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How CloudZero's OpenAI Integration Provides Unprecedented AI Unit Economic Insights

AI spending continues to accelerate. In 2025, experts project that companies will collectively spend about $644 billion on generative AI alone — a whopping 76.4% increase from 2024. This puts it a mere $79 billion behind the public cloud as a whole, signaling the most seismic interval of new infrastructure investment since the dawn of the public cloud.

Agentic AI: Powerful But Fragile-What You Need to Know

Just when you’d finally wrapped your head around AI, here comes its autonomous cousin, Agentic AI. Think of it as AI that doesn’t just assist, but acts. It makes decisions, handles tasks, and communicates with other systems on its own. While it’s revolutionizing supply chains and customer experiences, there’s a catch. These autonomous agents rely on a plethora of third-party services, and when one fails, everything stops.

Is AI already replacing me? Insights from Civo Navigate

With all the rapid advancements in machine learning and AI, it can feel like we’re constantly playing catch-up. Over the last two Civo Navigate conferences, Berlin 2024 and San Francisco 2025, Civo brought together leading experts to discuss the future of AI, machine learning, and the growing challenges and opportunities for developers and businesses.

AI Service Desk Showdown: RITA vs. Legacy Chatbots

Over the last decade, IT teams have leaned on chatbots to manage rising support volumes, aiming to deflect tickets and lighten the burden on overworked service desk agents. These legacy chatbots served a purpose—but today they’ve hit a wall. Static responses and script-based flows can’t keep pace with the expectations of modern digital workers or the dynamic needs of enterprise IT. That’s where a new kind of intelligence emerges.

AI threat hype: why chasing ghosts leaves real vulnerabilities exposed

With AI at the center of media and industry focus, cybersecurity teams are increasingly putting pressure on themselves to prepare for AI-fueled cyber attacks. According to Ivanti’s 2025 State of Cybersecurity research, half of IT security professionals ranked “yet unknown weaknesses” as a high or critical threat – the same as or higher than compromised credentials, supply chain risks, DDoS attacks and other real-world threats.

Stop Guessing: Let AI Handle the Debt Conversation

Traditional debt collection tactics fail in today's fast-paced digital age. Generic letters and repeated calls no longer deliver results. AI has shifted that landscape. Reaching out at the right time is easier when you know customer habits and preferences. This helps make contact smarter. Personalized service, cost savings, and increased efficiency are all possible. The best part? No new hires are required. Consumers now expect digital-first tools and flexible communication. Collectors get better with AI. It handles timing, channels, message tone, and follow-up without effort.

Beyond Chatbots: Advanced Generative AI Use Cases to Supercharge Team Collaboration

Emails compose themselves. In 2023, Gmail introduced the "Magic Compose" feature and its "Help me write" button (later rebranded as Gmail's Gemini Assistant), enabling users to draft, reply to, or polish entire emails using a short prompt or by selecting an already typed phrase. At the same time, AIpowered meeting summaries became built into tools like Notion, where /meet now triggers fully automatic transcription, structured summaries, and tagged action items, eliminating scribbles and missing points. Meanwhile, calendars are no longer static deadlines in spreadsheets.

Elastic bandwidth and the future of AI-driven networks

In this employee spotlight blog, Shaheen Kalla, Presales Team Lead, explores what the future of AI in networking may hold and the possibilities it presents. So much has been written about AI in the context of software engineering, machine learning, and data manipulation - especially where large datasets are involved. However, very little has been explored when it comes to AI from a networking perspective.

End-to-end testing and deployment of a multi-agent AI system with Docker, LangGraph, and CircleCI

Multi-agent AI systems are transforming how intelligent applications are built. By orchestrating multiple specialized agents that collaborate to solve complex tasks, these systems enable more dynamic and efficient workflows. However, deploying such a system reliably and at scale requires a structured approach to testing, packaging, and automation.