『Lights Out: Why Fully Automated Factories Are Closer Than You Think』のカバーアート

Lights Out: Why Fully Automated Factories Are Closer Than You Think

Lights Out: Why Fully Automated Factories Are Closer Than You Think

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Product Management Director at Intel Ben Tan joins host Chris Howard to explore why some of the most important AI innovation isn’t happening in the cloud, but at the edge, on factory floors, in warehouses, and inside the machines that need to make decisions instantly. Ben unpacks the “pendulum effect” between cloud and edge computing, and why data sovereignty, tokenomics, and latency are now driving more workloads back to the edge. He walks through what a true “lights-out” factory looks like, and why early pilots suggest fully automated, human-free production is closer than most people think, even as the most common mistakes organizations make when launching AI initiatives continue to slow adoption. Ben explains why the industry is shifting from massive frontier models toward smaller, domain-specific “big brain to small brain” architectures built for performance-per-watt. The conversation also covers unexpected industrial use cases for generative AI, from PLC code generation to synthetic defect imagery, a first look at Intel’s upcoming SuperClaw initiative, and why the organizations that succeed with AI are the ones that define success in business terms, not technology terms. 🎧 Episode Highlights [00:02:32]: Why edge AI is having a moment — sovereignty, tokenomics, and latency [00:05:08]: What a “lights-out” factory actually looks like, and how close early pilots already are [00:08:33]: The biggest mistakes organizations make when starting an AI initiative [00:16:00]: Reframing performance vs. cost — and why “good enough” often wins [00:19:18]: The shift to smaller, domain-specific models and performance-per-watt [00:26:51]: Unexpected generative AI use cases on the factory floor, from PLC code to synthetic defects [00:35:15]: A first look at SuperClaw, Intel’s hybrid edge-to-cloud token strategy [00:38:04]: Why defining success for the business — not the technology — is what most people miss 🔑 Key Takeaways: - Edge AI is being pulled forward by more than latency. Data sovereignty concerns and the economics of cloud tokens (“tokenomics”) are now just as influential as real-time performance needs in pushing workloads back to the edge, especially in manufacturing and industrial settings. - The biggest AI failures are organizational, not technical. Top-down rollouts that leave factory-floor workers out of the loop, ungoverned pilot sprawl across departments, and unresolved friction between IT and OT security policies are far more likely to sink an AI initiative than the technology itself. - Bigger isn’t always better. The industry is shifting from massive, general-purpose frontier models toward smaller, domain-specific models — Ben calls it “big brain to small brain” — that deliver higher performance-per-watt and only need to know the one job they’re built to do. 👤 Guest Spotlight: Ben Tan Ben Tan is a Product and Business Development leader with a track record of launching new consumer and enterprise products and services in a world of choices, identifying growth markets, and forging alliances that drive broad adoption. He currently serves as Product Management Director, Industrial and Supply Chain AI at Intel, where he leads a product-led growth strategy through the application of easy-to-use, deployable AI/ML solutions, addressing the needs of both end users and developers. Across his 8+ years at Intel, Ben has also served as Market Development Director for Health and Life Sciences, developing new partnerships and go-to-market routes in healthcare for the rapidly growing remote patient monitoring segment. He builds teams around the belief that measurable small wins strengthen the fabric of development toward the long-term goal, and that success depends on crafting win-win strategies for internal and external partners, an approach that has helped him grow beachheads into sustaining, double-digit-growth businesses, always starting with a deep understanding of user experience and the key value exchange points. Stay Connected: - https://www.linkedin.com/in/ben-tan-3907 - https://www.linkedin.com/company/intel-corporation/home - https://www.linkedin.com/in/techris Stay inspired and ahead of the curve by subscribing to Forging the Future. Share your thoughts on this episode with the hashtag #ForgingTheFuture or tag us online!
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