Operations | Monitoring | ITSM | DevOps | Cloud

This blog is based on the webinar, “AI panel: The next wave of AI technology”. You can watch the full recording by clicking here! The pace of AI innovation is reshaping research, business, and everyday life. However, as breakthroughs in Large Language Models (LLMs) and high-performance computing accelerate, they bring new technical challenges around scale, efficiency, and reliability.

For decades, telecom network operations have depended on traditional OSS tools – complex, services-heavy platforms that take years to modernize and even longer to deliver measurable business impact. This year at MWC, the leading OSS vendors showcased a variety of new AI extensions for their portfolios and marketed them as the fastest path to autonomous network operations. They are not.

Modern IT teams are experimenting with AI agents. But individual agents, working in isolation are not enough. To truly achieve Agentic IT Operations, organisations need a platform — one that coordinates, governs, and contextualises AI-driven actions across the entire IT landscape. That’s where Interlink Software comes in.

Seamlessly vectorize high-volume data and accelerate your time to production with the new gold standard for GPU-accelerated vector search.

Recent outages tied to AI-assisted code changes have pushed companies into a corner. After several incidents with massive “blast radius” impacts, organizations like Amazon introduced stricter controls—mandating that senior engineers manually review all AI-generated code before it hits production. That response makes sense on paper, but it exposes a fatal flaw in the modern development pipeline.

You spent the last decade obsessing over connectivity. You bought into the hype that ‘data is the new oil.’ You fitted your entire fleet with sensors and built massive dashboards to track everything from battery cell temperature to tire pressure. The mission was simple: Capture every metric. Congratulations, you succeeded. You are now drowning in terabytes of data. But here is the hard truth: Data without action is just expensive noise.