Digital Innovations in Oil and Gas with Geoffrey Cann

This is a weekly podcast of how #digital innovations will impact the global #oil and #gas sector, hosted by Geoffrey Cann, international author, professional speaker, and corporate trainer.

Stick-on Digital Eyes, Ears, and Brain: No Fuss Physical AI for the Field 09/09/2026

Stick-on Digital Eyes, Ears, and Brain: No Fuss Physical AI for the Field Oil and gas companies have invested billions in SCADA, sensors and other technologies to understand what’s happening with their equipment. Yet field workers still spend huge amounts of time driving to remote assets simply to inspect them. Experienced operators can see, hear and sense things that conventional instrumentation misses. Those blind spots have consequences. Equipment problems can go unnoticed until they become failures. Workers make unnecessary truck rolls. Maintenance becomes reactive. And with experienced field workers becoming harder to find, the industry needs a better way to understand what’s happening across thousands of pieces of equipment. Physical AI offers another approach. New edge computing technologies can continuously interpret sound, vibration, vision, temperature and other signals right at the equipment. Add AI decision-making and the result is much greater visibility into equipment condition, earlier warning of problems, fewer unnecessary field visits and more targeted maintenance. In this episode, I’m in conversation with , founder and CEO of . We talk about stick-on AI sensors, edge computing, connected-worker technology, predictive maintenance and robot dogs. We also explore where this could ultimately lead: an oil field that continuously observes its own condition, decides what needs attention and eventually sends robots to take action. 👤 About Alex Hawkinson is the founder and CEO of , a Physical AI company focused on the infrastructure and essential services that modern society depends on. Alex previously founded SmartThings, the connected-home technology company acquired by Samsung. With , he is applying his experience in connected devices, AI and edge computing to energy, power, water, transportation and other physical infrastructure. BrightAI: BrightAI for Oil & Gas: Stateful OS: Connect with Alex Hawkinson: ⚒️ Additional Tools & Resources: 🎬 Go backstage and check out my studio: 👉 🎓 Take my one day digital strategy training course for oil and gas: 👉 🔗 Connect with Me: 🖥️ Blog series: 🎧 Podcast: 📇 Linkedin: 🤬 X: ⚠️ Disclaimer: The views expressed in this podcast are my own and do not constitute professional advice. #PhysicalAI #IndustrialAI #OilAndGas /episode/index/show/digitaloilgas/id/42827910

Can AI Actually Help Us Think? Using Structured AI For High-Stakes Decisions 08/26/2026

Can AI Actually Help Us Think? Using Structured AI For High-Stakes Decisions AI can help us quickly when we need to make decisions. But when executives are making high-stakes decisions about pipelines, energy infrastructure, capital investments or geopolitical risk, a quick answer isn’t necessarily a good answer. Insight into the decision is fragmented across organizations, external information is difficult to assess, and misinformation, competing interests and human bias all complicate the picture. General-purpose AI tools can sort of help solve this problem. I find that they are designed to produce a fast answer, not necessarily to work systematically through a complex problem using rigorous analytical techniques. Strategic decisions need something more thorough: clearly defined problems, credible sources, competing hypotheses, scenario analysis, bias checks, traceable reasoning and the ability to revisit an assessment as circumstances change. Structured AI offers a different approach. Instead of replacing the human analyst, it combines AI with formal intelligence methodologies and human judgement. The result is analysis that can be challenged, explained and refreshed as conditions evolve. It's so much more satisfying than an AI-generated answer. In this episode, I talk with of about Nexus, the company's structured intelligence platform. I wanted to know why traditional approaches to intelligence are faring with today's complicated information environment, how structured AI differs from tools such as ChatGPT, why deliberately searching for contradictory evidence matters, the continuing importance of the human analyst, and how this approach could change strategic decision-making across energy and other industries. 👤 About The Guest Chris Coupal is Chief Operating Officer of Foresight Reports. His background includes 16 years in the Canadian military as a signals officer, including service in Afghanistan, as well as experience in mining and oil and gas. At Foresight Reports, Chris works with a team of analysts focused on intelligence and forecasting. The company has traditionally specialized in activism intelligence and social licence to operate and is now applying structured analytical techniques and AI to a broader range of strategic problems through its Nexus platform. 💼 Chris Coupal 👉 https://www.linkedin.com/in/chris-c-828702/ 🌐 Foresight Reports 👇 https://www.linkedin.com/company/foresight-reports/ https://foresightreports.com 📧 ⚒️ Additional Tools & Resources: 🎬 Go backstage and check out my studio: 👉 🎓 Take my one day digital strategy training course for oil and gas: 👉 🔗 Connect with Me: 🖥️ Blog series: 🎧 Podcast: 📇 Linkedin: 🤬 X: ⚠️ Disclaimer: The views expressed in this podcast are my own and do not constitute professional advice. /episode/index/show/digitaloilgas/id/42542825

Defuse These Digital Oil and Gas Time Bombs: There's Still Time 08/19/2026

Can Canada Become An Energy Superpower? Yes, But It Will Take More Than Slogans 08/12/2026

Agentic AI Is All The Rage: Reducing The Cognitive Burden On The Workforce 07/29/2026

Digital Lessons From The US War on Iran: Drones, Remote Sensing, Speed and More 07/22/2026

The $50B Junk Drawer: Turning Oilpatch Surplus Into Serious Cash 05/20/2026

The $50B Junk Drawer: Turning Oilpatch Surplus Into Serious Cash Oil and gas companies are sitting on vast amounts of surplus inventory, often without realizing its true scale or value. Equipment purchased for major projects frequently ends up idle, and stored across warehouses and laydown yards, while tying up capital and incurring ongoing costs. While some of this surplus results from project changes or cancellations, much of it reflects a deeper systemic issue around how industrial assets are tracked and managed. The challenge is greater than just the existence of surplus, and is much more about the inability to act on it. Data quality deteriorates as assets move through their lifecycle, internal systems fail to communicate across business units, and there are few effective tools to support reuse or divestment. At the same time, procurement incentives often favour new purchases over internal utilization. The result is a fragmented environment where companies unknowingly duplicate spend while valuable inventory sits unused. In this episode, I am speaking with , founder of , about how AI-driven data enrichment is transforming surplus management. He explains how structuring and scaling industrial data allows companies to identify, trust, and reuse existing assets—unlocking significant cost savings and improving capital efficiency. We also explore the broader opportunity to create internal and peer-to-peer marketplaces that increase asset utilization and turn surplus into measurable financial returns. 👤 About The Guest is the Founder and President of , a company focused on transforming how industrial organizations manage and monetize surplus inventory. With a background that spans entrepreneurship and frontline oilfield experience, Taylor has built into a platform that leverages AI to structure and enrich industrial data at scale. His work centers on improving asset visibility, enabling reuse, and driving capital efficiency across the energy sector. 💼 LinkedIn 🌐 Company Website ⚒️ Additional Tools & Resources 🎬 Go backstage and check out my studio: https://geoffreycann.com/mystudio/ 🎓 Take my one day digital strategy training course for oil and gas: https://www.udemy.com/course/digital-oil-and-gas/?referralCode=0161D4D49AB75735A185 🔗 Connect with Me 🖥️ Blog series: https://digitaloilgas.substack.com/ 🎧 Podcast: https://geoffreycann.com/broadcast/ 💼 LinkedIn: https://www.linkedin.com/in/advocate-digital-innovation-for-energy/ 🤬 X (formerly Twitter): https://x.com/geoffreycann ⚠️ Disclaimer The views expressed in this podcast are my own and do not constitute professional advice. /episode/index/show/digitaloilgas/id/41168780

EHS Compliance and AI: How Better Data Turns Safety Into Advantage 05/13/2026

EHS Compliance and AI: How Better Data Turns Safety Into Advantage EHS and AI are starting to transform safety and reliability in oil and gas. But most organizations are still managing safety as a compliance exercise, not an operational advantage. That approach is under pressure. Operations are more complex, regulations keep shifting, and critical EHS data is scattered across systems, spreadsheets, and sites. When something goes wrong, the impact isn’t just regulatory — it shows up as downtime, lost production, and real harm to people and communities. There is a better way to run this. When EHS systems are connected and AI is applied to real operational data, safety becomes part of how the business performs day to day. Instead of reacting after the fact, companies can see risk building in real time, understand how conditions interact, and intervene earlier. The outcome is stronger reliability, fewer disruptions, and better decisions in the field. In this episode, I’m speaking with , EVP Strategy at . We discuss how EHS is shifting from compliance to performance, why most systems remain fragmented, and how AI is enabling real-time insight into operational risk. Amanda also shares the personal story behind her focus on safety, and a practical framework for how organizations can start using AI without taking on unnecessary risk. 👤 About The Guest has spent more than 20 years working at the intersection of technology, people, and purpose. With a background in Industrial & Operations Engineering from the University of Michigan, she has built her career around helping organizations use technology to create healthier, safer, and more sustainable operations.Over two decades, Amanda has held leadership roles across product, strategy, and customer-focused initiatives, contributing to the evolution of modern EHS and sustainability software. Her work has centered on understanding how people actually use technology, how organizations create value through better decisions, and how connected data and thoughtful design can improve outcomes for workers and communities. Today, as Executive Vice President of Strategy at , she draws on this experience to champion a strategy that stays grounded in what customers need most: solutions that are practical, scalable, and built to create lasting value. 🌐 Cority: 💼 Amanda: https://www.linkedin.com/in/amanda-smith-432037a/ ⚒️ Additional Tools & Resources 🎬 Go backstage and check out my studio: https://geoffreycann.com/mystudio/ 🎓 Take my one day digital strategy training course for oil and gas: https://www.udemy.com/course/digital-oil-and-gas/?referralCode=0161D4D49AB75735A185 🔗 Connect with Me 🖥️ Blog series: https://digitaloilgas.substack.com/ 🎧 Podcast: https://geoffreycann.com/broadcast/ 💼 LinkedIn: https://www.linkedin.com/in/advocate-digital-innovation-for-energy/ 🤬 X (formerly Twitter): https://x.com/geoffreycann ⚠️ Disclaimer The views expressed in this podcast are my own and do not constitute professional advice. /episode/index/show/digitaloilgas/id/41081810

Digital Twin Technology Meets AI: Real-Time Optimization in Oil & Gas 05/06/2026

Digital Twin Technology Meets AI: Real-Time Optimization in Oil & Gas Digital twin technology is evolving rapidly, and when combined with artificial intelligence, it is starting to reshape how oil and gas operations are run in real time. For years, companies have relied on simulation tools to design and test assets, but these tools are slow and limited to planning use. In this episode, we explore how new approaches are closing the gap between simulation and real-world operations, enabling faster and more accurate decisions. I speak with , CEO of , about how combining physics-based models with machine learning creates a new decision layer for industrial systems. This allows operators to simulate thousands of scenarios in seconds and improve production without new capital investment. We also discuss real-world applications in refineries, oilfields, and LNG facilities, where companies are seeing measurable gains in efficiency, output, and reliability. The conversation explores the shift toward autonomous operations, where AI supports or even makes decisions in complex industrial environments. Looking ahead, this technology opens the door to system-wide optimization, connecting assets across the value chain and helping companies operate closer to their true potential. #oilandgas #digitaltwin #artificialintelligence 👤 About The Guest is the CEO of , a company focused on advancing digital twin technology through the integration of physics-based simulation and artificial intelligence. Greg is a mechanical engineer by training and spent much of his early career at Ansys, where he worked on advanced simulation technologies for industrial applications. He later led the global manufacturing product portfolio at Autodesk, expanding his experience across multiple industries. At Geminus, Greg is focused on enabling real-time operational decision-making by embedding AI into simulation models, helping industrial companies improve performance, efficiency, and reliability across complex systems. 💼 Greg on LInkedIn: 🌐 Geminus: ⚒️ Additional Tools & Resources 🎬 Go backstage and check out my studio: https://geoffreycann.com/mystudio/ 🎓 Take my one day digital strategy training course for oil and gas: https://www.udemy.com/course/digital-oil-and-gas/?referralCode=0161D4D49AB75735A185 🔗 Connect with Me 🖥️ Blog series: https://digitaloilgas.substack.com/ 🎧 Podcast: https://geoffreycann.com/broadcast/ 💼 LinkedIn: https://www.linkedin.com/in/advocate-digital-innovation-for-energy/ 🤬 X (formerly Twitter): https://x.com/geoffreycann ⚠️ Disclaimer The views expressed in this podcast are my own and do not constitute professional advice. /episode/index/show/digitaloilgas/id/41013405

Fuel Supply Chain Crisis: Why Companies Can’t Act Fast Enough 04/29/2026

Fuel Supply Chain Crisis: Why Companies Can’t Act Fast Enough Global energy markets are under acute pressure as geopolitical disruption tightens supply and drives volatility. Events like the conflict in the Middle East are no longer regional—they ripple through fuel supply chains everywhere. Companies are not short of data. They are overwhelmed by it. Yet despite this abundance, assembling a clear operational picture still takes hours, leaving decision-makers reacting to a fast-moving market with a slow, fragmented view. The real constraint is not the decision itself—it is the time to assemble data and the even longer delay to execute. Information remains scattered across systems, emails, and legacy processes, often with high latency and inconsistent formats. At the same time, the industry operates as a network of hundreds of micro-markets—each terminal, tank, and junction representing a settlement point with its own dynamics. This fragmentation creates friction across the entire value chain, from inventory visibility to logistics coordination, limiting the ability to act on fleeting opportunities and, in some cases, preventing decisions from being made at all. In this episode, I speak with of DTN about how companies can compress decision cycles without increasing risk. We explore why data integration and workflow design matter more than raw analytics, how improving connectivity across the value chain can unlock margin, and where AI can play a practical role without taking control of decisions. Ken shares real-world examples of missed opportunities, execution bottlenecks, and emerging solutions that are helping companies move from fragmented, manual processes to faster, more resilient operations. 👤 About The Guest is a senior leader at DTN, a company specializing in data, analytics, and operational platforms for energy and commodity markets. He works closely with fuel suppliers, distributors, and terminal operators across North America to improve decision-making, supply chain visibility, and operational efficiency. Ken brings deep experience in connecting fragmented systems and data sources across the fuel value chain, helping organizations respond more effectively to market volatility and operational complexity. 💼. Ken on LinkedIn: 🌐 DTN: https://www.dtn.com ⚒️ Additional Tools & Resources 🎬 Go backstage and check out my studio: https://geoffreycann.com/mystudio/ 🎓 Take my one day digital strategy training course for oil and gas: https://www.udemy.com/course/digital-oil-and-gas/?referralCode=0161D4D49AB75735A185 🔗 Connect with Me 🖥️ Blog series: https://digitaloilgas.substack.com/ 🎧 Podcast: https://geoffreycann.com/broadcast/ 💼 LinkedIn: https://www.linkedin.com/in/advocate-digital-innovation-for-energy/ 🤬 X (formerly Twitter): https://x.com/geoffreycann ⚠️ Disclaimer The views expressed in this podcast are my own and do not constitute professional advice. /episode/index/show/digitaloilgas/id/41013330

Reinventing Turnarounds with AI: Link Planning Directly to Execution 04/25/2026

Reinventing Turnarounds with AI: Link Planning Directly to Execution Turnarounds are one of the most critical and expensive activities in oil and gas, yet many are still managed using spreadsheets, manual coordination, and tribal knowledge. Despite years of investment in digital systems, there remains a persistent gap between turnaround planning and execution in the field. This gap creates real consequences. Turnarounds often run into the hundreds of millions of dollars, and delays of even a single day can result in millions in lost production. At the same time, safety compliance is frequently based on self-declared reporting rather than verified outcomes, and frontline workers are expected to operate with tools that were never designed for how turnaround work actually happens. The question is how to connect turnaround planning directly to execution without adding complexity. Advances in artificial intelligence, mobile technology, and workflow design are enabling organizations to automate large portions of turnaround planning, connect back-office systems with field execution, and validate work using real data captured on site. In this episode, I speak with Pankaj Pawan, CEO and founder of Maximl, about how his company is reinventing turnarounds with AI. We discuss how to reduce delays, improve safety, and bridge the gap between planning and execution by building systems that actually work for frontline teams. 👤 About the Guest Pankaj Pawan is the CEO and founder of Maximl, a company focused on improving industrial operations through artificial intelligence and workflow optimization. He began his career at Goldman Sachs working in quantitative analysis and computer science before moving into industrial technology. After visiting a refinery early in his career, he identified a major gap between modern digital tools and frontline industrial work, which led him to build solutions that connect turnaround planning with execution in the field. #turnarounds #oilandgas #AI ⚒ Additional Tools & Resources 📚 My books: 🎬 Go backstage and check out my studio: 🔗 Connect with Me 📘 Industry Insight series: 🎧 Audio Podcast: 💼 LinkedIn: 👉 ⚠ Disclaimer The views expressed in this podcast are my own and do not constitute professional advice. /episode/index/show/digitaloilgas/id/41013195

Tokenizing the Barrel: Rewiring Oil Markets from Molecule to Money 04/15/2026

Tokenizing the Barrel: Rewiring Oil Markets from Molecule to Money The global oil market still runs on a horribly fragmented system where physical barrels, paper contracts, and financial settlement operate in parallel but disconnected layers. Transactions are dependent on manual processes, emails, PDFs, and handshake relationships built over decades. For a trillion dollar industry, the core trading infrastructure remains slow, opaque, and largely inaccessible for all but the largest players. This creates real operational and financial constraints. Settlement delays can stretch to 90 days, tying up working capital and exposing companies to liquidity risk. Market access is hobbled by lengthy know-your-customer processes and high barriers to entry. Here in the spring of 2026, with the Strait of Hormuz blocked, these inefficiencies add up to systemic challenges that will make eventual recovery much harder than it needs to be. It's time for a new approach, one that digitizes the physical barrel itself. By tokenizing crude oil into smaller, tradable units, markets can accelerate settlement, improve transparency, and broaden participation. Imagine a token that represents a real, physical quantity of oil, enabling traceability across the supply chain and creating a new layer of market visibility. This also opens the door to fractional ownership and new forms of capital access that were previously unavailable. In this episode, I am speaking with , co-founder of , the International Digital Exchange, about how tokenization could fundamentally reshape oil trading. We explore the inefficiencies of today’s system, the mechanics of turning barrels into digital assets, and why this shift could materially improve cash flow, transparency, and market access across the energy sector. 👤 About The Guest is a petroleum economist and energy trading professional with more than 20 years of experience in the oil and gas industry. He began his career at Petronas, where he worked across operations, logistics, and trading, managing products such as fuel oil, LPG, gasoline, crude oil, and naphtha. Over a 15-year tenure, he handled large-scale international trading portfolios, selling millions of barrels per month to major global buyers. Baron is now co-founder of , the International Digital Exchange, where he is focused on applying tokenization and blockchain technologies to modernize oil trading infrastructure. 🌐 website: ☎️ Contact: emily@energentmedia.net ⚒️ Additional Tools & Resources 🎬 Go backstage and check out my studio: https://geoffreycann.com/mystudio/ 🎓 Take my one day digital strategy training course for oil and gas: https://www.udemy.com/course/digital-oil-and-gas/?referralCode=0161D4D49AB75735A185 🔗 Connect with Me 🖥️ Blog series: https://digitaloilgas.substack.com/ 🎧 Podcast: https://geoffreycann.com/broadcast/ 💼 LinkedIn: https://www.linkedin.com/in/advocate-digital-innovation-for-energy/ 🤬 X (formerly Twitter): https://x.com/geoffreycann 🎤 Contact for Lectures and Keynotes I speak regularly on these and other topics. Contact me to book a brief call about your upcoming event needs: https://geoffreycann.com/contact/ ⚠️ Disclaimer The views expressed in this podcast are my own and do not constitute professional advice. /episode/index/show/digitaloilgas/id/40863355

How to Reduce Waste in Capital Projects: Using Execution Intelligence To Fix Broken Coordination 03/25/2026

How to Reduce Waste in Capital Projects: Using Execution Intelligence To Fix Broken Coordination Large-scale capital projects sit at the heart of the oil and gas industry, and across all infrastructure sectors (power, petrochemicals, rail, water, telecoms). These projects require tight coordination of people, equipment, and timelines, often under pressure to deliver quickly and safely. Despite heavy investment in planning tools and scheduling systems, the day-to-day reality remains fragmented, with teams working across disconnected systems and making decisions in isolation. The issue is not a shortage of data, but a lack of connected context. Teams make decisions that work locally, but cannot see the ripple effects across the broader project. When disruptions occur, such as missing materials or shifting priorities, organizations fall back on manual replanning, pulling experts together to work through scenarios. The result is familiar: delays, rework, misalignment, and a persistent focus on reacting to problems rather than anticipating them. A new approach is emerging that focuses on execution intelligence, not just planning. These systems sit across existing tools, capture real-time context, and use AI to recommend next steps while keeping humans in control. Instead of replacing systems like P6, they enhance them, helping teams understand what matters most today and how decisions impact the wider system. This allows experienced staff to apply judgment more effectively, while also enabling less experienced team members to make better decisions faster. In this episode, I am speaking with , Chief Product Officer at , about how fragmented decision-making slows down capital projects and why execution—not planning—is where projects succeed or fail. We explore how AI can surface hidden dependencies, improve decision quality, and help teams navigate complex trade-offs in real time. 👤 About The Guest is the Co-Founder and Chief Product Officer of , an AI-native decision infrastructure platform redefining how organizations structure, optimize, and scale decision-making in an era of overwhelming data and competing priorities. She is an experienced product leader with a background spanning AI infrastructure, knowledge systems, estimating, enterprise transformation, and large-scale capital project execution. Cali specializes in translating complex operational challenges into scalable product strategies, bridging business, technical architecture, and real-world execution across both startups and Fortune 50 environments. ⚒️ Additional Tools & Resources 🌐 Website: 💼 LinkedIN: 📧 Email Cali: 🎬 Go Backstage https://geoffreycann.com/mystudio/ 🎓 Take My one day course https://www.udemy.com/course/digital-oil-and-gas/?referralCode=0161D4D49AB75735A185 🔗 Connect with Me 🖥️ Blog series: https://digitaloilgas.substack.com/ 🎧 Podcast: https://geoffreycann.com/broadcast/ 💼 LinkedIn: https://www.linkedin.com/in/advocate-digital-innovation-for-energy/ 🤬 X (formerly Twitter): https://x.com/geoffreycann 🎤 Contact Me I speak regularly on these and other topics. Contact me to book a brief call about your upcoming event needs: https://geoffreycann.com/contact/ ⚠️ Disclaimer The views expressed in this podcast are my own and do not constitute professional advice. /episode/index/show/digitaloilgas/id/40595480

The Carbon Credibility Crisis: We Need Trustworthy Carbon Data 03/18/2026

The Carbon Credibility Crisis: We Need Trustworthy Carbon Data One thing I’ve learned from producing is that you can’t really trust with your own eyes what you see presented to you anymore. Green screens, video editing, and AI are so good now, and so inexpensive, that anyone can create compellingvideo content of scenes that didn’t happen in real life. As a result, I’m now very skeptical of claims that companies make that they don’t offer to back up. Consider the ‘organic’ chicken at the butcher shop. How do you really know that the chicken has led an exemplary life free from chemicals, pesticides, and growth hormones? Carbon emissions fall into this category. Carbon dioxide, the invisible by-product of engine output and cement making, has become the poster child for energy transition. Today, producers and (some) consumers are expected to not only reduce carbon emissions but account for them with surgical precision. Yet we need to face an uncomfortable fact: carbon data lacks credibility. It’s assembled from fragmented systems, manually reported and manipulated, or derived from engineering models. It’s no wonder that financial markets are skeptically treating carbon credits with such low valuations. Carbon accounting is a hot mess. ⚒️ Additional Tools & Resources 🎬 Go backstage and check out my studio: 🎓Take my one-day digital strategy training course for oil and gas: https://www.udemy.com/course/digital-oil-and-gas/?referralCode=0161D4D49AB75735A185 🔗 Connect with Me 📘Blog series: https://digitaloilgas.substack.com/ 🎧 Podcast: https://geoffreycann.com/broadcast/ 💼 LinkedIn: https://www.linkedin.com/in/advocate-digital-innovation-for-energy/ 🐦 X: https://x.com/geoffreycann 🎤 Contact for Lectures and Keynotes I speak regularly on these and related topics. Contact me to book a brief call about your upcoming event needs. 👉 https://geoffreycann.com/contact/ ⚠️ Disclaimer The views expressed in this podcast are my own and do not constitute professional advice. /episode/index/show/digitaloilgas/id/40518745

How to Spot Cyber Attacks on Physical Assets 03/04/2026

How to Spot Cyber Attacks on Physical Assets Industrial operations have spent decades optimizing for safety, reliability, and uptime. Control systems, sensors, and field equipment were designed to be stable and predictable, often isolated from the outside world. Cybersecurity, by contrast, evolved largely in IT environments, on a separate track, with different tools, assumptions, and incentives. That separation is no longer holding. Operational technology is becoming more connected, more digital, and more automated. Sensors stream data to the cloud, vendors require remote access, and AI-driven tools increasingly influence operational decisions. At the same time, cyber threats are moving faster, targeting physical systems with the potential for real-world safety and production impacts. One response is data meshing: combining traditional cyber telemetry with operational data such as vibration, maintenance history, and asset performance to create a richer, more reliable picture of what is really happening inside industrial environments. When these signals are viewed together, anomalies surface faster, false positives drop, and attacks become harder to hide. In this episode, I’m speaking with , VP of Global Industrial Cybersecurity at , and , Head of Solutions Development for Industrial Cybersecurity. We discuss why the old idea of the air gap is fading, how safety and cybersecurity are converging, what data meshing really means in practice, and why points of operational change are the right moment to rethink cyber risk. 👥 About the Guests is Vice President of Global Industrial Cybersecurity at . He has spent more than two decades working at the intersection of digital transformation, cybersecurity, and critical infrastructure, with prior roles spanning consulting, energy, and operational technology environments. Ian focuses on helping industrial organizations manage cyber risk as systems become more connected and automated. is Head of Solutions Development for Industrial Cybersecurity at . With a background in programming PLCs and operational systems, Keon bridges OT and cyber disciplines, designing practical security solutions that account for how industrial assets actually operate in the field. 🌐 🛠️ Additional Tools & Resources 🎬Go backstage and check out my studio https://geoffreycann.com/mystudio/ 🎓 Take my one-day digital strategy course for oil and gas https://www.udemy.com/course/digital-oil-and-gas/?referralCode=0161D4D49AB75735A185 🔗 Connect with Me 📘 Blog: https://digitaloilgas.substack.com/ 🎧 Podcast: https://geoffreycann.com/broadcast/ 💼 LinkedIn: https://www.linkedin.com/in/advocate-digital-innovation-for-energy/ 🐦 X: https://x.com/geoffreycann 🎤 Contact for Lectures and Keynotes I speak regularly on digital innovation, cybersecurity, and energy systems. Book a brief call about your upcoming event here: 👉 https://geoffreycann.com/contact/ ⚠️ Disclaimer The views expressed in this podcast are my own and do not constitute professional advice. /episode/index/show/digitaloilgas/id/40025725

Data Quality Is Your Bottleneck: Fix The Foundation Before Scaling AI 02/25/2026

Data Quality Is Your Bottleneck: Fix The Foundation Before Scaling AI Oil and gas companies generate enormous volumes of operational, geological, and production data. Despite this abundance, much of that data remains fragmented, inconsistent, and difficult to trust. Teams often spend a significant portion of their time preparing datasets rather than analyzing them. The result is delayed decision-making, inflated costs, and reduced operational agility. The core complication lies in data quality, data governance, and data readiness. Duplicate records, null values, drift, and structural inconsistencies make it difficult to move quickly from raw data to actionable insight. Asset teams frequently work semi-independently, each rebuilding transformation processes from scratch. Without reliable data foundations, scaling analytics, automation, or advanced modelling becomes difficult and costly. In this episode, I'm in conversation with , CEO of Kaarvi, to discuss how a structured approach to data ingestion, anomaly detection, ETL transformation, and data lineage can reduce time-to-insight from weeks to hours. He outlines how upstream teams can standardize workflows, support governance requirements such as SOC 2, and deploy platforms either on-premises or via SaaS. Clean, trusted data is a prerequisite for accelerating analytics and enabling more advanced digital capabilities. 👤 About the Guest is the CEO of Kaarvi, an enterprise data platform focused on data quality, governance, transformation, and observability. He previously worked in senior technology roles supporting national oil companies and has extensive experience managing large-scale industrial datasets across upstream environments. 🌐 Website: 💼 📊 Download the white paper: ⚒️ Additional Tools & Resources 🎬 Go backstage and check out my studio: 🎓Take my one-day digital strategy training course for oil and gas: https://www.udemy.com/course/digital-oil-and-gas/?referralCode=0161D4D49AB75735A185 🔗 Connect with Me 📘Blog series: https://digitaloilgas.substack.com/ 🎧 Podcast: https://geoffreycann.com/broadcast/ 💼 LinkedIn: https://www.linkedin.com/in/advocate-digital-innovation-for-energy/ 🐦 X: https://x.com/geoffreycann 🎤 Contact for Lectures and Keynotes I speak regularly on these and related topics. Contact me to book a brief call about your upcoming event needs. 👉 https://geoffreycann.com/contact/ ⚠️ Disclaimer The views expressed in this podcast are my own and do not constitute professional advice. /episode/index/show/digitaloilgas/id/40224620

Stranded Gas Has A Job Now: Why Pad Electrification With Gas Wins 02/18/2026

Stranded Gas Has A Job Now: Why Pad Electrification With Gas Wins Diesel generators have long been the default answer for powering upstream and midstream oil and gas sites. They are familiar, mobile, and deeply embedded in operating practice. Even in regions with abundant natural gas, operators often rely on fleets of diesel gens to run pumps, wireline units, and auxiliary equipment, treating gas as either waste or something to move to market while importing fuel to keep operations running. That status quo is becoming harder to defend. Diesel is expensive, noisy, logistically complex, and increasingly misaligned with emissions rules, carbon pricing, and community expectations. Operators face growing pressure to cut operating costs, reduce flaring, and lower emissions, while still maintaining reliability in the field. Yet infrastructure change moves slowly, driven more by habit and organizational friction than by technical limits. In this episode I’m speaking with , Vice President of Business Development at , about using stranded or low-value natural gas to electrify well pads and industrial sites. We discuss replacing dozens of diesel generators with a single gas-turbine microgrid, the economics of site electrification, what kinds of gas streams can be used, and why mindset, not technology, is often the real barrier. It’s a practical conversation about cost, reliability, emissions, and why electricity is quietly becoming the enabler of digital innovation in the field. 👤 About the Guest is Vice President of Business Development at . Based in Calgary, he has more than two decades of experience across upstream and midstream oil and gas. His current work focuses on site electrification, deploying natural-gas turbines and microgrids to displace diesel power at industrial and energy work sites. 📧 Contact Michael: 🌐 https://enterprisegrp.ca #michaelcjlawson ⚒️ Additional Tools & Resources 🎬 Go backstage and check out my studio: 🎓Take my one-day digital strategy training course for oil and gas: https://www.udemy.com/course/digital-oil-and-gas/?referralCode=0161D4D49AB75735A185 🔗 Connect with Me 📘Blog series: https://digitaloilgas.substack.com/ 🎧 Podcast: https://geoffreycann.com/broadcast/ 💼 LinkedIn: https://www.linkedin.com/in/advocate-digital-innovation-for-energy/ 🐦 X: https://x.com/geoffreycann 🎤 Contact for Lectures and Keynotes I speak regularly on these and related topics. Contact me to book a brief call about your upcoming event needs. 👉 https://geoffreycann.com/contact/ ⚠️ Disclaimer The views expressed in this podcast are my own and do not constitute professional advice. /episode/index/show/digitaloilgas/id/40026090

Why Data Centers Need One View Across Power, Facilities, and IT 02/11/2026

Why Data Centers Need One View Across Power, Facilities, and IT Data centers have shifted from supporting enterprise IT to running large parts of the digital economy. They now host AI model training, AI inference, and many critical digital services. As this shift accelerates, data centers are placing greater demands on power systems and operations teams. Managing energy use, uptime, and physical infrastructure has become central to how these facilities operate. The challenge is that data center growth is moving faster than the tools used to manage it. Many operators still depend on legacy monitoring systems and spreadsheets to understand complex environments. These approaches struggle with rising power density, sustainability targets, and security requirements. At the same time, data sovereignty and grid access are influencing where new infrastructure can be built. In this episode, I speak with , CEO and co-founder of , about how data center operations are changing. We discuss why cloud-native platforms are replacing legacy tools for managing power, facilities, IT, and OT systems. Jad explains how improved operational visibility supports security, efficiency, and scalability. We also explore what these shifts mean for energy companies and oil and gas producers supplying power to this growing infrastructure. 👤 About the Guest is the CEO and co-founder of , a cloud-native platform designed to manage and optimize critical digital infrastructure. He is a CPA and CMA with a master’s degree in professional accounting from the University of Texas at Austin. Jad previously helped scale a global hosting company from $35 million to over $600 million in revenue, overseeing large-scale infrastructure operations across multiple regions. 🌐 https://www.hyperviewhq.com 💼 https://www.linkedin.com/in/jadjebara/ ⚒ Additional Tools & Resources 🎬 Go backstage and check out my studio: https://geoffreycann.com/mystudio/ 🎓 Take my one day digital strategy training course for oil and gas: https://www.udemy.com/course/digital-oil-and-gas/?referralCode=0161D4D49AB75735A185 🔗 Connect with Me 🖥 Blog series: https://digitaloilgas.substack.com/ 🎧 Podcast: https://geoffreycann.com/broadcast/ 💼 LinkedIn: https://www.linkedin.com/in/advocate-digital-innovation-for-energy/ 🤬 X (formerly Twitter): https://x.com/geoffreycann 🎤 Contact for Lectures and Keynotes I speak regularly on these and related topics. Contact me to book a brief call about your upcoming event needs: https://geoffreycann.com/contact/ ⚠️ Disclaimer The views expressed in this podcast are my own and do not constitute professional advice. /episode/index/show/digitaloilgas/id/40024810

Money Under the Mattress 01/21/2026

Money Under the Mattress Oil and gas operators have always known that surplus equipment is part of doing business. Projects get cancelled. Long-lead items are over-ordered. Assets are parked in yards, warehouses, and sea cans “just in case.” Over time, those decisions quietly turn into idle capital sitting on balance sheets, often forgotten until space runs out or write-downs loom. What’s changed is the cost of ignoring it. Tight capital markets, tariffs, long lead times, and supply chain friction make surplus harder to justify. At the same time, operators face pressure to improve capital efficiency, demonstrate sustainability, and recover value from assets that still have useful life. Leaving equipment to rust is no longer neutral. It is a choice with a price tag. There is, however, a better way. With the right data, photos, documentation, and market reach, surplus assets can be exposed to real demand, often well beyond the local buyer network. Digital marketplaces create price discovery, expand the buyer pool across industries and geographies, and turn forgotten inventory into cash, faster than expected. In this episode, I’m joined by , an account executive in the Energy Division at . We talk about why surplus builds up, why data really is money, how digital marketplaces like change recovery outcomes, and why many operators are discovering real value hiding in plain sight. #Surplus #InvestmentRecovery #AssetRecovery #CircularEconomy #OilAndGas #FleetManagement #AssetDisposition 🗣️ About the Guest is an account executive with , working in the Energy Division. She brings more than 30 years of oil and gas experience, including a decade in operations at a turnkey drilling company, where inventory management was a core responsibility. That background gives her a practical, operator-level view of how surplus builds up and how it can be monetized. Today, she helps energy companies convert surplus equipment into liquidity through AllSurplus’ global digital marketplace. 🔗 Connect with Xochi Schumann LinkedIn: email: website: Liquidity Services: https://www.linkedin.com/company/liquidity-services-inc AllSurplus: https://www.linkedin.com/company/allsurplus ⚒️ Additional Tools & Resources: 🎬 Go backstage and check out my studio: 👉 🎓 Take my one day digital strategy training course for oil and gas: 👉 🔗 Connect with Me: 🖥️ Blog series: 🎧 Podcast: 📇 Linkedin: 🤬 X: 🎤 Contact for Lectures and Keynotes: I speak regularly on these and other topics. Contact me to book a brief call about your upcoming event needs. Click here 👉 ⚠️ Disclaimer: The views expressed in this podcast are my own and do not constitute professional advice. /episode/index/show/digitaloilgas/id/39802545

AI Agents Are Starting To Reshape Upstream Operations 01/14/2026

AI Agents Are Starting To Reshape Upstream Operations Upstream oil and gas companies continue to be very reliant on spreadsheets, legacy systems, and manual workflows to manage thousands of wells, compliance filings, and capital decisions. It’s labor-intensive, error-prone, and slow. In light of global energy transition moves, operators are now facing ongoing margin pressure, a supply glut, tighter emissions regulations, and a shrinking pool of skilled labor. Digital solutions to soften the impacts of these pressures too often end up in “pilot hell”, with limited results, stalled momentum, and no path to scale. Core systems like SCADA and ERP can’t be easily adapted, and the early stage AI tools are often dismissed as too risky, inaccurate, or incompatible with real-world operations. Capital markets frown on any moves that sacrifice short term ROI for the possibility of better results later. New agentic AI tools look perfectly placed to address these constraints, but getting started is daunting. In this episode, I speak with AI strategy advisor who outlines how a handful of upstream operators are now using agentic AI (modular software agents), that augment field teams and automate critical tasks across production, compliance, and finance. Already live across 1,500 wells, these tools have delivered a 3–10% uplift in production, 5–15% profit lift, and >90% reduction in compliance workload. Jeff explains how companies can start small, define just a few key KPIs, and stand up agents in under two months, all without touching core systems. From Sarbanes-Oxley readiness to workover economics, it’s a roadmap for scaling AI one agent at a time. 👤 About the Guest is the founder of and an AI strategy advisor to $100M–$1B+ companies. A former Microsoft leader, he created the PIVOT AI™ framework to help executive teams identify high-impact AI use cases and deliver results fast. In oil and gas, he partners with Mango Bites (Pixie AI) to enable production optimization, profitability, and compliance across upstream field operations. 🌐 Website: 💼 LinkedIn: 📧 Email: ⚒️ Additional Tools & Resources: 🎬 Go backstage and check out my studio: 👉 🎓 Take my one day digital strategy training course for oil and gas: 👉 🔗 Connect with Me: 🖥️ Blog series: 🎧 Podcast: 📇 Linkedin: 🤬 X: 🎤 Contact for Lectures and Keynotes: I speak regularly on these and other topics. Contact me to book a brief call about your upcoming event needs. Click here 👉 ⚠️ Disclaimer: The views expressed in this podcast are my own and do not constitute professional advice. /episode/index/show/digitaloilgas/id/39474290

Why Bad Data Undermines AI, And How Good Governance Fixes It 01/07/2026

Why Bad Data Undermines AI, And How Good Governance Fixes It The energy industry is rapidly adopting artificial intelligence. Its promises of improved productivity, safety, and operational insight are too good to ignore. But these tools are only as good as the data that feeds them. And therein lies the problem: data across the sector is often incomplete, inconsistent, and scattered. This historic lack of discipline around data now has consequences. Poor data quality when used in AI undermines any project leveraging AI, exposing companies to greater audit risk, slowing down decision-making, and derailing expensive digital programs. Worse, AI tools amplify these flaws, making unreliable data more visible than ever. In one instance, a company’s emissions breach turned out to be a data error that triggered fines, audits, and reputational damage. Companies struggle to respond, given the scale of the challenge. Getting control of enterprise data often feels like boiling the ocean, compounded by organizational practices that empower every business unit to do things their own way. In this week’s podcast, I speak with , who knows this challenge well. As the founder and Managing Director of , a Calgary-based consultancy, he’s led enterprise-wide transformation programs that put data governance at the center of AI readiness. In this episode, Waseem shares what good governance really looks like, the cultural barriers companies must overcome, and how to turn data from a liability into a high-value asset. 👤 About the Guest is the Founder and Managing Director of , a Calgary-based professional services firm focused on complex digital transformations in the energy sector. Building on his lengthy career with leading organizations in professional services, Waseem brings deep expertise in project delivery, change management, and digital enablement. specializes in transformation programs tied to regulatory compliance, operational efficiency, cost optimization, and AI-driven insights. 🔗 🌐 ⚒️ Additional Tools & Resources: 🎬 Go backstage and check out my studio: 👉 🎓 Take my one day digital strategy training course for oil and gas: 👉 🔗 Connect with Me: 🖥️ Blog series: 🎧 Podcast: 📇 Linkedin: 🤬 X: 🎤 Contact for Lectures and Keynotes: I speak regularly on these and other topics. Contact me to book a brief call about your upcoming event needs. Click here 👉 ⚠️ Disclaimer: The views expressed in this podcast are my own and do not constitute professional advice. /episode/index/show/digitaloilgas/id/39470800

Why Digital Sovereignty Matters 12/17/2025

From Brownfield to Greenfield to Bluefield 12/10/2025

From Brownfield to Greenfield to Bluefield Most large enterprises rely on a handful of expansive technology platform solutions to run their business, and the most prominent and widely deployed in oil and gas is SAP. As I’ve outlined in my books, enterprise solutions such as SAP are also migrating to digital technologies, which triggers a major question: what is the optimal upgrade path for an SAP customer, or any enterprise technology, to adopt? Broadly speaking, there are two strategies to this vexxing question: a brownfield migration or “lift and shift” and a greenfield re-implementation or “start afresh”. The problem is that brownfield upgrades rarely deliver any ROI while greenfield is seen as too risky, costly, or complex to execut, especially at the global scale one encounters among the oil and gas majors. Is there a third path, where organizations can preserve their historical data, stay compliant, and still deliver tangible business outcomes? In this episode I speak with , Global Head of Products and Innovation at about a new approach, coined ‘bluefield’. Bluefield lets companies dial in just the right amount of transformation, one that preserves key data, avoids excessive risk, and achieves a positive ROI. I’m very interested in how Bluefield works, how it supports AI training strategies, when to use it, and why it’s becoming an attractive model for SAP S/4HANA transitions, and indeed all major platform solution transformations. 👤 About the Guest is the Global Head of Products and Innovation at , where he leads strategy for the company’s transformative deployment technologies, including its flagship Bluefield methodology. Don brings over 30 years of experience across process industries, enterprise software, and solution management. He previously held senior roles at SAP, overseeing strategic accounts like ExxonMobil and leading SAP’s global chemical industry business unit. 🔗 🌐 ⚒️ Additional Tools & Resources: 🎬 Go backstage and check out my studio: 👉 🎓 Take my one day digital strategy training course for oil and gas: 👉 🔗 Connect with Me: 🖥️ Blog series: 🎧 Podcast: 📇 Linkedin: 🤬 X: 🎤 Contact for Lectures and Keynotes: I speak regularly on these and other topics. Contact me to book a brief call about your upcoming event needs. Click here 👉 ⚠️ Disclaimer: The views expressed in this podcast are my own and do not constitute professional advice. /episode/index/show/digitaloilgas/id/38995000

Can You Test A Plant Before It's Built? 12/03/2025

Can You Test A Plant Before It's Built? Motors are the quiet workhorses of industry. They drive pumps, fans, compressors, and heaters, and they consume more than sixty percent of the power in most industrial operations. When operators need to control motor speed, they historically relied on mechanical adjustments or trial-and-error testing to keep processes stable and safe. As motors get larger and drive trains more complex, traditional testing approaches no longer work. Bringing every component together for a full string test adds months of delay and millions of dollars in logistics. The industry is conservative and reference driven, which makes it hard for operators to trust new configurations without seeing them proven first. This is where simulations shine. In this episode, I speak with , Vice President of Global Sales for – Process Industries, about simulation twins that let operators model the entire system before it’s built. These “virtual plants” replicate the grid, the drives, the motors, and the compressor. With software-in-loop and hardware-in-loop tools, operators can validate performance, tune configurations, and eliminate expensive string tests. The result is faster execution, lower cost, deeper system insight, better training, and continuous improvement across the plant lifecycle. 👤 About the Guest is the Vice President of Global Sales for – Process Industries. With over 20 years of experience in the Oil & Gas and other Process industries, Anand has held various roles from commissioning engineer to sales leader. He is also an accomplished author, having written two books. Anand holds an MBA from the University of Alberta in Canada and a B.Tech in Electronics and Instrumentation. 🌐 🔗 📧 🧰 Additional Tools and Resources Go backstage and check out my studio: Take my one day digital strategy training course for oil and gas: 🔗 Connect with Me Blog series: Podcast: LinkedIn: X: 🎤 Contact for Lectures and Keynotes I speak regularly on these and other topics. Contact me to book a brief call about your upcoming event needs: ⚠️ Disclaimer The views expressed in this podcast are my own and do not constitute professional advice. /episode/index/show/digitaloilgas/id/39081640

Breaking the Paper Habit 11/26/2025

Breaking the Paper Habit Canada’s energy sector has long struggled with low productivity on the front line, as indeed the entire Canadian economy. Despite heroic efforts by tradespeople, their effectiveness is hamstrung by badly dated processes, old disconnected systems, and paper-based workflows. The problem isn’t the workers. It’s that they’re too often sent out with the wrong drawings, the wrong tools, the wrong permits, or even to the wrong location. Multiply that by a hundreds of thousands of jobs, and you’ve got a national productivity drag. One company, , set out to build a completely paperless, digitally connected operation, starting at the job site. By linking trades, materials, safety workflows, and quality processes into a seamless digital flow, has achieved something few believe is possible: cutting required manpower by 40% to 45% on major jobs. In this episode, I speak with , MSCP’s founder and CEO, on lessons he took from Fort McMurray’s distant job sites and turned them into a blueprint for frontline innovation, cross-trade productivity, and system-level change. We talk technology, training, and trust, and why it’s not about buying a platform, but building a mindset. 👤 About the Guest is the President and CEO of , based in Sherwood Park, Alberta. A former frontline tradesman with deep experience in Fort McMurray turnarounds and major projects, Chris launched MSCP in 2011 with a simple belief: there has to be a better way. Today, MSCP operates as a fully digital contractor, combining electrical, insulation, rope access, material handling, and fabrication into a unified and highly productive system of work. Chris is a vocal advocate for trades-focused innovation, continuous improvement, and the future of work in energy. 🔗 Website: 🛠 Additional Tools & Resources 🎥 Go backstage and check out my studio: 📚 Take my one-day digital strategy training course: 🌐 Connect with Me 📝 Blog series: 🎙 🔗 🐦 🎤 Contact for Lectures and Keynotes I speak regularly on these and other topics. for your upcoming event: ⚠️ Disclaimer The views expressed in this podcast are my own and do not constitute professional advice. /episode/index/show/digitaloilgas/id/38903375

Taming the Owner Communications Chaos 11/19/2025

Taming the Owner Communications Chaos Oil and gas companies are finally confronting the huge communications and stakeholder challenge they face with their asset owners and stakeholders. Production assets such as oil and gas wells almost always have many part owners (land owners, JV partners, interest-holders, trusts, first nations tribes). Managing these hundreds or thousands of parties across tens of thousands of wells is really demanding. These relationships are complex, sensitive and often layered with legacy ownership structures, royalty flows, regulatory demands and reputational risk. This is much more than an operational hassle. It’s a brand and trust issue. When owners ask: “Where’s my check?” or “What’s this charge on my statement?”, slow responses can damage goodwill, complicate legal compliance and create unnecessary risk. Companies try to manage but have often saddled themselves with dueling systems in the land department, operations, legal, and corporate communications. I was delighted to learn about , a clever digital solution to this chaos, that was co-founded by two brothers, and , and partner . was initially aimed at the legal profession, who also have many parties to manage, but the stakeholder problem in oil and gas turned out to be far more pressing. Their purpose‑built platform delivers better and more responsive owner communications, stakeholder transparency and operational risk reduction. It uses AI to answer many routine enquiries freeing up scarce staff to focus on more important tickets. Owners see their relationship through a portal, and companies even save on paper and postage. 👤 About the Guests is co‑founder of , an AI-based owner relations software headquartered in Norman, OK. Before Firm App, Deren served as Senior Vice President of New Markets at KPA, leading growth strategy and expansion into new industries following KPA’s acquisition of iScout, an EHS management software he co-founded in 2020. Earlier in his career, Deren was Vice President of Safety and Compliance for Crescent Companies, an oilfield services firm based in Oklahoma City. A proud graduate of the University of Oklahoma, Deren holds a Bachelor’s in Health & Sports Science and a Master’s in Adult and Higher Education. Before entering the safety and software industries, he spent seven years in intercollegiate athletics at OU as Assistant Athletics Director of Development and Director of Basketball Operations. Deren lives in Norman OK with his wife, Monica, and their four children. is a co‑founder of , an AI-based owner relations software headquartered in Norman, OK. Prior to Firm App, he served as Director of Corporate Development for Crescent Services, LLC, an oilfield services company based in Oklahoma City. Applying his knowledge of oilfield operations, Dagen co-founded iScout, an EHS management software that offers safety reporting, training, asset management, and more. iScout was acquired by KPA Services in 2020. Dagen is a proud graduate of the University of Oklahoma and lives in Edmond, OK with his wife and their three children.. 🔗 🔗 🔗 🌐 🛠️ Additional Tools & Resources 🎙 📚 🔗 Connect with Me 🧠 📖 🎧 💼 📢 🎤 Contact for Lectures and Keynotes I speak regularly on these and other topics—if you’re looking for a speaker at your next event, to book a call for your needs. ⚠️ Disclaimer The views expressed in this podcast are my own and do not constitute professional advice. /episode/index/show/digitaloilgas/id/38997005

Unlocking Capital for Latin America’s Energy Transformation 11/13/2025

Unlocking Capital for Latin America’s Energy Transformation Latin America is entering a period of rapid economic growth, urbanization, and industrial expansion. Unlike North America and Europe, where primary energy demand has been flat for more than a decade, the region’s energy consumption is rising sharply. A young, increasingly urban population is pushing electricity and fuel demand higher, placing new pressure on infrastructure and supply. This demand surge is colliding with a second global shift: the explosive rise of AI and hyperscaler data centers. These digital megaprojects require enormous volumes of power, often sourced from natural gas, renewables, or hybrid portfolios. Latin America, with its prolific basins, high solar irradiation, hydropower potential, and significant natural gas reserves, is strategically positioned to supply this emerging demand. Yet the region remains capital constrained, and traditional financing channels have not kept up. New financial tools, such as tokenized assets, sustainable linked bonds, and AI-enabled verification, offer a path forward. These instruments can reduce sovereign risk premiums, improve transparency, and unlock large-scale investment in energy infrastructure, LNG, renewables, and data center development. My guest in this episode is , founder and CEO of , who last joined the podcast in 2020 to discuss tokenization and information asymmetry in private markets. In this conversation, we explore how the landscape has shifted, why Latin America is becoming a focal point for global capital, and how digital finance can accelerate development across energy, infrastructure, and digital economies. 👤 About the Guest is the Founder and CEO of , an AI-powered platform for tokenizing real-world assets and structuring digital financial instruments for global investors. A former investment advisor with TD and RBC, Eduardo has deep experience in capital markets, natural resources, and emerging market finance. He has advised governments, national oil companies, and private firms on energy reform, capital formation, and sustainable finance. 🌐 📊 🔗 🎤 on this podcast (2020) 🛠️ Additional Tools & Resources 🎓 📝 🎧 🔗 Connect with Me 🌐 💼 ✖️ 🎤 Contact for Lectures and Keynotes I speak regularly on these and related topics. 📞 ⚠️ Disclaimer The views expressed in this podcast are my own and do not constitute professional advice. /episode/index/show/digitaloilgas/id/39017680

Power Without Surprises 11/12/2025

Power Without Surprises Electricity powers nearly everything in oil and gas, from pumps and motors, to compressors and digital systems. But while production engineers obsess over volumes and temperatures, the quality of the electricity driving their systems is often overlooked. Most teams only discover power issues after equipment fails, leading to unplanned downtime and costly repairs. Unfortunately, traditional power quality meters and relay monitors don’t catch the early warning signs. They lack resolution, require manual data pulls, and don’t provide actionable insights. Worse still, the frontline technicians tasked with using these tools rarely have time to analyze the data. As the industry electrifies, and hyperscalers start co-locating AI data centers with natural gas fields, the demand for clean, reliable power is rising fast, and the risks of ignoring it are getting more expensive by the day. In this episode, I speak with why “ghost electrical problems” aren’t ghosts at all, but just data you haven’t seen yet, and how his background in chip design and solid-state power is shaping the future of uptime. His company, , offers a different path forward. This plug-and-play system captures continuous waveform-level data and sends it to the cloud, where intelligent analytics flag problems before assets fail. It’s already saving operators time, money, and headaches by pinpointing power sags, identifying failing contactors, and reducing arc flash risks. 👤 About the Guest With a background in electrical engineering founded Volta Energy in 2009. His passion for technology and cars has led him down a path of working in semiconductors, power electronics and software development with his spare time devoted to rebuilding cars. Denis is focused on leveraging his technical know-how to solve problems and build businesses around those solutions with a firm belief that businesses exist to serve customers and that people within organizations need to be empowered to execute without obstacles in order for an organization to reach its full potential. #InsiteAI #PredictiveMaintenance #PowerQuality 🔗 📧 hbarber@voltainsite.com 🌐 🛠️ Additional Tools & Resources 🎓 📝 🎧 🔗 Connect with Me 🌐 💼 ✖️ 🎤 Contact for Lectures and Keynotes I speak regularly on these and related topics. 📞 ⚠️ Disclaimer The views expressed in this podcast are my own and do not constitute professional advice. /episode/index/show/digitaloilgas/id/38763710

Navigating The Maze of Global Energy Regulation 11/05/2025

Navigating The Maze of Global Energy Regulation In all my years of experience in energy, I rarely worked in pure regulatory areas, but regulations loomed large over everything I touched. The energy sector is very highly regulated, and for very good reasons. From environmental standards to carbon pricing, energy companies are held to a high standard and must demonstrate that compliance to operate locally, regionally, and globally. The regulatory landscape is highly dynamic and under constant change. New regulatory frameworks emerging from Europe and the United States will reshape how energy companies, particularly in North America, do business domestically, and abroad. Three new frameworks—the European Union’s Deforestation Regulation (EUDR) and Carbon Border Adjustment Mechanism (CBAM), as well as the U.S. Inflation Reduction Act (IRA)—will impact North American energy companies that export to Europe. If you’re an energy executive working in exportable energy, such as LNG, oil, methanol, hydrogen, or refined petroleum, you might find this post of interest. These regulations will affect operations, compliance strategy, and ultimately, financial results. Fortunately, there are digital solutions at the ready that meet both today’s regulatory demands while future-proofing your business for tomorrow’s more stringent requirements. ⚒️ Additional Tools & Resources: 🎬 Go backstage and check out my studio: 👉 🎓 Take my one day digital strategy training course for oil and gas: 👉 🔗 Connect with Me: 🖥️ Blog series: 🎧 Podcast: 📇 Linkedin: 🤬 X: 🎤 Contact for Lectures and Keynotes: I speak regularly on these and other topics. Contact me to book a brief call about your upcoming event needs. Click here 👉 ⚠️ Disclaimer: The views expressed in this podcast are my own and do not constitute professional advice. 🗣️ Download the Transcript! Want the actual script that this podcast is based on? You can download the transcript for this podcast here: 👉 https://digitaloilgas.substack.com/p/navigating-the-maze-of-global-energy /episode/index/show/digitaloilgas/id/38931605

The Safety Copilot 10/29/2025

Digital Innovations in Oil and Gas with Geoffrey Cann

TOPICS