Peter Billante

Good idea. Now make it count. The Advanced Capability Investment Fund can be a genuine step forward, but only if it drives fast outcomes, not slow process. Clear priorities, simple pathways for industry, and real accountability for what gets fielded and when. My latest for The Strategist: https://lnkd.in/gC4Y3ftj

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Exciting development in the IoT and industrial connectivity space! ⚙️🤖 TPG’s acquisition of PTC’s Kepware and ThingWorx technologies marks a major step in advancing connected, data-driven industrial ecosystems. This move will likely accelerate innovation in automation, smart manufacturing, and digital transformation — areas that continue to reshape the future of industry. 🌐💡 Looking forward to seeing how this partnership drives the next wave of industrial intelligence and connectivity! #IoT #DigitalTransformation #IndustrialConnectivity #Innovation #SmartManufacturing Philip Cognetta Jr. Julianna Cognetta, CPACC

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QAD|Redzone's VP of Solutions Jonathan Lane shared this post from Ford Motor Company's Bryce Currie highlighting a 60 MINUTES's interview of Bill Ford. The video highlights how an engaged shopfloor impacts more than just safety, quality, and productivity. It impacts manufacturing innovation in a surprising and material way. The video is short and worth a watch! In my experience it comes from two places: 1️⃣ When frontline teams are empowered and respected, they contribute directly to better processes, tooling, products, and even new manufacturing technologies. 2️⃣ When leaders create that environment, plants run more smoothly and the entire organization can stop firefighting and focus on innovation.

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Calling All Innovators to ASME (The American Society of Mechanical Engineers) IMECE 2026! The manufacturing and industrial sectors stand at an inflection point. AI adoption is accelerating, but critical questions remain unanswered: How do we scale AI deployment responsibly? How do we bridge the interoperability gap? How do we build the workforce this transformation demands? As track co-chair, I am excited to invite you to Track 5: Advancements in Industry at IMECE 2026, where these questions are answered and where you should share your solutions. For manufacturers & industry leaders: Your real-world deployment challenges matter. We're actively seeking insights on barriers to AI implementation, reindustrialization strategies, and industry-academia partnerships that actually work. For academic researchers: This track bridges the gap between theory and practice. Partner with industry leaders. Test your frameworks in real environments. Make your research count.  ⏰ Mark your calendars: 📝 Paper abstracts: March 10 🎤 Presentation-only submissions: Mid-June 📍 November 8-12, Vancouver Convention Centre, Canada Submit now: https://lnkd.in/dTJr9Dax

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PTC’s new A&D Startup Program is designed to help startups move fast and build with confidence in highly regulated environments. It gives early and growth-stage companies free access to Codebeamer+, Creo+, Onshape, and a startup package for Arena. Bringing a new product to life in the A&D space means managing complex requirements, maintaining traceability, and meeting rigorous compliance standards from day one. Codebeamer+ provides the structure and scalability to support that, with cloud-based ALM that adapts as teams grow. Hear more from Alex D., our National Security Lead, in the video below, and read the press release for full details: http://ptc.co/jRGC50WqvkS

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5 Comments

Agentic AI is not for automation. That's the core message Somil Gupta and I explore in our latest piece for ManufacturingTomorrow.com. Traditional automation doesn't scale. Every new process needs custom workflows, rigid rules, and constant maintenance. When operations change, automation breaks. AI agents are fundamentally different. Think of them as digital workers, not automation tools. In industrial operations, there's a persistent gap between strategic vision and ground-level execution. Plant managers spend enormous effort translating board strategies into actionable tasks and managing exceptions that fall outside standard workflows. AI agents bridge this gap by understanding context, making autonomous decisions, coordinating multi-step workflows, and learning from feedback. They operate in that critical middle layer where human judgment has traditionally been irreplaceable. When you design around roles instead of workflows, the questions change: - What responsibilities should agents own? -How do they collaborate with humans and each other? -What governance keeps them aligned with business goals? At Kovant, our platform creates autonomous agents as digital employees for supply chain operations, with Mission Control providing the human oversight that keeps them effective and accountable. Companies that embrace agents as workforce members, not just efficiency tools, will fundamentally outperform those that don't. Read the full article: https://lnkd.in/dNsQCU2R Would love to hear from operations leaders on how you're thinking about this shift. #AI #kovant #agents #manufacturing

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Seth Levine nailed it! The concentration problem isn't just a GP pain point... it's choking innovation. When capital pools around the same 20 funds, emerging managers and founders get shut out. Love that he's using his platform to call this out. Foundry has backed 50+ emerging managers. That's the diversification the ecosystem needs. This is exactly why Carta exists — making capital allocation visible and accessible. Capital Evolution hits at exactly the right moment. Thanks for having us Daniel Dart. Team Carta loves the community of FUTURE TITANS you have built 🚀

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The framework I use when enterprise clients ask about AI coding tools. The market is moving fast >> Cursor hit $29.3B valuation (November 2025), and the bidding wars over Windsurf ($3B bids, deal ultimately fragmented) signal where capital sees value. Most vendor conversations miss the enterprise lens. Here's what I evaluate: 1. AUDIT TRAIL → Does every agent action create artifacts? (logs, screenshots, step histories) → Can you explain what the AI did when compliance asks? 2. GOVERNANCE GAP → Shadow AI exists because developers outpace policy → Tool choice won't fix this—visibility will 3. SECURITY POSTURE → Air-gapped deployment available? → SOC 2 Type 2 certified? → Many new tools fail both 4. LOCK-IN RISK → Who owns the model outputs? → What's the exit path when you change vendors? The tools will keep evolving. Your evaluation framework shouldn't. Which element does your organization struggle with most?

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