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What is agentic AI? (explained in 60 seconds)

Agentic AI is the next evolution of artificial intelligence. Unlike traditional AI, it can act autonomously and make decisions on its own. Here’s what that actually means, without the hype. Additional Resources: About Elastic Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale. Elastic’s solutions for search, observability, and security are built on the Elastic Search AI Platform — the development platform used by thousands of companies, including more than 50% of the Fortune 500.

AI NetOps: How AI and Machine Learning Transform Network Operations

AI is changing network operations (NetOps) from static automation into adaptive, data-driven systems that can summarize incidents, retrieve knowledge, and guide remediation with human oversight. In this talk, Phil Gervasi breaks down what “AI for NetOps” really means in practice, including the difference between classical ML and large language models (LLMs), why data pipelines matter more than model tuning, and how patterns like RAG (retrieval augmented generation), text-to-SQL, and agentic workflows turn raw telemetry into decisions.

Silent Failure in Production ML: Why the Most Dangerous Model Bugs don't Throw Errors

You’ve done it. Your machine learning model is live in production. It’s serving predictions, powering features, and quietly doing its job. Dashboards are green. There are no errors in the logs. Nothing appears broken. And yet, something is wrong. Predictions are getting less reliable. Users are waiting a little longer for responses. Conversion rates are slipping. Trust is eroding, but no alert fires, no system crashes, and no one knows there’s a problem until the damage has been done.

Agentic AI in DevOps: The Architect's Guide to Autonomous Infrastructure | Harness Blog

For the last decade, the holy grail of DevOps has been Automation. We spent years writing Bash scripts to move files, Terraform to provision servers, and Ansible to configure them. And for a while, it felt like magic. But any seasoned engineer knows the dirty secret of automation: it is brittle. Automation is deterministic. It only does exactly what you tell it to do. It has no brain. It cannot reason.

Beyond boundaries: How global collaboration defines AI in 2026

As we move through 2026, the global conversation around AI is shifting from simple adoption to a deeper focus on true openness and sovereignty. In this session from Civo Navigate India 2025, OpenUK CEO Amanda Brock explores the evolving state of AI openness and shares a significant milestone: India is now the world’s number one open-source contributing community.

AI Vendor Lock-In: How AI Is Creating A New Dependency Problem

Like most SaaS companies, you’re under pressure to ship AI-powered features faster, smarter, and at scale. For many teams, that pressure leads to relying on external AI platforms, managed models, and third-party APIs instead of building everything from scratch in-house. At first, it feels like a win. Your team ships an AI-powered feature in weeks instead of months. No GPU clusters to manage. No models to train. No infrastructure to babysit.

The rise of the agentic future: scaling AI workflows with relaxAI and n8n

This blog is based on the webinar, “From idea to agent: Building AI workflows with relaxAI and n8n”. You can watch the full recording by clicking here! AI isn’t slowing down. We’re moving from “ask a chatbot” to agents that run the multi-step workflows, use tools, and are built for real business processes. Most teams aren’t blocked by ideas. They’re blocked by three things: complexity, cost, and control.

24/7 Business Support: How Chatbot Technology Reduces Support Costs

Customer support operates as a cost center for most companies, consuming 15-20% of operational budgets while struggling to meet growing service demands. Evening and weekend inquiries pile up, response times stretch beyond acceptable limits, and hiring more agents only increases expenses without solving scalability issues.