Operations | Monitoring | ITSM | DevOps | Cloud

When was the term artificial intelligence coined?

Mar 3, 2026 By Elastic In Elastic
Discover when the term artificial intelligence was first introduced and how it shaped the future of AI research and machine learning. This video breaks down the origin of AI and its historical significance in modern technology. 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.
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How AI Is Quietly Revolutionizing the Way the Legal World Write

How AI Is Quietly Revolutionizing the Way the Legal World Write

Mar 3, 2026 By OpsMatters In OpsMatters
There's a persistent image of the lawyer: brilliant, overworked, surrounded by mountains of paper, billing $800 an hour to draft language that hasn't meaningfully evolved since the 19th century. It's not entirely wrong. Legal writing is one of the most document-heavy, precision-demanding disciplines on earth. A misplaced comma in a contract has cost companies millions. A vague clause in a will has torn families apart.
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iOPEX

Why Your AI CX Investment isn't Moving the Needle - An Honest Assessment

Mar 2, 2026 By iOPEX Technologies , In iOPEX
Your team deployed the conversational AI. Implemented sentiment analysis. Built real-time dashboards that show exactly when customers get frustrated. You can see Customer is about to churn over a billing error. You know their satisfaction score dropped from 8 to 3. And yet nothing happens. The billing error persists. The customer leaves anyway. Your NPS hasn't moved in 18 months.‍ This isn't a technology problem. It's an execution problem. And it's costing you customers.
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jfrog

The Tide of AI - Surfing the Tsunami of Binaries

Mar 2, 2026 By Shlomi Ben Haim In JFrog
AI is creating an overwhelming surge of digital artifacts and software components. The key to success is learning how to ride, secure, govern, and manage that wave – rather than being overwhelmed by it. This weekend, I asked my team to watch Chasing Mavericks. Jay Moriarity (not J-Frog, but stay with me) was one of the most driven and determined surfers imaginable. His courage and spirit were extraordinary. But those virtues were shaped and refined by his mentor, Frosty Hesson.
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mezmo

Why we open-sourced AURA: Infrastructure for production AI

Mar 2, 2026 By Henry Andrews In Mezmo
Over the last year, I’ve talked to dozens of SRE teams about AI. The excitement is real, but conversations hit a wall when we get to production reality. How does an agent manage complex context without losing the plot? How does it avoid hallucinating relationships between signals? Who owns the orchestration logic that ties it all together? We realized the bottleneck wasn’t model intelligence. It was the lack of a reliable logic layer between the data and the model.
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Komodor

When AI Writes the Code, Who Pays the Cloud Bill?

Mar 1, 2026 By Ilan Adler In Komodor
This is part two of a series of the implications of AI generated code becoming mainstream. We recently wrote about how AI-generated code is overwhelming SRE teams with production complexity they can’t manage. Turns out that’s only half the problem. The other half shows up on the cloud bill. A prospect reached out to us last month. They’d been using Cursor and Claude Code for six months, shipping features at unprecedented velocity. Product was thrilled.
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Humanized AI Text for Stronger DevOps and Operations Content

Humanized AI Text for Stronger DevOps and Operations Content

Feb 28, 2026 By OpsMatters In OpsMatters
You create content for operations teams, DevOps engineers, SREs, and IT decision-makers. Topics include monitoring, incident management, cloud infrastructure, ITSM processes, and observability tools. AI generates initial drafts quickly. The results frequently come across as mechanical. Sentences follow predictable patterns. Technical explanations lose nuance. Readers in this field expect precise, practical language from experienced practitioners. They detect generated text easily. Engagement drops when content feels detached from real-world ops challenges.
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fabrix

How Fabrix.ai Agents Ensure Data Privacy & Security

Feb 27, 2026 By Shailesh Manjrekar In Fabrix
As Agentic AI moves into enterprise environments, IT and security leaders face a critical challenge on how to leverage advanced LLMs without exposing sensitive data, intellectual property, or proprietary configurations to the cloud. You cannot build a self-driving, autonomous IT infrastructure if your security team blocks the deployment, and that’s exactly why the Fabrix.ai platform features an Enterprise-Grade LLM Integration architecture anchored by our built-in Data Security layer.
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