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How LogicMonitor Delivers AI Cost Optimization

Feb 20, 2026 By Teia Jensen In LogicMonitor

LogicMonitor delivers AI cost optimization by unifying infrastructure telemetry, AI-specific signals, and cloud financial data into a single workflow, so teams can move from visibility to continuous, operationalized cost control. In Cost Optimization for AI Workloads: From Visibility to Control, we explored why AI workloads introduce new layers of cost complexity—from GPU-heavy compute and token-based pricing to distributed infrastructure that obscures true spend.

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Cost Optimization for AI Workloads: From Visibility to Control

Feb 20, 2026 By Teia Jensen In LogicMonitor

ITOps teams can achieve cost management of AI workloads with an observability platform that connects AI usage and performance with cloud spend for clear visibility and predictability. Behind the buzz around artificial intelligence, or AI, many companies are discovering the hidden and compounding costs of AI adoption.

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Automation and AI: Autonomous, Secure, and Scalable Networks

Feb 20, 2026 By Ribbon In Ribbon

Watch our 30‑minute preview webinar on 18th February at 4:00 pm CET where industry leaders reveal how service providers are transforming their networks to be autonomous, cloud‑ready, and future‑proof. Register today and meet us in Barcelona - Hall 2, Stand 2C42.

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Is Paimon just Iceberg on steroids?

Feb 20, 2026 By Aiven In Aiven

Giannis Polyzos sits down with Hugh Evans to discuss whether Paimon is really just Iceberg, only better.

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Deploy on Friday, Ep. 131 -- AI Pulse report, new MCP tools, and npm support

Feb 20, 2026 By Codefresh In Codefresh

It's Friday, which means it's time to deploy.

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Elephant in the Room, Episode 4: Protecting Customer Data with PostgreSQL Anonymizer & Django

Feb 20, 2026 By Aiven In Aiven

In Episode 4 of Elephant in the Room, we tackle a question many teams struggle with: how do you protect sensitive customer data from your own developers while still running and improving your web application? Join Jay Miller (Aiven) and Tim Schilling of Djangonaut Space as they explore a real-world privacy challenge. Djangonaut Space’s application process requires collecting personal information from applicants, but reviewers and contributors should not have access to identifying details. The goal: enable fair review and active development without exposing sensitive data.

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6 Insights About Marketing Software That Improve Campaign Effectiveness

Feb 20, 2026 By OpsMatters In OpsMatters

Modern marketing relies on a complex stack of tools to reach the right people at the right time. Finding the perfect balance between automation and human creativity remains a primary challenge for growth-minded brands. Effective campaigns require more than just flashy graphics or catchy slogans. Data-driven decisions powered by reliable software ensure every dollar spent contributes to the bottom line of the business.

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A Guide to Implementing Business Technology Solutions

Feb 20, 2026 By OpsMatters In OpsMatters

Technology has become the backbone of modern business. Whether you are running a small local shop or building a larger company, the right technology solutions can improve efficiency, streamline operations, enhance customer experience, and support long-term growth. But implementing business technology is more than buying software or hardware. It is a strategic process that requires planning, alignment, and thoughtful execution.

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Is Generative AI Eroding Our Ability to Think?

Feb 20, 2026 By OpsMatters In OpsMatters

In aviation, there's a well-documented issue known as "automation addiction." As cockpit systems became more advanced, pilots gradually shifted from actively flying aircraft to supervising automated controls. Everything worked smoothly-until a system malfunctioned. Investigations revealed a troubling pattern: even experienced pilots sometimes struggled with basic manual maneuvers. Their hands remembered less because their brains had practiced less.

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AI-Driven Automated Testing for Oracle Applications

Feb 20, 2026 By OpsMatters In OpsMatters

As enterprises continue to change rapidly, businesses depend on Oracle-based ecosystems to track their finances, supply chains, HR, and customer operations. With the increase of digital transformation in companies, these environments continue to become more complex. As a result, manual testing is no longer enough for maintaining pace with ongoing updates, integrations and customizations that occur within an organization's systems. This is where AI-powered automated testing for Oracle applications revolutionizes how quality assurance is approached.

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