Operations | Monitoring | ITSM | DevOps | Cloud

The Hidden Warning Signs Before Hybrid IT Outages (And How AI Finds Them)

Hybrid IT environments are the reality for most organizations today. Unfortunately, they’re also one of the biggest reasons outages are now harder to prevent. Between on-prem infrastructure, cloud services, SaaS platforms, distributed networks, and modern applications, IT teams are managing an ecosystem of dependencies that changes constantly.

Episode 9 - AI, Enterprises, and the Law

In this episode of The Intelligent Enterprise, host Tom Stoneman takes us inside the different ways that AI is being utilized in the practice of law. In this episode, Tom is joined by Vintee Mishra, an attorney who’s currently part of the Commercial Contracting Organization at Navy Federal Credit Union, and has previously occupied supporting roles at Tata Consultancy Services, Cisco, First Technology Credit Union, and Moody’s Analytics.

Where Most Operational Waste Comes From-and How AI Automation Cuts It

Most operational waste comes from fragmented workflows rather than individual performance constraints. An incident begins long before any fix is applied. Alerts trigger, tickets open, and engineers start reconstructing context across systems that were never designed to operate as one. Logs, metrics, past incidents, and runbooks sit in separate tools, each requiring manual lookup, interpretation, and validation before any decision can be made.

Responsible AI Writing: How Teams Use AI Tools Without Losing Authenticity

AI writing tools have made content creation significantly faster. Drafts that once required hours can now be produced in minutes, helping teams scale documentation, communication, and content production. However, speed alone does not guarantee quality. As AI-generated content becomes more common, many teams are finding that raw output often lacks clarity, consistency, or the tone required for professional use.

What Native Audio in AI Video Actually Means for the Future of Content

In 2026, the arrival of native audio has officially ended the silent film era of generative AI. For years, creators had to hunt for sound effects and manually align voiceovers in post-production, but the new standard is simultaneous generation. Native audio means the AI no longer simply adds sound to a finished clip. Instead, models like Seedance 2.0 on the Higgsfield platform generate audio and video together in a single mathematical pass. This shift from fragmented tools to a unified multimodal architecture is fundamentally changing how content is produced.

Why Autonomous AI Agents Can't Run on SaaS Infrastructure

The era of the “copilot” is ending. We are moving rapidly toward the era of the autonomous software factory, where autonomous agents don’t just autocomplete our code—they investigate, plan, test, and merge entire features while we sleep. But this shift has exposed a critical flaw in how we consume AI. For the past decade, the default motion for enterprise software has been SaaS. It’s easy, frictionless, and managed by someone else.

Deterministic by Design: How Harness Grounds AI Agents in Structured Data | Harness Blog

When AI agents operate across a multi-module platform like Harness (from CI/CD to DevSecOps to FinOps), the number one goal is to give you answers that are correct, consistent, and grounded in real data. Getting there requires a deliberate architectural choice: when a question can be answered from structured platform data, the agent should use a schema-driven Knowledge Graph rather than raw API calls via MCP. The principle is simple: if the data is modeled, retrieval should be deterministic.

Kosli and Adaptavist Partner to Automate Governance for AI driven Software Delivery

Today, Kosli and Adaptavist announce a strategic partnership to help regulated enterprises automate governance for AI driven software delivery - making it automated, continuous, and evidence-driven rather than a manual checkpoint that sits apart from DevOps and CI/CD. Adaptavist brings deep enterprise DevOps transformation expertise: assessment and strategy, DevSecOps integration, developer experience, and implementation across Atlassian, GitLab, and AWS.