Abelara Ascent
Claim This Podcastby Abelara
Podcast Overview
<p><b>Abelara Ascent - </b>Long-form conversations about what it actually takes to modernize manufacturing.</p><p></p><p>Abelara Ascent is where architecture meets execution. Interviews with the people building real systems. Panel discussions that go deeper than the keynote. And solo episodes that break down the frameworks, decisions, and trade-offs behind industrial digital transformation.</p><p></p><p>Hosted by Zack Scriven, Director of Sales and Marketing at Abelara, with regular appearances from cofounders Dylan DuFresne, Chief Architect, and Glenn Gardner, President.</p><p></p><p>If you are a manufacturing leader, plant manager, controls engineer, or solutions architect trying to figure out where to start, what to prioritize, and who to trust, this is the show.</p><p></p><p>Published by Abelara. Event coverage powered by Abelara Live.</p>
Language
🇺🇲
Publishing Since
4/14/2026
2 verified contact emails on file for Abelara Ascent
Pitch yourself as a guest, propose sponsorships, or reach out directly to the host.
Recent Episodes
May 29, 2026
Simplify your enterprise architecture with Fuuz + Litmus
<p>Most manufacturers we talk to aren't asking for more software. They're asking for less.</p><p>Forty applications. A dozen integrations holding it all together.<br /></p><p>We cover:</p><ul><li>The supply chain ↔ factory floor disconnect, and why the language of customer POs almost never lines up with the work orders that actually get run</li><li>Why standard cost variances catch you at quarter close instead of when you can still do something about them</li><li>What a C-suite KPI dashboard really looks like under the hood — and how many hours of manual reconciliation hide behind every "give me the top three reasons we missed."</li><li>Craig Scott (CEO, Fuuz) on why this is an architecture problem, not a technology one — and what a shared operational model actually is</li><li>Dylan DuFresne on Fuuz as "IT software that understands OT," Litmus's 250+ device drivers, and modeling data as close to the edge as possible</li><li>Hussein (Litmus) on edge containerization, metadata at scale, and the UNS flexibility you need to actually move fast</li><li>The security question — role-based access control, encrypted data, the Fuuz Gateway through the DMZ, and what "MCP-ready" actually means for OT data</li><li>The brownfield reality — no rip-and-replace, just better connection into the SCADAs, historians, and OPC servers already in place</li><li>Glenn's mic drop — if you built top-down from the C-suite, you'd build Fuuz. If you built bottom-up from the factory floor, you'd build Litmus. They're the two most important anchor points in the whole industrial software ecosystem.</li></ul><p></p><p>CHAPTERS <br />00:00 Intro — the simplification thesis <br />00:51 Glenn's pain point #1 — supply chain ↔ factory floor disconnect <br />03:02 Pain point #2 — late awareness of cost variances <br />04:45 Context — why enterprises are cutting logos <br />05:48 Pain point #3 — C-suite KPIs vs. how they're really built <br />07:40 Cappy Hour reference (see the Prove It session) <br />09:22 The wish — one platform to solve all three <br />10:16 Craig Scott — it's an architecture problem, not a technology one <br />11:31 Excel is still the dominant MES <br />12:27 Shared operational model — red, blue, and purple data <br />14:09 Walker Reynolds, UNS, and an oil-and-gas project with 50+ software vendors <br />15:09 Death by a thousand cuts <br />16:08 Cost visibility isn't a reporting problem — it's a latency problem <br />17:36 Burying A-players in spreadsheets <br />18:45 Bridging C-suite KPIs to the plant floor <br />20:46 The operational model as DNA <br />22:35 Dylan — getting data from the edge, the right way <br />25:22 Litmus's 250+ drivers and edge data modeling <br />27:48 Kepware vs. Litmus — containerization at the enterprise <br />29:25 Edge modeling as the differentiator <br />30:48 PLC-level hygiene and OEM involvement <br />33:40 Patrick's question — security, RBAC, and the Fuuz Gateway <br />35:46 Litmus + Fuuz visualization — overlap and complement <br />38:36 Brownfield — Litmus and Fuuz alongside existing OPC, SCADA, historians <br />43:02 Why point-to-point solutions break at scale <br />44:38 Glenn's mic drop — top-down vs. bottom-up <br />46:15 The Lighthouse Partner — how to work with Abelara <br />47:19 Closing — we always start from a fresh sheet of paper</p><p></p><p>\WORK WITH ABELARA — LIGHTHOUSE PARTNER PROGRAM</p><p>Companies come to Abelara to architect agnostic solutions and skip past the trial-and-error. We're accepting a small number of Lighthouse Partners — a digital transformation workshop, architected solution, and hitting the ground running.</p><p></p>
May 29, 2026
Predictive Maintenance in Practice: From Prediction to Prevention
<p>The conversation begins with an introduction to predictive maintenance and the expert panel. Glenn Gardner discusses the evolution of predictive maintenance, highlighting the transformation of the industry over the past 20 years. He then delves into the concept of vibration as a predictive technology, providing a detailed explanation of its relevance and power. The discussion shifts to the role of CMMS in predictive maintenance, emphasizing the importance of both predictive technology and CMMS for an effective maintenance program. Mark Kingkade shares insights on vibration analysis in real systems, showcasing the practical application of vibration analysis in identifying machinery flaws. The conversation covered challenges in equipment repair, integration of machine data with maintenance workflows, data integration and predictive maintenance, and integrating advanced maintenance technologies. The challenges included difficulty in finding replacement parts, extended lead times for replacements, and the impact of supply chain challenges. The integration of machine data with maintenance workflows highlighted the direct integration of diagnostic insights with work orders, automated generation and assignment of work orders, and the importance of getting information to the right people. Data integration and predictive maintenance discussed the integration of machine data from various sources, usage-based predictive maintenance, and a phased approach to implementing predictive maintenance. Integrating advanced maintenance technologies addressed challenges in integrating different maintenance technologies, the importance of keeping analysis in purpose-built tools, and sending scalar data to centralized systems.</p><p></p><p>Takeaways</p><ul><li>Predictive maintenance has evolved significantly over the past 20 years, with a notable reduction in cost and time for implementing a world-class program.</li><li>Vibration analysis is a powerful technology for identifying machinery flaws, and when combined with CMMS, it forms an effective predictive maintenance program. Challenges in equipment repair due to supply chain issues</li><li>Importance of direct integration of diagnostic insights with work orders</li></ul><p></p><p>Chapters</p><ul><li>00:00 Introduction to Predictive Maintenance</li><li>11:46 CMMS and Predictive Maintenance</li><li>32:29 Challenges in Equipment Repair</li><li>47:24 Data Integration and Predictive Maintenance</li><li>58:02 Integrating Advanced Maintenance Technologies</li></ul>
May 29, 2026
Why AI Fails in the Factory? - AI Panel at MX.0 Southeast 2026
<p>Why does AI fail in the factory? Three reasons: unstructured data, fragmented data, and no governance.<br /><br />At MX.0 Southeast in Greenville, SC, Zack Scriven sits down with Matt from HiveMQ and Remus from Concept Reply for a field panel on why most manufacturers aren't ready for AI — and what to build first. They cover what a Unified Namespace actually is (two definitions), where it's being misused, the Excel-to-MQTT trick, AI governance as a critical skill, and how to get started when you can't even get budget approval for a consultant.<br /><br />00:00 — Introductions<br />00:37 — Why AI fails: three root causes<br />02:16 — HiveMQ as the data backbone<br />03:01 — No data equals no AI<br />03:21 — The Excel problem<br />04:24 — What is a Unified Namespace?<br />07:40 — Where UNS is misused<br />09:03 — Don't build a UNS without a problem statement<br />10:35 — AI as accelerant for building foundations<br />11:52 — AI governance as a future skill<br />12:35 — Overcoming internal resistance<br />14:57 — People, process, technology<br />16:34 — Start with what you control<br /><br />Abelara: <a rel="noopener noreferrer nofollow" href="https://www.abelara.com" target="_blank">https://www.abelara.com</a><br /><br />#Abelara #AbelaraAscent #AI #UNS #MQTT #HiveMQ #ManufacturingTransformation #MXO<br /><br />➡️ Learn more: <a rel="noopener noreferrer nofollow" href="https://abelara.com/" target="_blank">https://abelara.com/</a><br />➡️ Follow us: <a rel="noopener noreferrer nofollow" href="https://www.linkedin.com/company/abelara/" target="_blank">https://www.linkedin.com/company/abelara/</a><br /><br />Subscribe for insights on digital manufacturing, leadership, and system architecture.</p>
20 total episodes available
Deep-dive analytics for Abelara Ascent
Frequently asked questions
Have a different question and can't find the answer you're looking for? Reach out to our support team by sending us an email and we'll get back to you as soon as we can.
- What is Abelara Ascent?
<p><b>Abelara Ascent - </b>Long-form conversations about what it actually takes to modernize manufacturing.</p><p></p><p>Abelara Ascent is where architecture meets execution. Interviews with the people building real systems. Panel discussions that go deeper than the keynote. And solo episodes that break down the frameworks, decisions, and trade-offs behind industrial digital transformation.</p><p></p><p>Hosted by Zack Scriven, Director of Sales and Marketing at Abelara, with regular appearances from cofounders Dylan DuFresne, Chief Architect, and Glenn Gardner, President.</p><p></p><p>If you are a manufacturing leader, plant manager, controls engineer, or solutions architect trying to figure out where to start, what to prioritize, and who to trust, this is the show.</p><p></p><p>Published by Abelara. Event coverage powered by Abelara Live.</p> - How often does this podcast release new episodes?
This podcast updates daily.
- Where can I listen to this podcast?
This podcast is available on 4 platforms including Apple Podcasts, Spotify, and more. You can also use the RSS feed directly.
- Does this podcast accept guests?
Yes, this podcast regularly features guests.
Legal Disclaimer
Pod Engine is not affiliated with, endorsed by, or officially connected with any of the podcasts displayed on this platform. We operate independently as a podcast discovery and analytics service.
All podcast artwork, thumbnails, and content displayed on this page are the property of their respective owners and are protected by applicable copyright laws. This includes, but is not limited to, podcast cover art, episode artwork, show descriptions, episode titles, transcripts, audio snippets, and any other content originating from the podcast creators or their licensors.
We display this content under fair use principles and/or implied license for the purpose of podcast discovery, information, and commentary. We make no claim of ownership over any podcast content, artwork, or related materials shown on this platform. All trademarks, service marks, and trade names are the property of their respective owners.
While we strive to ensure all content usage is properly authorized, if you are a rights holder and believe your content is being used inappropriately or without proper authorization, please contact us immediately at hey@podengine.ai for prompt review and appropriate action, which may include content removal or proper attribution.
By accessing and using this platform, you acknowledge and agree to respect all applicable copyright laws and intellectual property rights of content owners. Any unauthorized reproduction, distribution, or commercial use of the content displayed on this platform is strictly prohibited.