EnergyTech Podcast

Live video can overwhelm the same low-bandwidth networks that carry SCADA data. Stewart McCone, CEO of Videosoft Global, joins host Mike Flores to explain how video compression and efficient transmission can make remote video monitoring practical for oil and gas operators.Recorded at the 2026 ENTELEC Fall Seminar in Odessa, Texas, this conversation explores getting useful live video from remote facilities while managing limited network capacity. Stewart describes a 30,000-camera project for a major U.S. midstream company and shares what has changed since his last appearance on the Energy Tech Podcast.They also discuss integrating with existing cameras and video management systems (VMS), securing video feeds, and expanding remote visibility through drones and mobile devices. Stewart outlines Videosoft’s plans to develop AI features with partners and explores where edge processing could help.IN THIS EPISODE⚡ Video compression for constrained SCADA and satellite networks⚡ Managing latency, buffering, and unreliable connections⚡ Video security, encryption, and certificate management⚡ Integration with existing cameras and legacy VMS platforms⚡ Potential edge AI and optical gas imaging applications⚡ BVLOS drones, mobile video, and site-based proofs of conceptWhat’s the biggest obstacle to live video at your remote sites: bandwidth, reliability, security, or legacy integration? Tell us in the comments.Subscribe to the Energy Tech Podcast, presented by OpSite Energy, for conversations with the people building and using technology across oil and gas, energy, and critical infrastructure.CHAPTERS00:00 Welcome from ENTELEC in Odessa01:16 What Videosoft does for low-bandwidth video02:11 Video as operational information04:24 Growth after a 30,000-camera deployment06:25 Avoiding video bottlenecks on SCADA networks08:09 Unstable links, buffering, and packet loss09:52 Video security, encryption, and certificates11:51 Edge AI and Videosoft’s development plans13:19 Optical gas imaging and edge processing14:23 Integrating with legacy cameras and VMS16:09 BVLOS drones and mobile video18:06 Starting a proof of concept19:20 What’s next for Videosoft in 202720:16 Upstream applications and closing thoughtsWEBSITES & RESOURCESVideosoft Global: https://www.videosoftglobal.com/Videosoft for energy and oil & gas: https://www.videosoftglobal.com/industries/energy/How Videosoft works: https://www.videosoftglobal.com/solutions/how-does-it-work/ENTELEC: https://www.entelec.org/OpSite Energy: https://opsiteenergy.com/Listen to the Energy Tech Podcast: https://opsiteenergy.podbean.com/MUSIC“Fast Life” by Uygar DuzgunCourtesy of Epidemic Soundhttps://www.epidemicsound.com/#SCADA #OilAndGas #EnergyTechPodcast

CSIA helps system integrators build stronger businesses and earn lasting customer trust. At ICC 2026 in Sacramento, Adrienne Meyer, CEO of the Control System Integrators Association, joins host Mike Flores to discuss the business practices behind a dependable industrial automation partner.From project management and customer relationships to third-party audits and certification, Adrienne explains how CSIA supports integration companies as they grow. She also shares why experienced firms continue getting recertified, how integrators learn from each other’s mistakes, and where AI fits into improving their businesses and helping customers.In this conversation:⚡ CSIA’s mission to help system integrators run better businesses⚡ Best practices for project management, finance, cybersecurity, and growth⚡ What CSIA certification means for integrators and their customers⚡ Training, special interest groups, and collaboration across the automation industry⚡ Lessons from costly automation mistakes⚡ Exploring AI for business efficiency and customer applicationsWhether you run a system integration company or choose partners for SCADA and industrial automation projects, this episode explores what supports a strong working relationship over the long haul.The Energy Tech Podcast is presented by OpSite Energy. Subscribe for practical conversations with the people building and using industrial technology.What matters most when you choose a system integrator? Share your experience in the comments.WEBSITES & RESOURCESCSIA — Control System Integrators Association:[https://controlsys.org/](https://controlsys.org/)CSIA Membership:[https://controlsys.org/join/](https://controlsys.org/join/)CSIA 2027 Conference — April 27–30, Nashville:[https://controlsys.org/upcoming-events/2027-csia-conference-home/](https://controlsys.org/upcoming-events/2027-csia-conference-home/)OpSite Energy:[https://opsiteenergy.com/](https://opsiteenergy.com/)Ignition by Inductive Automation:[https://inductiveautomation.com/](https://inductiveautomation.com/)CHAPTERS00:00 Welcome to ICC 2026 and Adrienne Meyer01:02 First impressions of ICC and the Ignition community03:22 CSIA’s mission: Helping integrators run better businesses06:12 CSIA Best Practices and Benchmarks07:36 CSIA certification, audits, and customer trust10:43 Why experienced integrators keep getting recertified11:47 Training, special interest groups, and partner support12:52 The CSIA conference and integrator collaboration14:45 Learning from costly automation mistakes16:24 AI for integrator efficiency and customer value17:22 How to get involved with CSIAMusic: Uygar Duzgun / “Fast Life” courtesy of [www.epidemicsound.com](https://www.epidemicsound.com)#CSIA #SystemIntegration #IndustrialAutomation #Ignition #EnergyTechPodcast

Why do smart companies still make bad technology decisions? Richard “Rich” Tarity, founder and CEO of truCX and author of The Intelligence Within, joins Jeff Perry and Mike Flores to discuss digital transformation, AI, and the costly gap between assumptions and evidence.Recorded from the OpSite Energy Control Center in Canonsburg, Pennsylvania, with Rich joining remotely, this conversation explores why technology selection should begin with understanding the business. Rich explains how structured discovery, frontline knowledge, and stakeholder alignment can help teams define the right problem before choosing a platform.For leaders in oil and gas, utilities, and industrial operations, the discussion connects these ideas to technology projects, procurement, change management, and the pressure to deliver value faster. Rich also shares his vision for using AI and connected business data to uncover friction points while keeping human judgment central.IN THIS EPISODE⚡ Why digital transformation projects struggle before implementation⚡ The hidden cost of treating assumptions as requirements⚡ Tapping into frontline expertise and tribal knowledge⚡ Why meetings and consensus do not always create alignment⚡ Using structured discovery to build clearer technology requirements⚡ Lessons from a utility company’s discovery and procurement process⚡ AI as an amplifier of human thinking and decision-making⚡ Continuous improvement and the demand for faster resultsWhat slows technology decisions down most in your organization: unclear requirements, internal alignment, or vendor selection? Tell us in the comments.Subscribe to the Energy Tech Podcast for practical conversations about technology, AI, and digital transformation across energy and industrial operations.CHAPTERS00:00 Welcome and introduction to Richard Tarity02:02 Rich’s background and The Intelligence Within03:54 Why digital transformation projects fail06:33 Who should be involved in technology decisions?11:37 Assumptions, frontline expertise, and tribal knowledge16:52 Why meetings do not guarantee alignment19:48 Anonymous feedback and employee buy-in22:52 Flawed discovery and connecting business data25:17 The truCX discovery framework and AI roadmap30:28 Applying discovery to energy and industrial projects37:06 Speed, AI, and adapting to change39:26 Turning business data into actionable signals42:25 Discover first, decide second43:54 Continuous improvement and future benchmarking46:47 AI as an amplifier of human intelligence49:15 A new generation of technology buyers53:40 Where to find Rich, truCX, and the bookWEBSITES & RESOURCEStruCX: https://trucx.net/Richard Tarity: https://richardtarity.com/The Intelligence Within on Amazon: https://www.amazon.com/Intelligence-Within-Organizations-Breaking-Complex/dp/B0FCCRD3H2Richard Tarity on LinkedIn: https://www.linkedin.com/in/rtarity/OpSite Energy: https://opsiteenergy.com/Listen to the EnergyTech Podcast: https://opsiteenergy.podbean.com/MUSIC“Fast Life” by Uygar DuzgunCourtesy of Epidemic Soundhttps://www.epidemicsound.com/#DigitalTransformation #ArtificialIntelligence #EnergyTechPodcast

Claude Code, Ignition SCADA, and industrial AI are changing how automation projects get built. Jonathan Hottell of Proton Automation joins host Mike Flores at ENTELEC to discuss his experience building SCADA systems with Claude Code and developing an MCP server for Ignition.They explore why MQTT, open standards, and a unified namespace matter for bringing context to industrial data—and why that foundation matters for AI readiness in oil and gas. Jonathan also shares what changed his mind about AI and why faster development still requires engineering judgment and production testing.The conversation covers:• Using Claude Code and MCP with Ignition• MQTT adoption, legacy RTUs, and vendor lock-in• Unified namespace and contextualized SCADA data• AI’s role in supporting SCADA developers• The gap between a fast prototype and a production-ready system• Potential applications in alarm management and production forecasting• Local AI models, data security, and edge computing• A preview of Jonathan’s Ignition Oil and Gas Collective presentationSubscribe to the Energy Tech Podcast for conversations with the people building and using technology across oil and gas.Where would AI make the biggest difference in your SCADA workflow: development, alarm management, or data analysis? Let us know in the comments.CHAPTERS00:00 Welcome and Jonathan Hottell introduction01:13 MQTT adoption and legacy RTUs03:08 Open standards and vendor lock-in04:28 Unified namespace and AI-ready data06:53 AI agents and the pace of change07:42 Ignition MCP and building SCADA with Claude Code09:06 Will AI replace SCADA developers?12:20 From AI prototype to production-ready software12:58 Ignition Oil and Gas Collective preview15:40 Industrial AI use cases and sandbox testing17:52 Local AI models and data security20:41 Data orchestration, FlowFuse, and Node-RED22:04 Edge computing and smaller AI models23:47 OpSite alarm management and closing thoughtsMusic: “Fast Life” by Uygar DuzgunCourtesy of Epidemic Soundhttps://www.epidemicsound.com#SCADA #Ignition #IndustrialAI

How can industrial data move from PLCs and SCADA into business systems, cloud platforms, and AI workflows? Coreflux co-founder and CEO Hugo Vaz joins the Energy Tech Podcast to discuss MQTT, Ignition integration, and the Language of Things.Recorded at ICC 2026 in Sacramento, this conversation explores how Coreflux grew out of the frustrations of hands-on systems integration—and how its approach helps teams connect equipment, transform data, and build repeatable workflows.Host Mike Flores and Hugo discuss practical examples involving legacy systems, oil and gas operations, SAP, Snowflake, and Kafka. They also explore data governance and controlling what connected devices, applications, and AI agents can access or write.IN THIS EPISODE• Why Hugo helped build Coreflux after working as an integrator• MQTT, Sparkplug B, and unified namespace concepts• The Language of Things: actions, models, rules, and routes• Connecting legacy equipment and adding context to industrial data• Potential applications for drilling, completions, and distributed energy operations• Repeatable deployments using LoT Notebooks, VS Code, and Cursor• Connecting Ignition SCADA with SAP and other enterprise systems• Streaming data to Snowflake, Kafka, and cloud services• Reducing repetitive integration work while maintaining customization• Data governance and access controls for devices, applications, and AI agentsIf you work in SCADA, industrial automation, OT, systems integration, or energy operations, this episode offers a practical look at connecting field data with the rest of the business.CHAPTERS00:00 Welcome to the Energy Tech Podcast01:02 Hugo’s First ICC: Collaboration and the Ignition Ecosystem04:03 Why Coreflux Was Built: An Integrator’s Frustration06:42 MQTT Integration and the Language of Things09:33 Actions, Models, Rules, and Data Governance12:17 Routes, Legacy Systems, and Sparkplug B15:05 Oil and Gas Applications: Drilling, Completions, and Edge Data18:33 LoT Notebooks and Repeatable Deployments19:15 Coreflux Hub and Developer Tools21:24 Connecting Coreflux, Ignition, and SAP23:36 Snowflake, Kafka, Cloud Connectivity, and Scaling25:21 REST APIs and AI-Assisted Connector Development26:27 Reducing ETL Work and Time to Value28:15 Final Takeaways and ClosingGUESTHugo Vaz — Co-Founder & CEO, CorefluxHOSTMike FloresPRODUCTIONJeff PerryPRESENTED BYOpSite Energy — Insight Driven Remote OptimizationEXPLORE MORECoreflux: https://www.coreflux.org/Coreflux LoT Templates: https://templates.coreflux.org/OpSite Energy: https://www.opsiteenergy.com/Subscribe to the Energy Tech Podcast for conversations about industrial automation, modern SCADA, operational data, and technology in the energy industry.What is the hardest integration in your operation today? Tell us in the comments.#MQTT #IgnitionSCADA #IndustrialAutomation

How much valuable operating data is still trapped on disconnected instruments, handwritten logs, and manual field rounds? WIKA joins the Energy Tech Podcast to explain how LoRaWAN and industrial IoT can bring that stranded data into your business.Recorded at the OpSite Energy Control Center in Canonsburg, Pennsylvania, Jeff Perry and Mike Flores sit down with WIKA’s Britt Antley and Pete Miramontes to explore practical wireless monitoring for oil and gas, refineries, water utilities, and other industrial operations.Drawing on experience across Chevron and the process industries, Britt and Pete explain how operators can connect existing assets, reduce manual data collection, and evaluate the cost of adding visibility to equipment that has historically operated offline.In this episode:• What LoRaWAN is and where it fits in industrial operations• Long-range wireless communication and battery-powered sensors• Connecting existing 4–20 mA instruments through LoRaWAN bridges• Sensors, gateways, and the LoRaWAN network server• Moving data into Ignition, AVEVA PI, and enterprise platforms• MQTT, Sparkplug, APIs, and legacy integration options• LoRaWAN versus WirelessHART for monitoring applications• The three C’s: cost, complexity, and cybersecurity• Battery life, reporting intervals, and event-driven transmissions• Opportunities to reduce unnecessary field trips and manual readings• Applications for tank levels, pressure, water metering, and leak detectionThe discussion also explains why these monitoring applications have different requirements from process control and safety systems.Whether you manage production operations, develop SCADA systems, or evaluate industrial technology investments, this conversation offers a practical starting point for connecting more of your existing equipment.This is Part 1 of our WIKA conversation. Part 2 will focus on the instruments and a hands-on demonstration.Guests: Britt Antley and Pete Miramontes, WIKAHosts: Jeff Perry and Mike FloresPresented by OpSite EnergyInsight Driven Remote Optimization.Learn more:WIKA: https://www.wika.comOpSite Energy: https://www.opsiteenergy.comSubscribe for more conversations about SCADA, industrial automation, operational technology, remote operations, and the future of energy.What instrument or manual reading would you connect first? Tell us in the comments.#LoRaWAN #IndustrialIoT #OilAndGas00:00 Opening outtakes with the WIKA team01:52 Welcome to the Energy Tech Podcast03:06 Meet Pete Miramontes and Britt Antley07:45 Unlocking stranded data from analog assets08:33 Reducing manual readings and field exposure13:21 LoRaWAN explained: Range, power, and battery life16:15 Architecture: Sensors, gateways, and network servers18:08 Connecting to Ignition, AVEVA PI, and WIKA’s platform19:49 Bringing 4–20 mA instruments onto LoRaWAN22:19 Monitoring, reporting intervals, and event triggers23:48 A closer look at WIKA’s bridge devices25:46 LoRaWAN versus WirelessHART29:47 The three C’s: Cost, complexity, and cybersecurity32:20 Deployment cost lessons from Chevron33:21 Simplifying installation and device onboarding35:43 MQTT, Sparkplug, APIs, and legacy integrations38:21 LoRaWAN cybersecurity and encryption40:59 Data centers, water metering, and leak detection42:11 Key takeaways and the Part 2 demo previewMusic: “Fast Life” by Uygar DuzgunCourtesy of Epidemic Soundhttps://www.epidemicsound.com

How much valuable operating data is still trapped on disconnected instruments, handwritten logs, and manual field rounds? WIKA joins the Energy Tech Podcast to explain how LoRaWAN and industrial IoT can bring that stranded data into your business.Recorded at the OpSite Energy Control Center in Canonsburg, Pennsylvania, Jeff Perry and Mike Flores sit down with WIKA’s Britt Antley and Pete Miramontes to explore practical wireless monitoring for oil and gas, refineries, water utilities, and other industrial operations.Drawing on experience across Chevron and the process industries, Britt and Pete explain how operators can connect existing assets, reduce manual data collection, and evaluate the cost of adding visibility to equipment that has historically operated offline.In this episode:• What LoRaWAN is and where it fits in industrial operations• Long-range wireless communication and battery-powered sensors• Connecting existing 4–20 mA instruments through LoRaWAN bridges• Sensors, gateways, and the LoRaWAN network server• Moving data into Ignition, AVEVA PI, and enterprise platforms• MQTT, Sparkplug, APIs, and legacy integration options• LoRaWAN versus WirelessHART for monitoring applications• The three C’s: cost, complexity, and cybersecurity• Battery life, reporting intervals, and event-driven transmissions• Opportunities to reduce unnecessary field trips and manual readings• Applications for tank levels, pressure, water metering, and leak detectionThe discussion also explains why these monitoring applications have different requirements from process control and safety systems.Whether you manage production operations, develop SCADA systems, or evaluate industrial technology investments, this conversation offers a practical starting point for connecting more of your existing equipment.This is Part 1 of our WIKA conversation. Part 2 will focus on the instruments and a hands-on demonstration.Guests: Britt Antley and Pete Miramontes, WIKAHosts: Jeff Perry and Mike FloresPresented by OpSite EnergyInsight Driven Remote Optimization.Learn more:WIKA: https://www.wika.comOpSite Energy: https://www.opsiteenergy.comSubscribe for more conversations about SCADA, industrial automation, operational technology, remote operations, and the future of energy.What instrument or manual reading would you connect first? Tell us in the comments.#LoRaWAN #IndustrialIoT #OilAndGas00:00 Opening outtakes with the WIKA team01:52 Welcome to the Energy Tech Podcast03:06 Meet Pete Miramontes and Britt Antley07:45 Unlocking stranded data from analog assets08:33 Reducing manual readings and field exposure13:21 LoRaWAN explained: Range, power, and battery life16:15 Architecture: Sensors, gateways, and network servers18:08 Connecting to Ignition, AVEVA PI, and WIKA’s platform19:49 Bringing 4–20 mA instruments onto LoRaWAN22:19 Monitoring, reporting intervals, and event triggers23:48 A closer look at WIKA’s bridge devices25:46 LoRaWAN versus WirelessHART29:47 The three C’s: Cost, complexity, and cybersecurity32:20 Deployment cost lessons from Chevron33:21 Simplifying installation and device onboarding35:43 MQTT, Sparkplug, APIs, and legacy integrations38:21 LoRaWAN cybersecurity and encryption40:59 Data centers, water metering, and leak detection42:11 Key takeaways and the Part 2 demo previewMusic: “Fast Life” by Uygar DuzgunCourtesy of Epidemic Soundhttps://www.epidemicsound.com

Can the people who know your equipment best build AI models—without writing code or sending operational data to the cloud?Recorded live at ICC 2026 in Sacramento, this Energy Tech Podcast episode features Bryan Thyken, Chief Revenue Officer at SORBA.ai. We explore how no-code industrial AI connects with Ignition to put machine learning and process optimization into the hands of engineers and operational subject matter experts.From plunger lift optimization to AI running at remote wellsites, Bryan explains SORBA’s approach to building and deploying models on-premises and at the edge. We also discuss SORBOT, its on-prem industrial AI assistant, and how equipment manuals, P&IDs, and operational data can help teams troubleshoot problems with better context.In this episode:• No-code AI model development and native Ignition integration• Connecting, cleaning, and contextualizing industrial data• Plunger lift optimization using familiar operating variables• Edge computing, industrial hardware, and deployment options• SORBOT, on-prem language models, and equipment documentation• Why human expertise remains essential when using AI• Managing by exception to reduce unnecessary field visits and driving exposureFor production teams, SCADA developers, controls engineers, and operations leaders, this conversation explores where industrial AI can deliver practical value—and why the people who understand the process remain central to making it work.Subscribe to the Energy Tech Podcast for more conversations with the people building the future of energy technology.Presented by OpSite Energy:[www.opsiteenergy.com](https://www.opsiteenergy.com)Learn more about SORBA.ai:[www.sorba.ai](https://www.sorba.ai)#IndustrialAI #Ignition #OilAndGas00:00 Welcome to ICC 2026 & meet Bryan Thyken01:29 No-code industrial AI & Ignition integration03:23 Data connectors, automated ETL & contextualization04:23 On-prem AI, cloud options & control of your data07:08 Plunger lift optimization & operator expertise08:24 Running AI models at the edge10:37 Industrial hardware, installation & trial access12:23 SORBA University & flexible deployment options15:56 Introducing SORBOT: An on-prem industrial AI assistant17:10 Using P&IDs, manuals & operational context20:31 AI reliability & why human expertise still matters21:51 Manage by exception: Fewer field trips & safer operations23:36 Closing thoughtsMusic: “Fast Life” by Uygar DuzgunCourtesy of Epidemic Sound[www.epidemicsound.com](https://www.epidemicsound.com)

What does it take to modernize oil and gas SCADA and deliver reliable data from the wellsite to the people who need it?Recorded live at ICC 2026 in Sacramento, this Energy Tech Podcast episode features Cody Pannell, Director of Software Development at AUTOSOL. We discuss migrating from CygNet to Ignition, collecting higher-frequency data with edge ACM, and the launch of Foundation MQ, AUTOSOL’s Sparkplug-aware MQTT broker.Cody explains how customer needs shape AUTOSOL’s development priorities, why reliability matters in remote oilfield operations, and how better data supports production optimization, machine learning, and agentic AI.In this episode:• Simplifying SCADA migrations following mergers and acquisitions• Moving devices, tags, and data structures into Ignition• Using edge data collection across different tiers of wells• Managing distributed applications and configurations at scale• Foundation MQ, Sparkplug B, clustering, and failover• The roadmap for Databricks, Parquet, Kafka, and cloud integrations• Unified Namespace, data contextualization, and lessons from manufacturingWhether you work in production operations, SCADA development, industrial automation, or data engineering, this conversation connects field-level challenges with the infrastructure needed for what comes next.Subscribe to the Energy Tech Podcast for more conversations with the people building the future of energy technology.Presented by OpSite Energy:https://www.opsiteenergy.comLearn more about AUTOSOL:https://autosoln.com#Ignition #MQTT #OilAndGas00:00 Welcome to ICC 2026 & meet Cody Pannell02:00 SCADA migration after mergers & acquisitions03:34 Moving from CygNet to Ignition: Tags & UDTs04:36 Edge ACM, well tiers & higher-frequency data07:14 Managing hundreds of edge deployments09:28 Customer-driven development, MLOps & AI10:41 Introducing Foundation MQ12:33 MQTT reliability, clustering & failover14:25 Deployment options & cloud integration roadmap17:20 ICC takeaways: Unified Namespace & AI-ready data18:53 Closing thoughtsMusic: “Fast Life” by Uygar DuzgunCourtesy of Epidemic Soundhttps://www.epidemicsound.com

MQTT co-inventor Arlen Nipper and Inductive Automation’s Thomas Burke join Mike Flores at ICC 2026 to discuss OPC UA, Sparkplug V4, and what it takes to get industrial data ready for AI.We’re kicking off our ICC 2026 interview series with two industry titans who have helped shape industrial connectivity. Recorded in Sacramento at the Ignition Community Conference, this conversation connects decades of experience with the next chapter of industrial automation.Arlen and Thomas explain how MQTT Sparkplug and OPC UA work together, why open standards matter, and how report by exception can reduce the data moving through your infrastructure.They also preview proposed Sparkplug V4 capabilities, including a more flexible topic namespace, JSON payload support, file publishing, and alarm data types. Along the way, they discuss Siemens joining the Sparkplug Working Group, the role of the Eclipse Foundation, and how feedback from end users shapes the standard.The big takeaway: industrial AI starts with a strong operational foundation. Arlen lays out three priorities—decouple devices from applications, establish a single source of truth, and demonstrate a superior OT solution first.If you work with Ignition SCADA, industrial IoT, automation, or OT data architecture, this episode belongs on your watch list.GUESTS• Arlen Nipper — Cirrus Link Solutions; co-inventor of MQTT• Thomas Burke — Technology Evangelist, Inductive AutomationHOSTMike Flores | Energy Tech PodcastCHAPTERS00:00 Welcome to ICC 2026: Arlen Nipper & Thomas Burke00:52 ICC takeaways: Ignition 2027, AI & data connectivity03:22 Thomas Burke’s mission at Inductive Automation05:26 Why OPC UA and Sparkplug work together06:05 Eclipse Milo & the open-source story06:51 Community feedback shaping Sparkplug V407:40 MQTT adoption & Siemens joining the working group09:21 Report by exception: bandwidth & data volume11:36 How customer demand drives vendor adoption12:39 Choosing protocols for the application13:59 Sparkplug V4 preview: a flexible topic namespace15:42 JSON payloads & the efficiency trade-off16:42 File publishing & alarm data types18:06 Building standards around real customer needs19:26 Applications across energy, pharma & water20:23 Industrial AI readiness: three foundational priorities22:01 Evolving standards & getting involved23:22 Closing remarks & more from ICCCONNECTOpSite Energy: https://www.opsiteenergy.comCirrus Link Solutions: https://cirrus-link.comInductive Automation: https://inductiveautomation.comEclipse Sparkplug: https://sparkplug.eclipse.orgSubscribe to the Energy Tech Podcast for more conversations from ICC 2026 and the people building the future of energy and industrial technology.What is the biggest obstacle to making your operational data ready for AI? Tell us in the comments.MUSIC“Fast Life” by Uygar DuzgunCourtesy of Epidemic Soundhttps://www.epidemicsound.com#MQTT #IndustrialAutomation #ICC2026