☁️🎙️ This week’s reality: What happens when the battlefield becomes digital and empathy becomes a strategic advantage? Dave, Esmee, and Rob sit down with Ben Sparke, Enterprise Azure Cloud & AI Specialist for UK Defence at Microsoft, for a fascinating journey from mission-driven to tech-driven. From infantry to intelligence to innovation, Ben shares how his military experience shapes how he builds technology today — and why the best solutions don’t start with code, but with understanding the human on the ground.    💡 Key insights:  ⚙️ Tech design fails when it ignores the end user, even more so in high-risk environments 🪖 Improvisation isn’t chaos; it’s innovation under pressure 🌍 Defence and enterprise share the same challenge: balancing safety, governance, and freedom to experiment 🎧 Listen now : https://bit.ly/3VlQaKY  💬 How do you build technology that earns trust in the moments that matter most?

🪖 Adaptability. Precision. Mission focus. These are qualities veterans bring to the civilian workforce—and they’re exactly what’s needed as technology shifts toward AI-driven agents and orchestration frameworks. Microsoft’s new Agent Framework introduces orchestration styles that feel a lot like battlefield strategies: ✅ Sequential (step-by-step execution) ✅ Concurrent (parallel maneuvers) ✅ Handoff (transferring responsibility mid-mission) ✅ Group chat (collaborative decision-making) Veterans know these patterns well. The military teaches them every day. Now, those same skills can be applied to orchestrating AI agents, managing complex systems, and leading innovation in the tech world. 💬 Veterans, how would you apply mission-based thinking to managing multi-agent AI workflows?

AI is running hot, literally 🔥 As AI workloads push existing infrastructure to the limit, the biggest challenge isn’t just computing power… it’s heat. Microsoft is experimenting with microfluidic cooling channels etched directly into AI chips, a design inspired by biology that lets liquid coolant flow inside the silicon. Early tests show it can drop peak chip temps by up to 65% and cool 3× more efficiently than today’s methods. Why this matters for business leaders: 1. Data center energy use is already skyrocketing 2. Overheating means higher costs and shorter hardware lifespans 3. Cooling efficiency could become the key to scaling AI sustainably At TeamLogic IT, we track innovations like this so our clients know where infrastructure is headed, and what they can do today to prevent tomorrow’s bottlenecks. 👉 Is your IT environment ready for the heat of modern workloads? Let’s talk about building resilience now. Read More: https://lnkd.in/gd8vrn9x #AI #Innovation #DataCenters #TechStrategy #Cybersecurity #TeamLogicIT

AI is running hot, literally 🔥 As AI workloads push existing infrastructure to the limit, the biggest challenge isn’t just computing power… it’s heat. Microsoft is experimenting with microfluidic cooling channels etched directly into AI chips, a design inspired by biology that lets liquid coolant flow inside the silicon. Early tests show it can drop peak chip temps by up to 65% and cool 3× more efficiently than today’s methods. Why this matters for business leaders: 1. Data center energy use is already skyrocketing 2. Overheating means higher costs and shorter hardware lifespans 3. Cooling efficiency could become the key to scaling AI sustainably At TeamLogic IT, we track innovations like this so our clients know where infrastructure is headed, and what they can do today to prevent tomorrow’s bottlenecks. 👉 Is your IT environment ready for the heat of modern workloads? Let’s talk about building resilience now. Read More: https://lnkd.in/gd8vrn9x #AI #Innovation #DataCenters #TechStrategy #Cybersecurity #TeamLogicIT

The Hidden Risk in AI Data Centers - AI data centers are bigger, denser, and more power-hungry than anything we’ve seen before. That makes them more vulnerable. A single surge can ripple through GPU clusters, cooling systems, and critical infrastructure — causing outages that last hours (or even days). The difference between resilience and risk? Planning. In our latest article, we break down: ✅ The hidden vulnerabilities in today’s AI facilities ✅ Why lightning protection can’t be an afterthought ✅ Practical steps operations leaders can take to future-proof infrastructure Read more in our latest article: https://lnkd.in/g4vug6mF Question - How often does lightning protection come up in your AI facility planning conversations?

Why Technology Strategy Must Be a Boardroom Conversation “The next competitive advantage won’t come from your product—it’ll come from how intelligently you use technology.” Most companies say technology is “strategic.” But here’s the uncomfortable truth — too often, it’s still treated as a support function. Too many organizations still treat IT as a cost to control, not a lever to accelerate growth. But the reality is, technology is the business now. It shapes how we engage customers, how we deliver value, and how we compete. I’ve seen teams unlock entirely new revenue streams just by rethinking how their network, security, and collaboration tools align with their goals. The companies winning right now? They’re not spending more on technology—they’re using it smarter. The question isn’t “what’s our IT plan?” — it’s “how is our technology strategy powering our business outcomes?” Drop a comment below …“Is your executive team treating technology as a business lever — or still as IT spend?” #ManagedNetworkServices #AI #CloudComputing #DaaS #NaaS XTIUM

The future of AI infrastructure just got cooler—literally. Microsoft has developed a new way to cool AI chips using microfluidics-tiny liquid channels etched directly into the chip.   Cools up to 3x better than traditional methods Uses AI to guide coolant flow Supports more powerful and efficient chip designs Successfully tested with a Microsoft Teams server simulation   This could change how datacenters handle heat as AI demands grow.

Building an AI-ready network isn’t just about bandwidth. It is also not about adding more hardware either. Being AI-ready means making your network adaptable, context-aware, and intelligent enough to keep up with the AI systems it supports. The next generation of campus and branch networks will be judged not by raw capacity, but by their ability to: Recognize AI-driven flows in real time. Prioritize critical workloads automatically. Secure sensitive data without slowing operations. In other words, AI is changing the rules of networking. Traditional metrics like throughput, uptime, latency are no longer enough. Networks need to think more like AI: Dynamic. Predictive. Responsive to changing conditions in real time. If your network can’t make decisions as quickly as the AI applications running on it, you’re not AI-ready, you’re just faster at doing the same old tasks. Being AI-ready is strategy, not just infrastructure. It’s about designing networks that: Scale intelligently. Adapt automatically. Deliver seamless experiences no matter where users or devices are. Bandwidth is easy. Adaptability is hard. And that’s exactly what will separate the networks and the engineers who thrive in the AI era from those who get left behind. 🔁 Repost to help more engineers stay ahead of the curve.

⚡ The IT landscape is shifting fast. AI, cloud and hybrid approaches are rewriting the rules — and not every skill is keeping pace. Here’s what’s HOT right now 🔥: ✨ Human-centric problem solvers guiding AI ✨ Designers of intelligent, adaptive systems ✨ Hybrid cybersecurity pros ✨ Versatile “tech utility infielders” (cross-discipline) ✨ Creators of AI-enabled products And what’s COOLING ❄️: ⚠️ Chasing every skill without focus ⚠️ Traditional code maintenance ⚠️ Manual threat detection ⚠️ Outdated certs (CCNA, ITIL, A+) ⚠️ Purely technical skills with no business impact 💡 The real winners? People and organisations who blend human insight with emerging tech to stay ahead of the curve. 👉Is your business ready for these shifts? Full insight here: https://heyor.ca/Vie5zd #ITCareers #FutureOfWork #AIInnovation #TechTrends

Draghi a year after the Draghi report - a must watch (link in comments). Lots of #AI in there, too - some points, generated with the help of AI: 👉Europe must build AI on its own strengths — rooted in European IP and tied to its #industrial backbone — instead of just importing outside models. 👉AI needs an #ecosystem, not just algorithms — To succeed, AI must be supported by cloud infrastructure, high-performance computing, cybersecurity, advanced networks (5G, fibre, satellites) 👉"Only countries that align energy strategy with digital policy will capture the largest gains in the AI race.”: #Energy + #Digital = Competitive Edge 👉Low AI #adoption among SMEs — Even when the technology exists, smaller firms in Europe lag in uptake (estimates in the range of 13–21 %) compared to peers. 👉 Need to scale innovation, simplify regulation, integrate AI vertically, fix energy costs 👉 “Europe’s growth model is fading, vulnerabilities are mounting—and inaction threatens our sovereignty.” 👉Act with the speed and intensity the moment demands