Industry Talks by ARC Advisory Group
Digital twins have long been seen as a key technology for industrial transformation—but many projects struggle to move beyond the initial hype. In this episode, Alexey and Luciano explore why digital twin adoption slowed despite strong interest across industries such as oil and gas. Industry surveys show that the biggest barriers are the high effort required to implement digital twins and the ongoing challenge of maintaining them over time. They discuss how technologies like reality capture and AI-powered equipment recognition can accelerate the creation of digital models—especially in brownfield plants where documentation is often incomplete. The conversationalso explores knowledge graphs and the growing importance of open standards and interoperable data for scalable digital twin architectures. Key themes in this episode: * Why digital twin market growth slowed despite strong interest * Implementation and long-term maintenance challenges * Reality capture and AI for faster digital twin creation * Knowledge graphs for understanding complex industrial systems * The role of open standards and data interoperability The key question is no longer whether digital twins matter—but how organizations can build them in a way that is scalable, open and sustainable. Want to get in touch? We welcome your topic suggestions, ideas, feedback and criticism. Feel free to leave us a comment on Spotify or write to us at: info@arcweb-europe.com [info@arcweb-europe.com].You can also reach us on LinkedIn (@arcweb-europe [https://de.linkedin.com/showcase/arcweb-europe/]) orYouTube (@ARCadvisory). Furthermore, you can subscribe to ARCwire Industry Newsletter at: https://www.arcweb.com/about/newsletters [https://www.arcweb.com/about/newsletters] Further readings: We’ve linked relevant ARC reports and resources in the show notes or visit: www.arcweb.com [http://www.arcweb.com] · https://www.arcweb-europe.com/ [https://www.arcweb-europe.com/] · ARC Automation Survey [https://de.surveymonkey.com/r/QBCK2LD] · https://www.arcweb.com/blog/ge-vernova-finalizes-600-million-sale-proficy-software-business-tpg [https://www.arcweb.com/blog/ge-vernova-finalizes-600-million-sale-proficy-software-business-tpg] · https://www.arcweb.com/blog/dual-scenario-prediction-us-iran-conflict-impact-differences-global-manufacturing-between-7 [https://www.arcweb.com/blog/dual-scenario-prediction-us-iran-conflict-impact-differences-global-manufacturing-between-7] · https://www.arcweb.com/blog/octave [https://www.arcweb.com/blog/octave] · https://www.woodmac.com/reports/upstream-oil-and-gas-global-oil-cost-curves-and-pre-fid-breakevens-updated-h2-2018-211878/ [https://www.woodmac.com/reports/upstream-oil-and-gas-global-oil-cost-curves-and-pre-fid-breakevens-updated-h2-2018-211878/] Enjoyed the episode? Subscribe, leave a review and share it with your network! Furthermore, you can subscribe to ARCwire Industry Newsletter at: https://www.arcweb.com/about/newsletters [https://www.arcweb.com/about/newsletters] Chapters: (00:00) Welcome to Industry Talks (00:45) Top Articles and Trends (01:29) GE Vernova Prophecy Update (02:20) Prophecy Portfolio and Outlook (03:19) Iran War Market Impacts (05:42) Resilience Electrification and Shipping (07:26) Hexagon Octave Spinoff (08:21) Event Roundup Edge AI and 5G (12:10) Data Centers as Next Growth (15:46) Sentiment Index and Next Segments (16:27) Digital Twins Deep Dive and Closing Hosts: David Humphrey, Florian Güldner Guests: Alexey Grechko, Luciano Narcisi, Michel Teughels Produced by: ikone productions More episodes at: · Spotify (https://open.spotify.com/show/37B9kNLc6MyH3oWQNN0wVL?si=a598076ac6a14b3e [https://open.spotify.com/show/37B9kNLc6MyH3oWQNN0wVL?si=a598076ac6a14b3e]) · Apple (https://podcasts.apple.com/tt/podcast/industry-talks-by-arc-advisory-group/id1848323518 [https://podcasts.apple.com/tt/podcast/industry-talks-by-arc-advisory-group/id1848323518]) · Youtube https://youtube.com/playlist?list=PLRvAuS1b455RfGRBtnQI_-ePTItfIfi3F&si=FMMlpaZiZrp1rssE [https://youtube.com/playlist?list=PLRvAuS1b455RfGRBtnQI_-ePTItfIfi3F&si=FMMlpaZiZrp1rssE])
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