 - OpenAI's LLM Overview02:02 - OpenAI's API Features08:16 - Insights on Shipping Intel17:34 - REACT and RAG Explained19:56 - REACT Methodology Breakdown22:45 - Importance of Context in Data25:48 - Tagging and Annotating Data26:37 - Document Structure Essentials27:40 - Chunking Techniques29:08 - Low-Code Tools for Data Science29:53 - Future Trends in Data Science32:36 - Pathways to Enter Data Science33:44 - Data Maturity Significance37:52 - Understanding Multimodal Models38:52 - Querying Clean Datasets with OpenAI42:50 - Reducing Bias in AI Models45:23 - Trust Issues in Maritime Industry48:35 - Gaining Stakeholder Buy-In54:07 - Addressing Real World Problems58:07 - Analyzing Sensor Data1:00:24 - Future Improvements in AI Models1:04:20 - Starlink and Connectivity1:09:21 - Concerns about AI Language Development1:11:14 - Rapid Fire Questions1:15:00 - Camunda Overview1:15:30 - Recommended Bookshttps://www.instagram.com/digitalwildcattershttps://www.tiktok.com/@digitalwildcattershttps://www.facebook.com/digitalwildcattershttps://twitter.com/DWildcatters

Stephen Pace, Principal Sales Engineer at Snowflake, joins hosts John and Bobby in this episode of the Energy Bytes Podcast to explore how Snowflake's cutting-edge AI tools are transforming data management in the energy sector. With his extensive background, including a journey from Shell to Snowflake, Stephen shares insights into the evolution of Snowflake’s multicloud capabilities and AI tools like Snowpark and Snowpipe Streaming. These innovations are solving scalability and real-time processing challenges in large-scale industrial applications, offering energy companies new ways to enhance data strategies and streamline operations. Stephen also provides a look into Snowflake’s future developments and its continued integration of AI and machine learning. Based in Houston, Stephen’s expertise in data management makes him a key player in helping organizations maximize the potential of Snowflake’s platform.00:00 - Intro4:09 - What is Snowflake6:32 - Snowflake's Architecture9:52 - Snowflake’s Growth10:32 - Snowflake’s Pricing12:48 - Snowflake’s Performance Index15:36 - Snowflake’s Snowpark Optimized Servers17:26 - Snowflake’s Data Sharing18:58 - Autosuspend20:03 - Snowflake’s Managed Service21:54 - Success Stories23:58 - Will Snowflake Get into the Vector Database Space29:43 - How Snowflake is Enabling AI33:59 - Using Language Models to Extract Data36:58 - Breaking Down Data Silos39:18 - Storing Structured and Semi-Structured Data41:45 - From Easy to Use to Production Worthy47:04 - Snowpark and Pandas50:04 - Multi-Compute and Parallel Processing51:26 - Observability52:45 - Snowpipe58:10 - Favorite Use Case1:01:50 - Customer Feedback1:03:49 - Native Connectors1:06:38 - Google1:07:23 - Lightning Roundhttps://www.instagram.com/digitalwildcattershttps://www.tiktok.com/@digitalwildcattershttps://www.facebook.com/digitalwildcattershttps://twitter.com/DWildcatters

Josh Politte, President & CEO of ACT Solutions & Consulting, discusses how technology is transforming the energy sector. He shares insights on advancements in cybersecurity, AI, and data management, highlighting solutions like multi-factor authentication (MFA), passwordless approaches, and AI-driven security enhancements. Josh simplifies complex topics such as AI, machine learning, and blockchain, using real-world examples to make them more relatable. He also touches on trends like Snowflake for data management and the potential of quantum computing to revolutionize security. With his extensive experience, Josh provides a clear vision for how technology will continue to shape the future of energy and cybersecurity.00:00 - Intro00:30 - Snowflake News02:27 - How RedBit Uses Snowflake07:58 - Distributed Computing09:14 - Silicon Valley Insights11:32 - Industrial Revolutions13:39 - Intro Josh Politte14:07 - Communicating Solution Value16:40 - Selling Solutions to Management20:32 - Time is Not a Value Proposition24:22 - Company AI Utilization26:52 - Azure AI30:50 - Power Automate32:00 - Power Automate Desktop36:07 - Desktop Flows38:36 - Citizen Development Program42:21 - Understanding Data Lakes44:33 - Power Apps and SharePoint Lists47:44 - Exploring Dataverse48:33 - Dynamics 365 Overview51:45 - Hidden Gems in Power Platform53:08 - Power BI vs Spotfire57:02 - Power Fabric Capabilities57:55 - Low Code vs Full Stack Development59:45 - Power Query Pagination1:01:02 - Power Query API Calls1:04:53 - Favorite Cloud Provider1:06:00 - Favorite Non-Microsoft Tech1:09:48 - Favorite Board or Video Gamehttps://www.instagram.com/digitalwildcattershttps://www.tiktok.com/@digitalwildcattershttps://www.facebook.com/digitalwildcattershttps://twitter.com/DWildcatters

Dominik Pilat, Director of Strategic Partnerships at Link Labs, joins hosts John and Bobby in this episode of the Energy Bytes Podcast to dive into the future of asset tracking. Dominik shares how Link Labs is transforming the IoT landscape with their innovative asset tracking technology, seamlessly integrating indoor and outdoor tracking while focusing on low energy consumption, low data throughput, and cost efficiency. He discusses his journey from a background in physics to finding his passion in IoT and highlights the limitations of traditional asset tracking systems, particularly when transitioning between environments. With a unique approach that leverages edge computing, Link Labs offers scalable, smarter solutions tailored to industries like oil and gas. Dominik also provides insights into the future of IoT and asset tracking, exploring the potential advancements and their impact across various sectors.0:00 - Intro1:05 - What is Link Labs5:19 - Edge Computing in Asset Tracking11:02 - How Link Labs Does It17:44 - Removing the Human Element21:07 - Wrapping Up23:38 - Your time at Kelvin Inc24:34 - Turning Models into Actors25:10 - Optimizing PCP Pumps29:33 - Pushing AI Models to the Edge35:54 - What Can Energy Learn from Manufacturing39:40 - Why is Germany So Good at Manufacturing45:38 - Dom’s Journey to Becoming an Inventor54:26 - Always Wanting More58:46 - Who Do You Follow on Social Media1:04:38 - Favorite Board or Video Gamehttps://www.instagram.com/digitalwildcattershttps://www.tiktok.com/@digitalwildcattershttps://www.facebook.com/digitalwildcattershttps://twitter.com/DWildcatters

Brian Weaver, Head of Software Development and Data Architecture at Liberty Energy, joins hosts John and Bobby to discuss how Liberty Energy is using advanced technology and data analytics to revolutionize fracking operations. Brian explains how the company leverages streaming data, real-time analytics, IoT, and machine learning to optimize processes, particularly in remote locations like Australia and Central Europe. He also shares insights into the challenges of integrating new technologies, the importance of data-driven decisions, and the impact of Liberty’s merger with Schlumberger. Looking ahead, Brian envisions a future where big data and AI continue to drive innovation in the oil and gas industry, helping Liberty Energy stay ahead of the curve.0:00 - Intro1:36 - Liberty Frac4:56 - Expanding Internationally9:28 - Frac Data Capture & Analysis9:53 - How does Liberty capture and use data12:52 - What is InfluxDB and why is it useful for time series data23:54 - Intro24:00 - Your Journey to Data27:51 - Your 2nd Stint at Liberty28:20 - Slumber Acquisition31:55 - Snowflake Data Sharing36:43 - Replication and 5Tran38:58 - Iceberg41:04 - Snowflake43:33 - Telemetry Data Processing52:40 - How to break into data54:28 - Learning data skills1:01:10 - Lightning Round1:01:30 - Favorite Video or Board Game1:02:10 - Favorite Open Source Library1:03:20 - Interesting People to Follow1:04:50 - Favorite place to vacationhttps://www.instagram.com/digitalwildcattershttps://www.tiktok.com/@digitalwildcattershttps://www.facebook.com/digitalwildcattershttps://twitter.com/DWildcatters