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PIM Systems in the Age of AI: Real Benefits for Businesses

Jan 30, 2026 By OpsMatters In OpsMatters

Modern companies and brands compete across multiple channels: websites, marketplaces, social media, and apps, while customers expect accurate, detailed, and personalized product information instantly. Managing product data manually is no longer sustainable. Product Information Management (PIM) systems, once reserved for large companies, are now essential for businesses of all sizes. The global PIM market reached $14.4 billion in 2024 and is expected to grow to $33.4 billion by 2033 (IMARC Group). This growth reflects the urgent need for centralized product data management.

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N-able Ushers in New Era of Business Resilience Fueled by AI

Jan 29, 2026 By N-able In N-able

For today's SMBs, AI capabilities from N-able turn resilience into a built-in, everyday business function.

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Refactor Safely with AI: Using MCP and Traffic Replay to Validate Code Changes

Jan 29, 2026 By Matthew LeRay In Speedscale

So as software engineers using AI coding assistants, we’re quickly learning of a new anti-pattern: Hallucinated Success. You give your agent (e.g. Claude via terminal or various IDE code assistants) the command “refactor the billing controller.” The agent happily complies, churning out nice clean code. The agent even goes so far as to write a new unit test suite that passes at 100%. You integrate it. Your test suites pass. Your production code breaks. Why?

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Webinar Recap: What It Really Takes To Make AI Profitable

Jan 29, 2026 By Keith MacKenzie In CloudZero

Right now, 48% of organizations say they’re being asked to measure or report on AI-related costs. The problem is that they’re still figuring out how to do it. That was a very telling stat from a recent CloudZero webinar on AI and profitability, and speaks loudly to the reality that many organizations are still struggling to get a grasp on AI spend which our data shows to be rising sharply as a part of total spend in recent months.

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IT as the Proving Ground for AI: Driving Enterprise Innovation

Jan 29, 2026 By Digitate In Digitate

As per the Enterprise AI Survey conducted by Digitate in collaboration with Sapio Research revealed that IT operations have emerged as the primary proving ground for artificial intelligence in the enterprise. With 78% of organizations already deploying AI in IT, 65% identifying ITOps as the biggest AI beneficiary, and adoption outpacing every other function, IT leads enterprise AI maturity.

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Transform IT Service Management with GenAI-Powered ITSM

Jan 29, 2026 By Infraon In Infraon

IT teams face growing demand, slow responses, and repetitive tickets. Infraon ITSM changes that with intelligent automation and GenAI.

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AI Agent Monitoring | Debugging Next.js Applications with Sentry

Jan 29, 2026 By Sentry In Sentry

If you're building a Next.js application that has AI capabilities inside it, Agent Monitoring helps put all the AI context with the rest of the data inside Sentry. Correlating tool call duration with database performance and token consumption helps debug in full-stack context.

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Harness AI January 2026 Updates: Human-Aware SRE and Smarter API and Application Security | Harness Blog

Jan 29, 2026 By Chinmay Gaikwad In Harness

Harness AI is starting 2026 by doubling down on what it does best: applying intelligent automation to the hardest “after code” problems, incidents, security, and test setup, with three new AI-powered capabilities. These updates continue the same theme as December: move faster, keep control, and let AI handle more of the tedious, error-prone work in your delivery and security pipelines. ‍

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Scaling AI Reliability: Real world lessons from Mistral AI

Jan 28, 2026 By Checkly In Checkly

How does one of the world's leading AI companies keep its infrastructure reliable while shipping new models constantly? In this webinar, Devon Mizelle, Senior SRE at Mistral AI, shares the real story. Devon walks through how Mistral built an automated system that generates synthetic checks for every model the moment it goes live—no manual configuration, no forgotten monitors, no inconsistent alerting. Using monitoring as code, his team eliminated the toil of maintaining hundreds of checks across a rapidly evolving model ecosystem.

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How Cisco Revolutionized Platform Engineering with Komodor's Agentic AI

Jan 28, 2026 By Itiel Shwartz In Komodor

In the world of cloud-native infrastructure, complexity is the silent killer of innovation. For Cisco Outshift, the company’s incubation engine, managing a sprawling environment of AWS EKS clusters and edge-based MicroK8s workloads created a classic bottleneck: the Platform Engineering team was drowning in toil. Facing SRE burnout and the limits of human scaling, Cisco embarked on an ambitious journey to evolve its internal operations from standard DevOps to Agentic AI.

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