Every engineer should have an opinion on AI
Leaders should give engineers the space to experiment with AI tools so they can form real opinions about what works and what doesn’t.
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Announcing the 2026 State of AI-First Operations Report
For years, our annual State of Digital Operations report has been the industry benchmark for understanding how organizations manage incidents, build resilience, and evolve their operational practices. Each year, we survey hundreds of business and operations leaders worldwide to capture the challenges, priorities, and emerging practices shaping digital operations.
The next wave of AI: Balancing innovation with sovereignty
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.
Re-Inventing Network Operations: Are AI Extensions the Right Path?
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.
Event Intelligence for Agentic IT Operations
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.
AI probably won't take your job
But someone who knows how to use AI well might.
Powering enterprise AI at scale: The Elastic and NVIDIA cuVS integration
Seamlessly vectorize high-volume data and accelerate your time to production with the new gold standard for GPU-accelerated vector search.
AI makes coding faster, shipping is the bottleneck
AI can generate code in seconds. But validation, testing, and review still take time.
Incident Response Reimagined: Accelerating Resolution with AI Agents
Learn how PagerDuty is leveraging Agentic AI to transform the incident lifecycle from reactive firefighting to proactive prevention. Manuel Reis, Software Developer at PagerDuty, demonstrates how new tools like the SRE Agent and Scribe Agent assist engineers during high-pressure outages by autonomously triaging alerts, querying logs in tools like Grafana, and transcribing context directly into incident channels.
Prompt, Deploy, Pray Is Dead: Validating AI Code with Proxymock
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.