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Volume 337, Issue 5 · 2026-04-27 – 2026-05-03 · Popular →

Monday’s Briefing · May 4

Computerworld, Monday, April 27th, 2026

Your AI Strategy Is All Wrong

Organizations should redesign their knowledge ecosystems around human-AI collaboration rather than replacing employees with AI. more →

Your AI Strategy Is All Wrong

TechTarget, Friday, May 1st, 2026

5 IT Leadership Tips For CIOs

Five essential IT leadership practices for CIOs to align technology with business outcomes and drive organizational success. more →

5 IT Leadership Tips For CIOs

DevOps.com, Friday, May 1st, 2026

The Trust Problem With AI Agents in Production Pipelines

Let me describe a scenario that is already playing out in production environments. A team deploys an AI agent to handle routine infrastructure scaling. The agent performs flawlessly for weeks. It optimizes costs, responds to traffic patterns faster than any human could, and the team starts trusting it implicitly. more →

The Trust Problem With AI Agents in Production Pipelines

DevOps.com, Wednesday, April 29th, 2026

AIOps Isn't Optional Anymore: What Modern DevOps Teams Must Adapt To

Modern infrastructure has become much more complicated than in the past. There is a constant flow of information, consisting of metrics, logs, and alerts. This is due to the introduction of microservices architecture, hybrid clouds, containerization, and IoT. Reliability is critical in the current business environment because the failure of infrastructure could mean losses for both reputation and productivity. more →

AIOps Isn't Optional Anymore: What Modern DevOps Teams Must Adapt To

DevOps.com, Tuesday, April 28th, 2026

GitHub Faces Scaling Issues as AI Development Surges

It appears that GitHub has its hands full adjusting to the demands of scaling AI workloads. First, the company paused sign-ups for its Copilot subscription tiers in response to a wave of demand from agentic AI projects. Then it shifted to usage-based pricing to, again, better align revenue with the heavy compute demands of AI projects. more →

GitHub Faces Scaling Issues as AI Development Surges

Techstrong.ai, Friday, May 1st, 2026

The AI Execution Gap

Most organizations struggle to scale AI from pilot projects to production due to organizational and operational failures rather than technical limitations. more →

The AI Execution Gap

Upcoming Event · Tue, Oct 13 · 1:00pm

Modernization That Ships with AI

Most companies are adding AI agents to legacy systems rather than modernizing how the work actually gets done. That may create isolated productivity gains, but it rarely removes the outdated applications, fragmented data, manual handoffs, and hidden dependencies that continue to slow the business. more →

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Modernization That Ships with AI (Oct. 13th)

Security Boulevard, Friday, May 1st, 2026

Addressing the Edge Security Paradox

Edge security paradox describes how devices that strengthen defenses can create vulnerabilities when security controls lag deployment. more →

Addressing the Edge Security Paradox

Cisco Blogs, April 28,2026

5 signs your data center is holding your AI strategy back

Business leaders are demanding AI strategies. They want faster insights, smarter automation, and measurable returns. Many industry experts argue that the biggest hurdle to AI adoption is a lack of a clear objective - a strategy problem. more →

5 signs your data center is holding your AI strategy back

Upcoming Event · Tue, Sep 22 · 1:00pm

Trustworthy AI in the Cloud: Observability as a Control System

This session explores why observability is emerging as a foundational capability for trustworthy AI. Rather than focusing solely on infrastructure health, modern observability provides the transparency and context needed to understand how AI systems behave, why they produce specific outcomes, and whether they continue to perform as intended over time. more →

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Trustworthy AI in the Cloud: Observability as a Control System (Sept. 22nd)