Jeff KAGAN Industry Analyst, Strategic Advisor

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Jeff KAGAN Industry Analyst, Strategic Advisor

Jeff KAGAN Industry Analyst, Strategic Advisor

@jeffkagan

Principal Industry Analyst, Strategic Advisor, Tech Influencer and Columnist in AI, 5G, 6G, Wireless, Telecom, Tech. Host of "Jeff Kagan Interviews"

Atlanta Katılım Ekim 2008
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Jeff KAGAN Industry Analyst, Strategic Advisor
Once again, THANK YOU to NodeXL for ranking Jeff Kagan number ONE thought leader, influencer at CES 2025. And congratulations to everyone on this impressive list! @jeffkagan #jeffkagan #ces2025 #mwc25 #wireless #AI #quantum #IoT #telecom #telecommunications #broadband and so much more!
Françoise Morvan@FmFrancoise

#CES2025 via NodeXL bit.ly/4fZx5X3 @jeffkagan @atari @myarcaderetro @ces @hisenseintl @evankirstel @jimharris @fmfrancoise @haroldsinnott @betamoroney Top hashtags: #ces2025 #ai #generativeai #artificialintelligence #data #atari #gamestationgo #cybersecurity /

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Ronald van Loon
Ronald van Loon@Ronald_vanLoon·
Inference is becoming one of the biggest infrastructure challenges in the age of AgenticAI. That's a key takeaway from my conversation with Chris Marriott, VP Enterprise Platform at @nvidia, live from @HPE Discover. As HPE and NVIDIA collaborate to help enterprises scale AI, it's clear that agentic AI requires a new infrastructure blueprint. Here's the breakdown… #HPEPartner #AgenticAI
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Ronald van Loon
Ronald van Loon@Ronald_vanLoon·
Most AI projects in agriculture focus on the AI itself. But resilient connectivity is what helps intelligent operations function across remote environments. I explored how SuperBroadband integrates T-Mobile’s 5G network and Starlink connectivity to support modern AgriTech. @TMobileBusiness Partner #SuperBroadband
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Ronald van Loon
Ronald van Loon@Ronald_vanLoon·
Fewer than 25% of enterprise AI agents ever reach production. I explored with @sema4ai how the more complex the use case, the lower that number drops. This isn't an AI problem. It's an architecture problem. And most teams are still building the wrong way. Here's the breakdown… #Sema4AIPartner
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Jeff KAGAN Industry Analyst, Strategic Advisor retweetledi
Elitsa Krumova
Elitsa Krumova@Eli_Krumova·
📌 Reflecting on the announcements from KAYTUS at ISC 2026, one broader industry transition is becoming impossible to ignore: the future of AI infrastructure will depend not only on compute capabilities, but on how intelligently the entire ecosystem is designed, deployed and operated. As AI Factories continue to evolve, traditional data centre construction models are increasingly challenged by the speed of AI innovation and deployment demand. The industry needs infrastructure approaches that combine accelerated delivery with engineering discipline, scalability and long-term operational resilience. ⚙️ @KAYTUS_' modular, factory-prefabricated liquid-cooled AI data centre architecture represents a practical response to this challenge. By integrating standardized IT, power and cooling modules into pre-validated systems that can scale from megawatts to gigawatt-class deployments, this approach highlights how integrated infrastructure design can reshape the way AI capacity is delivered. 💡 Equally important is the evolution of intelligent operations. As AI environments become more complex and rack densities continue to increase, unified visibility across GPU telemetry, rack-level health and data centre operations is moving from an advantage to a necessity. Proactive infrastructure intelligence will be fundamental to maintaining performance, efficiency and availability at scale. This reflects a broader shift in the AI infrastructure landscape. The conversation is moving beyond simply adding more compute capacity towards building complete, intelligent ecosystems capable of supporting the next generation of AI innovation. For organisations navigating energy efficiency, operational complexity and AI sovereignty requirements, the ability to deploy rapidly while maintaining full-stack visibility and control will become increasingly strategic. 🔹 The next era of AI infrastructure will be defined by engineering excellence, operational intelligence and sustainable scalability. How will modular infrastructure and intelligent operations reshape large-scale AI deployments over the next 18–24 months? #AI #AIInfrastructure #EnterpriseAI #DataCenters #HPC #AIFactories #FutureTech #EmergingTech
KAYTUS@KAYTUS_

x.com/i/article/2071…

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Evan Kirstel #B2B #TechFluencer
Sat down with Jason Schroedl, who runs enterprise platforms at NVIDIA, at HPE Discover. The term "AI factory" gets thrown around a lot. A year ago it was a slide title. Now it's a product you can actually buy. HPE and NVIDIA built the full stack together, from Vera Rubin and the new Vera CPU to Spectrum-X networking and RTX Pro GPUs, and packaged it into turnkey systems like HPE Private Cloud AI. The real story isn't the hardware. It's that a company can be running in weeks instead of spending a year building an AI platform from nothing. The proof is who's already using it. St. Jude, Siemens Energy, Roche, Vultr, even the Dallas Cowboys and the Ryder Cup. Different industries, same shift from demo to production. Jason's take: we're still in the early innings for enterprise AI. But with confidential computing keeping data and models protected on prem, and agent tools like NeMo built in, the gap between a good demo and something in production is closing fast. @nvidia @HPE #HPEpartner #HPEdiscover Full conversation below.
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Ronald van Loon
Ronald van Loon@Ronald_vanLoon·
Most companies have scaled cloud infrastructure and AI initiatives. But many organizations are now reevaluating another important layer of modern operations: connectivity resilience. As connected systems become more distributed, resilient network infrastructure is becoming increasingly important for operational visibility and workflow coordination. I explored this at the @TMobileBusiness SuperBroadband launch. A thread. T-Mobile for Business Partner
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Ronald van Loon
Ronald van Loon@Ronald_vanLoon·
Most enterprises are still in AI experimentation mode. But Agentic AI is changing what's possible. The infrastructure question is no longer just, "Can we build a model?" It's, "How do we run AI agents at the scale of our business?" At @HPE Discover, I explored how HPE and @NVIDIA are combining enterprise infrastructure with NVIDIA's accelerated compute to help organizations prepare for this next phase. #HPEPartner #AgenticAI
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