nettaro’s Post

The newly launched Pilipinas AI platform is a powerful example of how sovereign-first AI is taking shape - and Katonic AI is a central enabler. By integrating Katonic’s AI management tooling with Dell Technologies’s GPU infrastructure, hosted in ePLDT’s VITRO data centre, the platform offers enterprises an out-of-the-box AI stack that is secure, scalable, and locally compliant. Katonic’s contribution here matters in three key ways: 1. Operationalising sovereignty: Many organizations want “onshore AI,” but few know how to stitch together the platform, infrastructure, orchestration, and compliance controls. Katonic provides that backbone. 2. Bridging capability gaps: Pilipinas AI lowers the barrier to entry - small to mid-sized enterprises (including in banking, healthcare, public services) don’t need to build their own AI stack from scratch to get started. 3. Amplifying impact across borders: This isn’t just a local project - it’s proof that Katonic’s architecture can work in complex regulatory landscapes, combining global-grade infrastructure with local trust and compliance. https://lnkd.in/gQTUc6Wq #Philippines #AI #AISovereignty

AI is on everyone's mind, but is your infrastructure ready for the reality? 🤔 I recently sat down with DD Dasgupta, VP of Product Marketing at Equinix, to discuss why #AI is unlike any other workload we’ve dealt with. It’s fundamentally multi-stage (training, fine-tuning, inferencing) and distributed. The new mandate is clear: Stop moving massive amounts of data and start moving the AI model to the data to control costs and ensure compliance with digital sovereignty laws (which are only getting more complex!). Key Takeaways: Move the Model to the Data: Training needs to be where compute is, and Inferencing must be at the Edge for low-latency decision-making. Interconnection is King: Equinix is solving this with its Distributed AI architecture and the new Fabric Intelligence—a network module that makes dynamic routing decisions to support AI workloads and maintain sovereignty. Ecosystem > Single Vendor: No one can do AI alone. The ability to connect instantly to hyperscalers, neo-clouds (like Groq), and hardware vendors (NVIDIA, Dell, HPE) is critical. My advice to IT leaders is simple: Don't put your company at risk trying to figure this out alone. Get an assessment and start building a flexible, future-proof, turnkey AI infrastructure now. Watch the full conversation in the comments! 👇 https://lnkd.in/dnfXdCYa #AI #DigitalInfrastructure #Equinix #DistributedAI #DigitalSovereignty #DataSovereignty #HybridCloud Kate Keough, Jordan Stewart

13% of organizations have a solid AI strategy. Let that sink in. → 13% have mature AI plans. Cisco says those companies are pulling well ahead. → Biggest blockers: leadership misalignment, weak data stacks, talent gaps, unclear ROI. → That gap means winners will be decisive, not experimental. Strategy, data, and governance win. Not gonna lie, this surprised me. Just helped a client move pilots into production last quarter. Game changer or hype? Who's actually tied AI work to measurable outcomes? 👇 #Cisco #AIstrategy #DataGovernance #EnterpriseAI

FusionLayer Group has been working on digital twins in the network context for a while now. The way I see it, for this concept to work, there needs to be a paradigm shift in how networks are being run and managed.  #digitaltwins #ai #edgecloud #networks #sztp https://lnkd.in/ebjPRdPt

In a world where digital networks have become the backbone of industries, their complexity has grown exponentially. Managing performance, security, and adaptability in real time is no longer just a challenge—it’s a necessity. IBM’s latest innovation, Agentic AI for networking, addresses this challenge head-on. By embedding autonomous agents directly into network infrastructures, the technology can analyze conditions, make intelligent decisions, and adapt dynamically without manual intervention. This capability translates to faster response times, enhanced reliability, and reduced downtime. For enterprises, this means seamless scalability and improved operational efficiency. For industries handling critical services—such as telecommunications, finance, or healthcare—it offers a safeguard against disruptions while optimizing data flow and resource allocation. Developers and IT professionals gain a programmable, AI-driven framework that aligns with both on-premise and hybrid cloud architectures, making integration smoother and more future-ready. The impact of Agentic AI extends beyond efficiency—it opens the door to networks that think, learn, and evolve alongside the demands of business and society. Explore the details of IBM’s Agentic AI for networking here: https://lnkd.in/eBNW4TQi #ibm #sinaz #ai

Virtualization and AI: A Perfect Duo for Enterprise Transformation 🚀 Artificial Intelligence is redefining the corporate scene - predictive analytics and chatbots are only the beginning. - Rapidly growing AI demands pressure traditional setups. - High-Performance Computing becomes essential for AI tasks. - Enterprises can't lag behind in tech adoption trends. The real game-changer? Integrating existing IT setups like Cisco UCS servers, network switches, and VMware virtualization to fuel AI initiatives. 💡 Imagine leveraging your current investments to unlock unparalleled AI potential without overhauling your infrastructure. 🤖 Embracing this strategy positions you at the cutting edge of digital innovation. Enterprises enhancing AI capabilities with existing IT tools are not just saving costs - they’re future-proofing their operations. 📈 Watch how AI demands are shaping tomorrow's tech landscapes. Most businesses won’t realize the full potential until it’s visibly too late. #AITesting #HighPerformanceComputing #Virtualization #Innovation #EnterpriseSolutions

#AI presents significant opportunities, but it must be developed and implemented thoughtfully. 🤖 Check out this blog post from @Microsoft that outlines essential steps for responsible AI deployment, including aligning use cases with core values and validating results. Read the post and send us a DM if you're interested in support for applying these best practices in your organization.

Enterprise 5G is entering a new era: agentic AI is now part of NetCloud. Instead of just responding to prompts, ANA will soon coordinate a team of virtual agents to troubleshoot, configure, and optimize networks in real time. That means IT/OT teams can spend less time chasing tickets — and more time driving strategy and innovation.

Enterprise 5G is entering a new era: agentic AI is now part of NetCloud. Instead of just responding to prompts, ANA will soon coordinate a team of virtual agents to troubleshoot, configure, and optimize networks in real time. That means IT/OT teams can spend less time chasing tickets — and more time driving strategy and innovation.

Enterprise 5G is entering a new era: agentic AI is now part of NetCloud. Instead of just responding to prompts, ANA will soon coordinate a team of virtual agents to troubleshoot, configure, and optimize networks in real time. That means IT/OT teams can spend less time chasing tickets — and more time driving strategy and innovation.