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.”

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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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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.”

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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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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.”

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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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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.”

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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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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.

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
01:22 - Spotfire Overview
04:56 - Future of Work Adaptation
08:00 - AI as a Co-Pilot
10:40 - Understanding Spotfire
17:35 - Spotfire's Innovative Edge
19:05 - Spotfire Extensibility and Data Exploration
21:07 - TIBCO Spotfire Mods Explained
25:20 - TIBCO Spotfire Energy Forum Insights
29:50 - Core Business Model of TIBCO Spotfire
33:04 - Spotfire Cloud vs On-Premises Comparison
35:01 - Spotfire Data Science and ML Library
37:20 - Action Mods in TIBCO Spotfire
40:40 - Writing Back to Databases
44:00 - Automation Services Overview
46:57 - Co-Pilot Functionality
52:22 - Data Tables and Charts in Spotfire
54:34 - LLM for HSE Document Management
58:13 - Favorite Project Highlights
58:56 - Dynamic Time Warping Explained
01:05:40 - Creating Map Charts
01:09:15 - Favorite Book or Podcast Recommendations
01:11:43 - Favorite Open Source Libraries
01:13:18 - Favorite Video or Board Game
01:14:30 - Favorite Houston Restaurant Picks
01:16:04 - How to Connect Online

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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/hatemnasrphd
https://www.softserveinc.com/en-us/industries/the-energy-sector/energy-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
00:40 - SoftServe
04:00 - Generative AI
07:00 - JAIG Impact on Oil and Gas IQ
12:02 - OpenAI in Energy
17:45 - Industry Knowledge Loss
21:58 - Significance of Generative AI
23:55 - AI's Role in Oil and Gas
25:29 - AI Use-Cases: Subsurface Data Processing
26:10 - AI Use-Cases: ESP Optimization
27:38 - AI Use-Cases: Methane Detection
29:13 - AI Use-Cases: Regulatory Compliance
30:31 - AI Use-Cases: Preliminary Diagnostics
35:14 - Multimodal AI Applications
38:16 - Industry Challenges: Peak Production
40:35 - Industry Challenges: Low Discovery Rates
51:00 - IoT Innovations in Oilfield
52:54 - Future of Wireless Sensors
54:00 - Laura
57:18 - Edge Computing in Energy
59:34 - Video Analysis Applications
1:06:25 - Technology for Injury Prevention
1:07:20 - Understanding AI's Limitations
1:11:50 - Knowledge Transfer Urgency in Oil and Gas

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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.

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.”

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00:00 - Intro
01:49 - Career Journey in Energy
06:49 - Overview of Collide
11:26 - Understanding Reservoir Data Systems
15:46 - Introduction to Hivecell
18:03 - Meeting Colin and Alex
22:19 - Importance of Field Experience
27:32 - Field vs. Office Disconnect
34:15 - Influential Role Models
39:11 - Impact of Role Models
40:54 - Significance of Field Experience
43:26 - Future Plans and Aspirations
43:39 - Updates from Digital Wildcatters
50:18 - Career Advice for Newcomers
53:20 - Entering the Energy Industry
55:54 - Energy Industry as an Adventure
57:58 - Outro

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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.

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.”

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00:00 - Intro
00:30 - Yazan and Eugene’s Backgrounds
04:00 - What is IONIAN Labs
07:15 - How IONIAN Labs Came About
11:00 - IONIAN Labs Tech Stack Overview
14:55 - Challenges with Land Descriptions
19:18 - IONIAN Labs Tech Stack Overview
27:46 - Lessons Learned and What to Change
28:04 - Collide's Current Journey
28:51 - Customer Feedback Insights
32:10 - Data Sources for IONIAN Labs
34:48 - Architectural Framework
38:40 - Startup Masochism Explained
39:44 - Fine Tuning Machine Learning Models
45:54 - Identifying Your Customers
47:28 - Future Plans for IONIAN Labs
52:24 - Speed Round Discussion
55:36 - Where to Find Ionian Labs

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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.

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.”

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00:00 - Intro
00:27 - Hydrogen Energy
06:49 - RBAC Overview and Services
16:44 - Enverus Startup Journey
18:20 - Original SAS Model Explained
22:40 - Dr. Rao's Entrepreneurial Journey
24:55 - Natural Gas Market Evolution
27:09 - Data in the 90s: A Retrospective
32:37 - Incorporating Data into Models
35:44 - The Danger of Good Design
38:04 - Beautiful vs. Ugly Equations
41:03 - User-Friendly Systems and Algorithms
44:30 - Energy Systems: Poor vs. Rich Countries
46:13 - Energy Policy Class Insights
51:51 - Understanding Negative Gas Prices
58:23 - Flat Natural Gas Prices Explained
1:02:40 - Early Natural Gas: The Nuisance Gas
1:05:12 - Forecasting Techniques in Energy
1:06:48 - Platform Users and Applications
1:12:18 - Likelihoods and Risk Analysis
1:16:34 - Learning in Resource Economics
1:19:20 - Finding David: A Guide

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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.

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.”

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00:00 - Intro
01:34 - Distributed Compute Necessity
07:05 - Enverus Role Overview
10:51 - Transitioning from Spreadsheets
17:12 - Data Quality Testing Techniques
19:00 - Understanding DBT (Data Build Tool)
21:15 - DBT Orchestration Explained
24:35 - DBT Documentation Importance
28:03 - Tech Stack Insights
30:17 - Type 2 Slowly Changing Dimensions
33:01 - FiveTran vs. Homegrown Pipelines
36:00 - Rudderstack Overview
38:20 - Snowflake's Semantic Layer
40:40 - Hex Analytics Tool
45:00 - Experience at Parsley
47:43 - Journey from Planning to Engineering
49:28 - Importance of Domain Experience
54:55 - Changing Your Data Stack
1:01:14 - ODBC Usage Today
1:06:00 - Microsoft Power BI Overview
1:07:40 - Lakehouses Explained
1:11:50 - Speed Round
1:14:20 - Exciting Open Source Packages
1:19:41 - Favorite Roadside Stops
1:21:52 - Podcast Wrap-Up
1:22:34 - Where to Find Matt

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