Turns out we didn’t just have a good quarter… We had the sort of quarter that makes you double-take on whether the numbers are real. But what matters most to me is the scale of the impact behind numbers like this. Across EMEA, I am seeing customers use AI PCs to work smarter, frontline teams supported by more secure and sustainable devices, partners leaning into services to deliver better outcomes and enterprises finally moving from AI experiments to real transformation. That is what this momentum represents: beyond growth, we’re also making real progress. Hybrid AI is no longer just something we talk about in presentations. It’s what our teams are delivering every day across devices, infrastructure and services so organisations can move faster and with confidence. And we’re only getting started. As we head towards 2026, I could not be more proud of the people behind this. The next steps are simple now: - Make AI practical for customers. - Keep listening. - Keep improving. - Keep delivering technology that genuinely helps. A record quarter is nice. A clear direction is better. Right now, we are lucky to have both. #WeAreLenovo #HybridAI #AIInnovation
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Cisco Launches Unified Edge Platform to Power Agentic AI at the Edge 📌 Cisco’s new Unified Edge Platform brings enterprise-grade AI infrastructure to the edge, empowering agentic AI with low-latency, hybrid-cloud-ready performance. Designed to simplify deployment across industries like manufacturing and logistics, it turns distributed locations into intelligent, self-managing AI hubs — redefining edge computing’s potential. 🔗 Read more: https://lnkd.in/dmM_RiRi #Cisco #EdgeAi #UnifiedEdgePlatform #AgenticAi #HybridCloud
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The Artificial Intelligence of Things (AIoT) Market is set to reach $3.04 trillion by 2035, growing at 30.5% CAGR. 🔑For executives, this signals: • Risk Diversification: Leverage AIoT across multiple verticals • Regulatory Readiness: Prepare for evolving data privacy standards • Business Continuity: Build resilient connected operations • ROI Focus: Prioritize high-impact automation investments 🌍 Regional Leaders: North America (largest revenue share) & Asia Pacific (fastest growth). 🏢Key players: Intel Corporation, NVIDIA, Qualcomm, Microsoft, Google 📊Takeaway: AIoT convergence demands immediate strategic resource allocation. 👉 Full insights: Artificial Intelligence of Things (AIoT) Market Size & Forecasts 2026-2035 https://lnkd.in/gzXQt2qk #Boardroom #BusinessContinuity #MarketResearch #AIoT
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Thrilled to share my latest byline with Illuminaire.io exploring the era of AI ecosystem innovation, and why partnerships are vital in defining the next steps for AI infrastructure. As demand for AI quickly evolves, no single organisation can meet these challenges on their own, which is why collaboration is critical. From hyperscalers to OEM's and system integrators, the strength of our ecosystem will determine how we can scale AI in Europe to meet its ambitions. Schneider Electric's recent collaborations with partners such as NVIDIA and ETAP Software are helping change the way we think about deploying, building and designing AI-ready infrastructure. This ecosystem momentum is what we need to showcase Europe's AI potential. Read more on my insights here and thank you to Mark Venables for sharing my thoughts - https://lnkd.in/emkmeBuS #AIEcosystem #NewArticle #DigitalInfrastructure #Europe #Partnerships
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6G: The First Network Designed for Intelligence, Not Just Connectivity Most discussions about 6G still focus on speed and spectrum. But the real shift is far more strategic: 6G will be the first generation built around AI from the start. This changes how organizations will operate, automate, and compete. 1. From Data Transmission to Meaning Transmission 6G introduces semantic communication — networks that understand the intent behind the data. This enables lower bandwidth requirements, faster decision cycles, and more reliable automation across autonomous systems, robotics, and industrial operations. 2. The Environment Becomes Part of the Network Reconfigurable Intelligent Surfaces (RIS) turn physical spaces into signal‑shaping assets. This unlocks consistent coverage, energy‑efficient design, and practical performance at higher frequencies. 3. THz Spectrum Powered by AI THz bands offer massive capacity but require intelligence to manage. AI‑driven propagation models will predict blockage, mobility, and material interactions, allowing networks to self‑optimize in real time. 4. Real‑Time Digital Twins 6G networks will run alongside live digital twins that simulate performance continuously. This enables predictive maintenance, zero‑touch operations, and rapid testing of new services. 5. AI‑Native O‑RAN Open RAN becomes the execution layer for intelligence. Expect distributed AI at the edge, automated optimization, and faster innovation cycles as telecom becomes software‑defined and intelligence‑driven. The Executive Takeaway 6G is not a faster network. It is a smarter network — one that understands, predicts, and adapts. Organizations preparing today are not upgrading infrastructure. They are upgrading their thinking. --- #6GLeadership #AINativeNetworking #DigitalTransformation #SemanticCommunication #THzPropagation #OpenRAN #NetworkIntelligence #ExecutiveStrategy #WirelessInnovation #FutureNetworks
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🔁 The next phase of enterprise AI isn’t about smarter assistants — it’s about AI agents embedded into real workflows, with real accountability and ROI. Strong perspective from Linda Yao on where enterprise value is really being created. #EnterpriseAI #ProductLeadership
In 2026, there’s a good chance you’ll be sharing your cubicle with an AI agent! We may have to get used to that. I break this down in my recent The Wall Street Journal article: https://lnv.gy/4aRxg7z 🚨 Spoiler alert: The shift is more transformational than expected. These agents aren’t just here to watch you work or lurk in the background like Mr. Clippy. They’re here to work with you, for you, and give you a competitive edge! 🤹♀️ The multiplier effect of Agentic AI is real. We’re moving far beyond copilots and chatbots into systems that can analyze, decide, and act across multiple workflows. This amplifies your actions in ways traditional automation never could. IDC predicts global productivity will double over the next year because of this shift. I see this come to life every day across Lenovo's Hybrid AI platforms, where #AI #agents are already reallocating resources, completing administrative tasks, and securing IT operations across cloud, edge, devices, and network. Whether it is... 🪷 Lenovo Care of One™ providing 24/7 personalized tech support, or 🚚 Lenovo iChain shipping out a PC every second, or 🏭 our AI Gigafactory serving up industry use cases at massive scale... The outcomes are real, happening today. If you’re not deploying agentic AI yet, this is the year to start! #AgenticAI is your newest coworker... and honestly, working with an AI agent sounds much more productive and a lot less dramatic than some of mine. 🙊 #WeAreLenovo
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The Quiet Revolution: Why 2026 is the Year Telecom Moves from "AI-Enabled" to "AI-Native" As we move through the final stretch of 2025, the market pulse for the telecommunications sector has shifted. We are transitioning from "experimental GenAI" to a period of Industrialized Inference. Based on recent strategic movements and technical research, here is the trajectory for the next 24 months. 1️⃣ Infrastructure Convergence: The AI-RAN Benchmark The boundary between the cell site and the data center is dissolving. • The Development: 2026 marks the start of high-scale AI-RAN trials, with T-Mobile US as a primary validation partner. • Strategic Insight: The $1B NVIDIA-Nokia alliance is the blueprint. By migrating baseband processing to the Aerial RAN Computer Pro, operators are turning base stations into GPU-accelerated nodes. Omdia projects this market could surpass $200B by 2030. 2️⃣ Operational Evolution: Level 4 Autonomy • The Benchmark: GSMA Intelligence reports that 85% of operators prioritize OPEX efficiency via AI. • ROI Target: TM Forum’s Level 4 Moonshot aims for a 30% reduction in operational costs through "zero-touch" self-healing systems, significantly reducing Mean Time to Repair (MTTR). 3️⃣ The "Inference Dividend" & Sovereignty • The Shift: Deloitte projects that inference will account for 2/3 of all AI compute by 2026. Telcos are uniquely positioned to host this "localized brain" at the edge. • The Revenue Play: The global AI-in-Telecom market is projected to reach $3.76B in 2026, as operators build domestic Sovereign AI vaults to meet tightening data residency demands. Summary Outlook The move toward 2026 is defined by Computational Convergence. The network is evolving into a distributed, thinking entity. For leadership, the focus is shifting from "Managing Throughput" to "Orchestrating Autonomy." #AIRAN #EdgeAI #AutonomousNetworks #SovereignAI #TechCo #IndustryReport #NVIDIA #Nokia #GSMA #TMForum
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🌐 Enterprise networks are evolving. Today, it’s no longer enough for a network to connect devices — it must adapt, learn, and provide insights that help IT teams make smarter decisions. AI-driven solutions like Juniper’s Mist Platform enable organizations to improve performance, prevent issues, and enhance user experiences. 💡 Learn how AI is shaping the future of enterprise networks: https://lnkd.in/gGTv9xct #MistAI #SmartNetworks #AITechnology #DigitalWorkplace #NetworkInnovation
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Midmarket companies are being asked to grow fast while managing aging infrastructure, which is no easy task. 📈⚙️ That’s why pre-validated solutions, flexible consumption models, and practical guidance matter. They help IT teams innovate without adding complexity. 🤖✨ Lenovo Infrastructure Solutions Group’s new playbook lays out a clear, accessible path to modernization and AI readiness. If you’re exploring either, it’s a must-read. 🔗 Read here: http://spr.ly/6041Cr3Z1 #WeAreLenovo
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Are mobile networks ready for GenAI and how it will affect connectivity? With innovation in the world of AI giving rise to multimodal, intelligent interfaces, many of these emerging use cases all require high-performance connectivity. One of the feature articles, in the latest Ericsson Mobility Report, discusses the expected impact of GenAI on mobile networks, particularly the varied characteristics of various AI applications. Here are some key takeaways: 🤖 GenAI will be integrated into daily life through device hardware, operating systems and applications, yet only high-adoption, high-date-rate use cases are expected to impact overall traffic growth. 📈 Careful network planning will be required to accommodate increasing uplink requirements. 📲 Personalized AI agents will require differentiated connectivity to enable high-quality user experiences. It's clear that GenAI will shift mobile traffic patterns, yet not all traffic is created equal. How do you think the industry should prepare networks for the impact of GenAI? 🔗 https://lnkd.in/eSdEbYR6 #MobilityReport #5G #GenAI #TeamEricsson
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Midmarket companies are being asked to grow fast while managing aging infrastructure, which is no easy task. 📈⚙️ That’s why pre-validated solutions, flexible consumption models, and practical guidance matter. They help IT teams innovate without adding complexity. 🤖✨ Lenovo Infrastructure Solutions Group’s new playbook lays out a clear, accessible path to modernization and AI readiness. If you’re exploring either, it’s a must-read. 🔗 Read here: http://spr.ly/6043COPKz #WeAreLenovo
Fantastic news Greg - congrats to the entire team for making this happen.